The late Alan Watts, a philosopher, scholar, speaker, writer, and seminal figure in the counterculture of the Beat Generation, is getting a new publishing deal more than 50 years after his death.

Independent music publisher Third Side Music (TSM) has signed a new global creative publishing deal withThe Alan Watts Organization to foster creative music opportunities with Watts trove of 500+ hours of audio commentary, lectures, and radio programing for use in new songs by contemporary artists and in films, TV series, advertising, and other media.

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In recent years, Watts recordings, commentaries, and other works have been used in campaigns for major brands such asVolvo,GoPro,Cunard Lines,X-box,Netflix,Uber, andJack Daniels, among others.Although he was not a songwriter, hes credited for lyrics on hundreds of songs, and his works have been incorporated into thousands of lyric videos on YouTube and social media.

His words and compelling vocal delivery have sparked aviral TikTok sensation(#alanwatts has been used over 224 milliontimes) and inspired some of the worlds most influential artists and tastemakers, including Harry Styles, who overlaid WattsquoteThis sensation of being a separate lonely individual is a hallucinationas part of the intro inhis recent tours.

Watts has also been sampled by such artists asNas,Logic(The Incredible True Story, 27 million Spotify streams),INZO(Overthinker, more than 43 million YouTube views), andNuages(Dreams, 73 million YouTube views and 20 million Spotify streams).

As one of the first to interpret Eastern philosophy and make it relatable to Western audiences,Wattscommentaries andaspirational lectures on themes of unity, self-realization, and the spiritual world have proven to be evermore mainstream.He is perhaps best known for a multitude of famous quotes such as,What would you like to do if money were no object? How would you really enjoy spending your life?andI wonder, I wonder, what you would do if you had the power to dream at night any dream you wanted to dream.

Way Beyond the West,his Bay Area radio show that started in the 1950s, is still broadcast on KPFK in Los Angeles. By the early sixties, Watts radio talks aired nationally, and the counterculture movement adopted him as a spiritual spokesperson.

This is a dream come true. We are elated and honored to be entrusted to represent Alan Watts, whose recordings inspire and resonate today more than ever. Our global TSM creative team is excited to develop new music opportunities and work closely with Mark Watts and the Alan Watts Organization tohelp expose new audiences to his prolific recordings and legacy., saidAlex Kelman, EVP creative & A&R.

Mark Watts, director and cofounder of the Alan Watts Organization, said: Working with the wonderful team at Third Side Music brings abundant real-world experience and great talent to our focus on crafting creative relationships with musicians and labels. It will also help us foster conversations in the areas of filmmaking and commercial use. We are excited about the possibilities!

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Alan Watts, Beat Generation Philosopher And Seminal Counterculture Figure, Gets His Recorded Works Recycled - Yahoo News Australia

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In recognition of National Dairy Month, Organic Valley has announced ambitious plan to onboard more than 100 small organic family farms into its cooperative by the end of 2024. The cooperative, already the largest organic farmer-owned entity in the United States, has been steadily increasing its membership, reflecting its ongoing commitment to supporting and preserving small organic farms.

Organic Valleys growth strategy focuses on integrating new farms from diverse regions, including Pennsylvania, Wisconsin, New York, Indiana, Kentucky, Ohio, Missouri, and Iowa. This regional diversity helps enhance the cooperatives supply chain resilience and product availability across the nation. The cooperatives executive vice president of membership, Shawna Nelson, emphasized that these new additions align with Organic Valleys mission of nourishing organic food, sustainable family farming, and fostering thriving communities.

By bringing in these new farmer-owners, Organic Valley continues to lead the organic movement, demonstrating its ability to adapt and expand while maintaining high standards. Many of the new farms are joining due to challenges with other businesses or a desire to adopt more pasture-based organic farming methods, ensuring a stable future for the next generation of farmers.

Organic Valleys commitment to ethical farming practices and sustainable agriculture is evident in its dedication to protecting more than 400,000 acres of organic farmland across the United States. The cooperative ensures that its farmer-owners adhere to the stringent requirements of the USDA National Organic Program and Organic Valleys own high standards, which prioritize the dignity and interdependence of human, animal, plant, soil, and global life.

The cooperatives approach to farming involves meticulous care for soil health and animal welfare, aspects that resonate deeply with its newest members. Farmers like Toby Miller from Iowa appreciate Organic Valleys ability to provide a stable and solid market for their milk while also promoting the use of organic farming methods that avoid harmful chemicals. This focus on sustainability and long-term land stewardship ensures that Organic Valley remains a trusted leader in the organic sector.

Organic Valleys expansion bolsters its market position and strengthens its role as an advocate for ethical sourcing and sustainable farming. The cooperatives model supports farmers who are dedicated to managing their farms with care and respect for the environment, while ensuring that consumers receive high-quality organic products.

As Organic Valley continues to grow, it invites consumers to join its movement by learning more about its products and farmer-owners. The cooperatives website and blog provide insights into the lives and practices of its members, highlighting stories like that of the Miller family from Iowa. By sharing these narratives, Organic Valley aims to build a stronger connection between consumers and the sources of their food.

The cooperatives growth strategy also includes increasing market presence and expanding product availability in retail stores nationwide. By welcoming over 100 new farms, Organic Valley is set to enhance the diversity and volume of organic products on store shelves, meeting the growing consumer demand for sustainably sourced, organic foods.

In 2024, Organic Valleys expansion underscores its unwavering dedication to supporting small organic family farms and advocating for sustainable agriculture. The cooperatives success story serves as a testament to the power of collective effort in revolutionizing the food system, ensuring a stable future for farmers and high-quality organic products for consumers.

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Organic Valley Expands Cooperative, Welcoming Over 100 New Small Organic Family Farms in 2024 - Environment+Energy Leader

Features Newsday Reporter Yesterday Aaron Rampersadsingh also known as Ved Valmki launched his new book, Start Meditating Today, on June 8. Photo courtesy: Gareth Leigh Photography. -

BAVINA SOOKDEO

Aaron Rampersadsingh, also known as Ved Valmki, is preaching what he practises: he's launched a book, Start Meditating Today, on June 8.

Rampersadsingh, a 36-year-old from Preysal, began yoga and meditation in his childhood, heavily influenced by his mother.

My mom was a big part of learning yoga and my spiritual journey. She got both my sister and me involved in yoga when we were children. I have been steeped in yogic philosophy and spiritual practice (since) I was five years old.

After he went to Preysal Government School and Presentation College, San Fernando, his deeper engagement with yoga blossomed during his university years at Ramapo College, New Jersey, where he studied psychology and explored the impact of yoga on consciousness.

I returned home from the US because my mom had cancer and I wanted to be with her. During that time, I delved deeper into the spiritual aspects of yoga, especially meditation.

"When she passed in 2013, I had a hard time grieving.

"I would say that yoga rescued me from that, because I went to stay at an ashram.

At the ashram (a place dedicated to yoga and spiritual living), where he spent nine months, Rampersadsinghs guru guided him to explore yoga further, leading him to teach.

A pivotal moment in his life came during a pilgrimage to India in 2015. Visiting the ancient temple of Kedarnath in the Himalayas, Rampersadsingh experienced a profound spiritual change.

Before I entered that temple, I had always felt very uncertain about my life...When I was there I felt a shift: I did have a spiritual experience there.

This experience solidified his dedication to the spiritual practice of yoga and his mission to share it with others.

My whole life has been about spiritual exploration, he said when asked about his initial goals. I never had a clear goal about what I wanted to do until after the first time I went to India. I studied psychology in university because I wanted to understand myself and people better, but I really found that in yoga.

In 2017, he returned to India after qualifying for a scholarship to SVYASA University from the Indian High Commission. There he received his yoga certification and learnt more about the science behind yogic practices.

He's been a yogacharya (yoga teacher) since 2015, working from his studio in Preysal Village since 2017. It doesn't have an official name, but is mostly referred to as the Yoga with Ved Studio.

What is most rewarding for me in teaching yoga is seeing my students and clients begin taking charge of their lives, and to see the transformative power of these ancient spiritual practices.

Inspired by his students, Rampersadsingh decided to write Start Meditating Today as a comprehensive guide to meditation.

Meditation holds so much power in it. It transcends religion and helps us to get back to the spiritual core of our being, but it is practice, a journey that requires wisdom and guidance.

Realising he could not give as much as he wanted to just by teaching meditation classes, Rampersadsingh began writing this book to share some meditation techniques and concepts.

There is so much to explore in it, but we all have to start somewhere... hence the title, Start Meditating Today."

Writing it took about a year.

Sometimes I felt like the book was writing itself...Other times I really had to stay with it, be patient, and wait for the inspiration to enter my being to continue.

The process was both a learning experience and a testament to his discipline and dedication.

The book has three parts: the basics of meditation, deeper spiritual concepts, and the integration of meditation into daily life. It aims to reach anyone interested in meditation, from beginners to those seeking to deepen their practice.

Rampersadsingh hopes readers will find practical guidance and spiritual insight.

This book is for anyone who feels attracted to meditation but does not know how to start...and certainly it is for any person, of any religion, who sincerely desires spiritual growth in their lives.

Asked why yoga is important to him, he explained he believes it is crucial not only for his spiritual growth but also for societys future.

I see the power of yoga in its ability to bring back health, prosperity and harmony into people's lives. I believe that yoga, and its spiritual practices like meditation, have a place in ensuring a positive future for our society. And I am fully dedicated to my role in facilitating that.

Reflecting on how yoga has had an impact on his life beyond the physical practice, he said, Yoga has given me everything, and I am very grateful to my mom and my guru for guiding me on this path.

"Yoga showed me that peace of mind is not just an ideal, it is an achievable reality. Through yoga I have found a place in myself where I feel a deep sense of peace, connection and compassion and I strive every day to be conscious of that and to share that however I can.

Why is meditation important for today's people?

In this modern life we give our attention to everything outside...every problem and challenge we face is difficult because we have become disconnected from that inner source.

Through meditation, Rampersadsingh has found a deep sense of peace and aims to help others achieve the same.

He said the most immediate benefit of meditation for anyone, even if just starting off, is stress relief.

It gives a sense of relaxation and ease to help you rest and recover. As you go a little deeper it will help you to become healthier, manage your emotions, and uplift your thinking.

When you commit to yoga as a lifestyle, It will lead you to spiritual connection and insight to help you live in alignment with your life purpose and to reveal your full potential.

Looking ahead, he plans to continue writing and expand his teachings through coaching, workshops, and retreats. He hopes to see a greater appreciation for the spiritual aspects of yoga and meditation in the coming years, both locally and internationally.

To those new to yoga and meditation, he offered this advice: Practise, and all is coming to you.

For the hesitant, he encourages starting the journey with an open heart and finding a teacher who resonates with them, and he emphasises the importance of daily choices in cultivating wellness and spiritual connection.

Start Meditating Today is available in bookstores and directly from the author.

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Yoga instructor launches book on meditation - TT Newsday

In todays age, you can't do much without interfacing with artificial intelligence and machine learning (AI/ML). This technology lets you unlock your phone via face recognition, helps curate your social media feed and powers internet search. In the future, it promises to automate tasks as mundane as driving a car and as cerebral as scientific outreach. Its clear transformative capability has captured our collective attention, sparking dialogue across scientific communities, governments and the general public, alike. But long before ChatGPT or DALL-E, the basic statistical principles that underpin the world's most sophisticated ML tools were hard at work in the field of high-energy collider physics. Today, they are enabling unprecedented progress in understanding the nature of our fundamental universe.

High-energy physics (HEP) can trace its relationship with ML back many decades, with the earliest neural networks coming into play in the 1990s. ML algorithms improved Higgs-boson searches at CERNs LEP collider, powered CP-violation measurements at the B factories at KEK and SLAC, and enabled the observation of single top-quark production at Fermilab's Tevatron collider. They were also key for the discovery and study of the Higgs boson as well as the observation of the ultra rare two-muon decay of the Bs meson at the LHC.

But it wasn't until the 2010s that modern computational power and methodological innovation enabled deep learning, and let AI-based research methods like ML really shine. In many ways, the relationship between particle physics and ML is a natural and symbiotic one. High energy particle collisions offer a means to study fundamental interactions under conditions similar to the early universe, allowing a window into potential particles or processes that are frozen out in the current universe. In this way, finding optimal and intelligent ways to sift through the trove of data from experiments at CERNs Large Hadron Collider (LHC) is crucial, as it enables researchers to precisely characterise the Standard Model (SM) and understand mysteries like dark matter and matter-antimatter asymmetry that motivate new physics beyond the Standard Model (BSM).

Collider-based experiments led to some of the original big data problems. Experiments like ATLAS at the LHC operate with staggering data rates, producing over 60 terabytes per second, yet only some of these proton collision events may contain processes of interest. What's more, these experiments offer a dataset that is unique in its complexity and statistical power, in which new ML architectures or problems such as systematic biases or hardware optimization can be studied.

The task of operating the ATLAS experiment and extracting results from its vast datasets is a computational labyrinth. From its inception in the 1990s, the ATLAS experiment was designed to process every proton collision digitally. Within seconds of a collision the data from millions of sensors have been filtered through a web of custom electronics and analysed on a computing farm with tens of thousands of CPUs. Collisions of interest are recorded and reanalysed countless times by physicists looking to better understand the nature of the universe. In all cases the goal of this analysis is to discover precisely what happened at the interaction point, where two protons travelling at 99.999999% the speed of light collide in the accelerator, producing a plethora of new particles.

Unfortunately, the physics at the interaction point can be elusive. Many of the most interesting SM or BSM particles produced in the proton collision will decay in less than one trillionth of one trillionth of a second! Physicists can only pick up on hints of SM or BSM physics by looking for the decay products of the most interesting particles, which may themselves decay before reaching any sensors in ATLAS. From a single collision the ATLAS experiment may record thousands of individual particles, and to make matters worse, it typically has to deal with dozens of simultaneous collisions. To understand what happened at the interaction point, physicists must carefully reconstruct, identify and measure each of these particles. These are then used to reconstruct the entire collision event, which are scoured for processes of interest that may lead to a better understanding of known particles, or shed light on the existence of never-before-observed ones.

ML methods are designed to harness large amounts of data in order to infer new information, making them naturally suited to various data processing tasks in ATLAS, from the moment a particle hits the detector all the way to the final published results. The examples that follow give a representative idea of how extensively this technology has pervaded the experiment, but merely scratch the surface of the full picture and potential of ML in HEP.

During regular operation of the ATLAS experiment, the first challenge is what to do with the data that is created. With multiple subsystems, an LHC frequency of 40 million collisions per second and millions of individual channels of data to read out, the ATLAS experiment produces a data rate far greater than can possibly be written to disk. A complex trigger system implements algorithms that rapidly evaluate incoming data events to determine if they are interesting enough to keep, rejecting the overwhelming majority of events produced.

This task requires sophisticated inference that can be done very quickly, introducing the use of fast ML to accelerate ML algorithms traditionally run in software for use in hardware such as field-programmable gate arrays (FPGAs). This process allows for greater intelligence closer to the source of the data, leading to more accurate reconstruction and better trigger decisions. For example, the energy and timing of signals in the ATLAS electromagnetic calorimeter subsystem can now be estimated by convolutional and recurrent ML architectures in real time of LHC operation, outperforming existing signal filters (Figure 1). This capability of ML to perform fast and accurate regression of key physical quantities can also be used for more accurate calibrations of detector signals.

AI/ML also comes into play in the reconstruction algorithms that turn detector signals into physics objects. Well before ATLAS recorded its first data, physicists had developed hundreds of algorithms to reconstruct specific particle types based on the signatures they leave in the different ATLAS sub-detectors. Some particles, like b-hadrons, will decay before reaching any of the ATLAS sub-detectors, and are discerned by triangulating the trajectories of the decay products back to a displaced vertex that is separated from the proton collision point by just a few millimetres. ML has proved essential in identifying this distinctive signature. The latest tools to identify b-hadrons in the detector make use of cutting-edge architectures, such as transformers with attention mechanisms that carefully study simulated b-hadron decays and learn to reject vertices from regular light quark processes at the best rate achieved in ATLAS to date. Transformers have also been used to learn the complex signature of a particle decaying to two b-hadrons when the decay is collimated and the b-hadron tracks are overlapping.

Once the data have been recorded and the events are reconstructed, it's time to study the underlying physics mechanism that produced the event. ATLAS physics analyses are predicated on effective solutions to classic signal-to-noise problems. Many processes of interest are incredibly rare and can be challenging to distinguish among the billions of ordinary proton collisions. Here is where ML can shine: its broad ability to exploit subtle features within a complex and high-statistics dataset make it a primary workhorse for isolating interesting signal processes.

No particle has held more interest in the past decade than the Higgs boson, discovered in 2012 by the ATLAS and CMS experiments and met with great fanfare and excitement. Understanding and characterising the Higgs boson and the underlying mechanism of mass generation remains an essential goal of high-energy physics today, and ML is in use throughout Higgs-boson analyses. The 2018 observation of the Higgs boson in its most common, but trickiest, decay channel, Hbb, made use of a classic boosted decision tree (BDT) architecture to classify the Higgs-boson signal from the overwhelming background of multijet processes to make observation possible (Figure 2).

ML has also enabled unprecedented study of the top quark, the heaviest known particle and one with a particularly interesting connection to the Higgs boson. In 2023, researchers adapted a graph neural network to model collisions in a geometrical way using the particles produced during the collision and their relationship to one another in the detector space. Training this model to separate the rare four-top-quark-production process from SM backgrounds allowed ATLAS to make its first statistically confident observation of such events, along with a measurement of its production rate and constraints on key possible extensions of the SM.

While these examples of ML to isolate a specific signal demonstrate the depth of its effectiveness, another implementation of ML can reveal its breadth. A growing interest in the LHC community in anomaly detection has led to the proliferation of ML methods that can isolate unusual phenomena from a well-known background model. Such an approach lowers the need to rely on a specific signal model, making these search techniques very broad and sensitive to new physics that may have been missed by previous analysis approaches. In recent years, ATLAS published its first use cases of anomaly detection, implemented via ML algorithms without complete labelling information of training inputs, all in the context of searches for new heavy particles decaying to two-object final states (Figure 3). These analyses leveraged the power of data-driven ML training through a mix of conventional and novel architectures to perform model-independent searches for new particles with a variety of mass and decay hypotheses, providing an invaluable new approach for extracting the most from the ATLAS dataset.

Despite these successes, there's no such thing as a flawless solution. While ML can offer incredible benefits to ATLAS throughout all stages of the analysis chain, its usage has to be closely coupled with continuous monitoring. Models can inherit unintended biases in the course of training, leading it to make spurious or, even worse, incorrect inferences. The risk of such biases is so significant that it has spawned a broader subfield of AI alignment and safety, and must be carefully considered when applying ML tools to produce physics results.

Luckily there are many ways ATLAS physicists can tackle this challenge. One potential source of such bias emerges from the use of simulated collision events to develop ML tools. While physicists have invested decades into generating accurate and fast simulations, there are still some known ways in which their predictive capabilities can break down. Furthermore, the development of a tool using a particular selection of data with limited statistical power can often require the intentional decorrelation of the model's learned conclusions from certain sensitive properties that should not be considered. To address these issues, physicists make use of dedicated de-biasing or decorrelation techniques from the HEP-ML research community, such as moment decomposition or distance correlation. The limitations of statistical power in simulation samples used for training can also be mitigated through the use of fast simulation methods, which use ML to circumvent the costly full Monte Carlo simulation chain by making fast estimations of key collision and detector properties.

On top of it all, developing, training and running these advanced algorithms takes a staggering amount of power. To run and adequately cool the mainframes and supercomputers of the CERN Data Centre takes about 37 gigawatt-hours per year, about 3% of CERN's total annual electrical consumption when the LHC operates. While this computing covers all CERN operations, including many applications beyond AI/ML development, producing this quantity of electricity has a significant carbon footprint. The growing role of AI/ML, combined with the uptake of larger and larger models, means that associated power consumption will likely increase as well; for context, Open AIs ChatGPT uses half a gigawatt-hour daily! Greener approaches are being investigated to continue these operations at CERN in an increasingly climate-focused society. Through dedicated sustainability initiatives, CERN is working with experts across areas of research to find environmentally friendly data management solutions and greener ways to run collider experiments.

With this striking history of success, and expectations for computational power to continue its tremendous rise, the future of ML in high-energy physics is bright. ATLAS researchers are collaborative by nature, and much of the work described here wouldn't be possible without close ties to the computer science and AI/ML research communities. Maintaining and expanding these relationships means that physics experimentation will continue to benefit from the latest and greatest in ML algorithms and software capabilities. A recent push across CERN to provide more "open data" recorded by the experiments will further engage researchers outside of HEP who can benefit from the uniquely complex and high-statistics LHC datasets to design and optimise their tools.

Beyond the horizons of ATLAS, AI/ML techniques are similarly impacting the broader landscape in physics. Within theoretical physics, ML offers the promise of dramatically reducing computation cost/time of challenging calculations and simulations, among other things. Further, ML is being studied to perform comprehensive optimizations of future detector designs, which comes at an exciting time for the strategic planning of next-generation colliders.

The long-term future of AI will have an impact on our world that is exciting, transformative and yet unimaginable and things are no different for particle physics. Through continued collaboration and thoughtful planning for the potential ethical and environmental consequences, researchers can properly harness AI/ML to usher in a new era of precision understanding (and potentially groundbreaking discoveries) in particle physics.

The author would like to thank Katarina Anthony, Dan Guest, Andreas Hoecker, Walter Hopkins, Michael Kagan, Zach Marshall, Benjamin Nachman, and Manuella Vincter for their input and feedback.

Julia Gonski is a Panofsky Fellow (associate staff scientist) working on the energy frontier at SLAC National Accelerator Laboratory. Her research focuses on novel approaches to searching for beyond the Standard Model physics with the ATLAS experiment, particularly incorporating machine learning (ML) and anomaly detection. She also works on fast ML for electronics in advanced trigger and readout systems, and planning for next-generation global collider facilities.

Link:

Learning by machines, for machines: Artificial Intelligence in the world's largest particle detector - ATLAS Experiment at CERN

Insider Brief

Researchers from Responsible Technology Institute (RTI) at the University of Oxford, in collaboration with Ernst & Young (EY), report that quantum technology researchers and entrepreneurs are facing a high-wire act balancingthe ethical dimensions of quantum computing.

The team released a white paper Towards Responsible Quantum Computing that they hope provides a roadmap for ensuring the responsible development of quantum technologies.

The white paper emphasizes the need for a balanced approach to quantum computing, focusing on both its potential benefits and associated risks. The researchers found that a central need is to communicate about the capabilities and timelines of quantum technologies realistically and urge stakeholders to avoid the hype that often surrounds emerging technologies.

This measured approach can help set appropriate expectations for both the public and policymakers.

The report highlights several critical areas:

Responsible Communication: As mentioned, theres a pressing need for clear and accurate communication regarding the potential and limitations of quantum computing. Overhyping can lead to unrealistic expectations, while underplaying its risks can result in insufficient preparation for future challenges.

The team writes: Although largely (22 of 38, 57.9%) agreeing or strongly agreeing that it may be useful to generate some excitement in society and communities about novel technologies, most respondents (84%) believed that claims made around such technologies were very often overblown or exaggerated in popular discourse. This suggests that counteracting hype around such promises and engaging in responsible science communication may be a key element to consider amongst the expert community, with right-sizing expectations being more critical than generating enthusiasm.

Collaborative Innovation: The paper stresses the importance of collaboration across different industries, sectors and disciplines. No single entity, whether public or private, can drive quantum innovation alone. Such collaboration is seen as essential for building trust and ensuring balanced development.

Broader Risk Landscape: While much attention has been given to the cryptographic risks posed by quantum computing, the paper points out that this focus can overshadow other significant risks. One such risk is the potential for quantum technologies to exacerbate digital divides between nations, potentially leading to greater inequality.

Transformative Potential: Quantum computing has the power to dramatically alter various aspects of business and society. However, the exact nature of these changes depends on the steps taken today by those within the quantum ecosystem.

The white paper offers several recommendations aimed at fostering a responsible quantum future:

Manage Expectations: Its crucial to manage expectations regarding the timelines for achieving scalable quantum computing. This includes recognizing the ongoing engineering challenges and the uncertainty surrounding potential applications and their ethical implications.

Equitable Access: There should be a focus on ensuring equitable access to quantum computing resources, infrastructure and talent. This is seen as vital for fostering global collaboration and innovation.

The team writes: As a global society, the world faces many collective grand challenges on climate change, dwindling resources, and the need for new materials, amongst others. As such, it may be in the best interests of humanity and the environment to enable more equity of access to quantum talent and technology, given that quantum technologies stand to be a substantial differentiator in tackling some of these challenges.

Competitive Nature: In an issue ultimately related to access, the team writes that competitive dynamics of the quantum field need to be addressed to prevent capacity issues and digital divides both within and between nations. A more nuanced approach to competition can help mitigate these risks.

Government Role: Governments have a key role in absorbing risk, building markets, shaping governance, and leveling the playing field. Their involvement is crucial for the responsible development of quantum technologies.

The researchers list a number of governmental roles for the development of quantum computing, among other emerging technologies. These roles include providing governance frameworks, offering both direct and indirect funding, and creating commercial opportunities. Additionally, governments can shape the political ecosystem, act as early customers, and prioritize national or regional initiatives. They can also set up tax incentives, create infrastructural support, and support long-term risks. Furthermore, governments influence educational programs and build cross-departmental understandings to foster technological advances.

Long-term Perspective: Developing quantum technology should be viewed as a long-term endeavor, akin to a marathon rather than a sprint. Treating it as a race could hinder overall progress and lead to suboptimal outcomes.

But Act Now: The paper advocates for collective action by stakeholders from different sectors and disciplines. This collaboration is necessary to lay the groundwork for a responsible quantum future grounded in human-centered values. According to Mira Pijselman, Digital Ethics Lead at EY, and colleagues, the time to act is now.

The insights in the white paper are drawn from an expert survey conducted in 2023, the team reports. This survey included input from technologists, researchers, and policymakers from both academia and industry. The survey employed a mixed-methods approach, combining quantitative and qualitative questions to leverage participants expert knowledge. A Likert scale gauged responses to statements such as The government should be involved in funding the development of new technologies, with participants also invited to provide additional comments.

The researchers enriched the quantitative data with deeper insights. The survey received 38 expert responses, with 14 from industry, 19 from academia, and 5 from other sectors, and over 84% of respondents answered every question.

This is a summary of the key points according to the author but the white paper adds considerable depth to this important conversation. Please see the paper here for a deeper dive.

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Balanced Communication, Better Collaborations Needed to Ethically Navigate Quantum's Transformative Potential - The Quantum Insider

PALO ALTO, Calif., May 28, 2024 D-Wave Quantum Inc., a leader in quantum computing systems, software, and services and the worlds first commercial supplier of quantum computers, today announced it is set to join the broad-market Russell 3000 Index at the conclusion of the 2024 Russell US Indexes annual Reconstitution, effective at the open of US equity markets on Monday, July 1st, 2024, according to a preliminary list of additions posted on Friday, May 24th, 2024.

The annual Russell US Indexes Reconstitution captures the 4000 largest US stocks as of Tuesday, April 30th, 2024, ranking them by total market capitalization. Membership in the US all-cap Russell 3000 Index, which remains in place for one year, means automatic inclusion in the large-cap Russell 1000 Index or small-cap Russell 2000 Index as well as the appropriate growth and value style indexes. FTSE Russell, a prominent global index provider, determines membership for its Russell indexes primarily by objective, market-capitalization rankings, and style attributes.

Its an honor for D-Wave to join the Russell 3000 Index, an important benchmark for the US stock market, said Dr. Alan Baratz, CEO of D-Wave. This recognition reflects D-Waves leadership in ushering in the era of commercial quantum computing and will greatly increase visibility among the global investor community for the innovative quantum solutions were bringing to market.

Russell indexes are widely used by investment managers and institutional investors for index funds and as benchmarks for active investment strategies. According to the data as of the end of December 2023, about $10.5 trillion in assets are benchmarked against the Russell US indexes, which belong to FTSE Russell.

Russell indexesnow in their 40th yearcontinue to evolve to reflect the dynamic US economy. Annual rebalancing plays a vital role in establishing accurate benchmarks, ensuring they correctly mirror their designated market segments and remain unbiased in terms of size and style, said Fiona Bassett, CEO of FTSE Russell, an LSEG Business.

For more information on the Russell 3000 Index and the Russell indexes Reconstitution, go to the Russell Reconstitution section on the FTSE Russell website.

About D-Wave Quantum Inc.

D-Wave is a leader in the development and delivery of quantum computing systems, software, and services, and is the worlds first commercial supplier of quantum computersand the only company building both annealing quantum computers and gate-model quantum computers. Our mission is to unlock the power of quantum computing today to benefit business and society. We do this by delivering customer value with practical quantum applications for problems as diverse as logistics, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Waves technology has been used by some of the worlds most advanced organizations including Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jlich, University of Southern California, and Los Alamos National Laboratory.

Source: D-Wave

See the original post here:

D-Wave Quantum Set to Join Russell 3000 Index - HPCwire

[Editors note: How Quantum Computing Is Already Changing the World was previously published in December 2022. It has since been updated to include the most relevant information available.]

Im a history junkie. So, in this special Sunday issue of Hypergrowth Investing, let me share an interesting story that I bet a lot of you have never heard before.

And interestingly enough, it could be the key to helping you capitalize on the AI Revolution.

Back in October of 1927, the worlds leading scientists descended upon Brussels for the fifthSolvay Conference an exclusive, invite-only conference that is dedicated to discussing and solving the outstanding preeminent open problems in physics and chemistry.

In attendance were scientists that, today, we praise as the brightest minds in the history of mankind.

Albert Einstein was there; so was Erwin Schrodinger, who devised the famous Schrodingers cat experiment, and Werner Heisenberg, the man behind the world-changing Heisenberg uncertainty principle and Louis de Broglie, Max Born, Niels Bohr, Max Planck.

The list goes on and on. Of the 29 scientists who met in Brussels in October 1927, 17 of them went on to win a Nobel Prize.

These are the minds that collectively created the scientific foundation upon which the modern world is built.

And yet, when they all descended upon Brussels nearly 94 years ago, they got stumped by one concept. Its one that, for nearly a century, has remained the elusive key to unlocking humankinds full potential.

And now, for the first time ever, that concept is turning into a disruptive reality through breakthrough technology that will change the world as we know it.

So what exactly were Einstein, Schrodinger, Heisenberg and the rest of those Nobel laureates talking about in Brussels back in 1927?

Quantum mechanics.

Ill start by saying that the underlying physics of this breakthrough quantum mechanics is highly complex. It would likely require over 500 pages to fully understand.

But, alas, heres my best job at making a Cliffs Notes version in 500 words instead.

For centuries, scientists have developed, tested, and validated the laws of the physical world, known as classical mechanics. These scientifically explain how and why things work, where they come from, so on and so forth.

But in 1897, J.J. Thomson discovered the electron. And he unveiled a new, subatomic world of super-small things that didnt obey the laws of classical mechanics at all. Instead, they obeyed their own set of rules, which have since become known as quantum mechanics.

The rules of quantum mechanics differ from that of classical mechanics in two very weird, almost-magical ways.

First, in classical mechanics, objects are in one place at one time. You are either at the store or at home, not both.

But in quantum mechanics, subatomic particles can theoretically exist in multiple places at once before theyre observed. A single subatomic particle can exist in point A and point B at the same time until we observe it. And at that point, it only exists at either point A or point B.

So, the true location of a subatomic particle is some combination of all its possible positions.

This is calledquantumsuperposition.

Second, in classical mechanics, objects can only work with things that are also real. You cant use an imaginary friend to help move the couch. You need a real friend instead.

But in quantum mechanics, all of those probabilistic states of subatomic particles are not independent. Theyre entangled. That is, if we know something about the probabilistic positioning of one subatomic particle, then we know something about the probabilistic positioning of another subatomic particle meaning that these already super-complex particles can actually work together to create a super-complex ecosystem.

This is called quantum entanglement.

So in short, subatomic particles can theoretically have multiple probabilistic states at once, and all those probabilistic states can work together again, all at once to accomplish their task.

And that, in a nutshell, is the scientific breakthrough that stumped Einstein back in the early 1900s.

It goes against everything classical mechanics had taught us about the world. It goes against common sense. But its true. Its real. And now, for the first time ever, we are learninghow to harness this unique phenomenon to change everything about everything

This is why the U.S. government is pushing forward on developing a National Quantum Internet in southwest Chicago. It understands that this tech could be more revolutionary than the discovery of fire or the invention of the wheel.

I couldnt agree more.

Mark my words. Everything will change over the next few years because of quantum mechanics and some investors will make a lot of money.

The study of quantum theory has led to huge advancements over the past century. Thats especially true over the past decade. Scientists at leading tech companies have started to figure out how to harness the power of quantum mechanics to make a new generation of superquantum computers.And theyre infinitely faster and more powerful than even todays fastest supercomputers.

Again, the physics behind quantum computers is highly complex, but heres my shortened version

Todays computers are built on top of the laws of classical mechanics. That is, they store information on what are calledbits, which can store data binarily as either 1 or 0.

But what if you could turn those classical bits into quantum bits qubits to leverage superpositioning to be both 1 and 0 stores at once?

Further, what if you could leverage entanglement and have all multi-state qubits work together to solve computationally taxing problems?

Theoretically, youd create a machine with so much computational power that it would make todays most advanced supercomputers seem ancient.

Thats exactly whats happening today.

Googlehas built a quantum computer that is about158 million times fasterthan the worlds fastest supercomputer.

Thats not hyperbole. Thats a real number.

Imagine the possibilities if we could broadly create a new set of quantum computers that are 158 million times faster than even todays fastest computers

Imagine what AI could do.

Today, AI is already being used to discover and develop new drugs and automate manual labor tasks like cooking, cleaning, and packaging products. It is already being used to write legal briefs, craft ads, create movie scripts, and more.

And thats with AI built on top of classical computers.

But built upon quantum computers computer that are a 158 million times faster than classical computers AI will be able to donearly everything.

The economic opportunities at the convergence of artificial intelligence and quantum computing are truly endless.

Quantum computing is agame-changerthats flying under the radar.

Its not just another breakthrough its the seismic shift weve been waiting for, rivaling the impact of the internet and the discovery of fire itself.

We think the top stocks at the convergence of AI and QC havea realistic opportunity to soar 1,000%over the next few years alone.

So which stocks should you be buying right now? And which should you be selling?

Those are the billion-dollar questions we need to answer now if we want to make big money from top AI stocks in 2024.

Which is why I went public with all the details aboutArea 52

A stretch of land in the midwest where the U.S. government is covertly testing whats set to becomethe worlds first quadrillion-dollar technology.

In this brief presentation, I reveal the reason this technology is about to revolutionize everything

And how atiny company poised to bring this breakthrough tech mainstream could 79X your investmentin the days and months ahead

On the date of publication, Luke Lango did not have (either directly or indirectly) any positions in the securities mentioned in this article.

Excerpt from:

How Quantum Computing Is Already Changing the World - InvestorPlace

For years he has travelled the country barefoot, from north to south, feeding on alms and sleeping in the forests. A eulogy of religious devotion through the 13 ascetic practices of Dhutanga. Hostilised by official Buddhism, the monk is tolerated by the government and exalted by people of all faiths who follow him on social media.

Hanoi (AsiaNews) - An example against corruption and a testimony of faith and rigour for the entire country, capturing the imagination - and respect - of millions of Vietnamese as the ruling class struggles for power through purges, trials and death sentences.

Recounting the journey on foot of Thich Minh Tue, a humble man, is the Fulcrum website, which praises his devotion to Buddhism through the 13 austere ascetic practices of Dhutanga aimed at reaching the non-self (Anatta).

He is a loner, who on his path has obtained the approval of politicians (and the Communist Party) and who, with his path, constitutes a unique and unprecedented challenge to the State from the perspective of fighting for religious freedom as enshrined in its Constitution.

Thich Minh Tue's strict adherence to Dhutanga includes walking barefoot, feeding himself with alms, seeking shelter in forests, bushes or cemeteries, renouncing all material possessions. His commitment to observing the precepts has inspired Vietnamese from all walks of life, including intellectuals, artists, expatriates, other monks and even Christian priests.

He and his robe, made of scraps of cloth collected during his travels, inspired multiple artistic expressions, including paintings, sculptures, poetry, music and launched a new fashion.

After walking barefoot from south to north - and back - for several years, Thich Minh Tue has only recently become a national phenomenon, thanks to a host of internet users, profiles and social pages on YouTube, Facebook and TikTok that follow and celebrate his walks, broadcasting them live to millions of eager viewers.

Many Vietnamese warmly welcome him at every step, not only for his testimony of faith, but as a social and media phenomenon.

Many aspiring monks or mere onlookers are already looking to him, not least because he has been able to conquer the limelight without the support of any religious entity under State control, an anomaly in the country's political landscape. Moreover, the authorities are very wary of any large-scale spontaneous mobilisation that could undermine social stability and the regime itself.

From the official leadership, both state and religious, there has been no lack of rumours and attacks directed at Thich Minh Tue. His pilgrimages have triggered public debates on how to observe the dictates of the Buddhist religion, which is predominant in Vietnam with 14 million believers, twice as many as the seven million Catholics.

On social media, citizens hail him as an embodiment of genuine spiritual dedication to basic Buddhist values such as simplicity and renunciation. On the contrary, instances of misconduct and materialistic life of some monks are pointed out and some pagodas or official denominations are criticised for being more profit-oriented and functioning with the tacit approval of official sources.

Among the latter is the reaction of the Vietnam Buddhist Sangha (Vbs), the country's official organisation, which is largely negative. Its leadership has attacked Thich Minh Tue claiming that he is not a monk, nor is he affiliated to any institution linked to the Vbs.

This stance triggered a reaction between indignant and hilarious public opinion, while the wandering monk declared that he is a simple citizen who seeks to learn and practise the Buddha's teachings.

The government's Committee for Religious Affairs states that he is not framed within religious institutions, although it does not deny his status as a monk, thus distinguishing him from the Vbs' version.

The story is also a sign of the power of social media in spreading a message to the public, providing an alternative view to the official state narrative. In contrast, the leadership in Hanoi shows a different approach and, without giving in to the impulse to ban or repress, seems to have chosen the path of control, thus giving more space to individual freedoms, starting with religious freedom.

Read more from the original source:
VIETNAM Thich Minh Tue, the Vietnamese Buddhist monk who walks barefoot for faith and (religious) freedom - AsiaNews

Martine Panzica: Could you share some of your own history with Buddhism and how youve come to incorporate the principles of Zen into your life and your climbing?

Francis Sanzaro: I started climbing seriously when I was 13 and discovered Buddhism about two years later. The two of them have been in my life in a serious way for about 30 years now, but I didnt always see the connections between them. It took a long time. In climbing, I paid attention to my body and to what I was doing when Im up there awareness is really crucial.

My earliest and most important takeaway from Buddhism was the best thing you can do is study your mind to really just put the lens back on yourself and figure out whats going on. What are your desires doing to you for better or worse? What are the cycles of unhappiness that youre having? That was my earliest takeaway and I just kind of took it and ran.

It just made sense to me at a fairly early age. I fell in love with the concept of buddhanature in particular. I think I enjoyed the emphasis on landscape and nature I found my corner there. I went on to get a PhD in the philosophy of peligion largely because of that early exposure. I looked at a lot of different traditions including Catholicism and medieval theology, Buddhism, Islam, etc. I really came to enjoy reading about nature and philosophers, things like Nietzsche and Buddhism. Theres a really interesting connection there.

Buddhism made me really curious as to how were creating these religious belief systems and I enjoyed taking them apart, and analyzing them. I was also probably just interested in seeing if I found any other truths for myself there, because theres a lot of good stuff.

From a real selfish perspective, it was just such a great way to spend my time. I was like, My God, I get to spend my twenties getting paid to read books and get out of here. That was just so fun. I was climbing a lot. Grad school and climbing have great compatibility, so it was a really just fun thing to do. I was motivated by knowledge and understanding.

As a climber myself, I often find myself talking to people about the parallels between sport, mindfulness, and meditation. Im curious how you decided to write The Zen of Climbing and what your process was to bring the two together?

If you think about sports psychology and I think Zen Buddhism is very much a kind of a psychology its a way of studying the mind. Its a way of looking at yourself and the structure of your brain.

Throughout my climbing career Zen was really important to me. I started trying to delve deep into sports psychology a little bit, knowing I wanted to write a book that really takes a deep dive at what athletes deal with mentally, because to be quite frank I found the majority of literature out there really unsatisfying. Its often written by academics. Theres nothing wrong with that, but they dont have that in the game experience of what an athletes brain is going through and the real struggles that athletes have. Thing like attachment to outcomes how do you really deal with that as an athlete?

I realized I wanted to bring the two together because I just didnt find any of the ideas that I subscribe to out there in the world. I didnt see them brought together in the way that I was thinking about them. A lot of sports are very much about awareness climbing in particular. You have to be being fully cognizant of all the little ripples going on inside your mind when youre in situations that have a lot of mortal danger and mortal consequence.

I realized I had a lot to write about and best way was to write about my own struggles and what Id seen from being in the sport for a long time. I felt there was something to add in the space. I wanted to help climbers get learn some of these principles that I found to be so beneficial. Its much bigger than just climbing hard routes. Its trying to figure out a way to bring ourselves up to be more awake people in our climbing and in our life.

In The Zen of Climbing, you talk about awareness and attention extending beyond sport and into our lives. What practices or techniques do you find helpful to cultivate that attention and tend to that awareness both in climbing in life?

Theres a funny thing that I think a lot of people do unconsciously, and I would say this applies for life and athletics as well. For example, say youre and athlete and you go to the gym. I think a lot of people go to the gym and think about what workouts they want to do. You have all these physical modalities you want to get into. But we dont think of mental modalities as often. When you participate in a sport you have a certain mindset and most of the time you dont even think about it you just kind of go into the mindset that your body or the situation puts you in. Thats a big mistake, because the way we move our mind around needs to be as sharp and as technical as the way we do our exercises.

I think a strategy thats important is asking: What does this situation require? What kind of mindset do I need to be in? What kind of modality of mind do I need to have in order to complete this task this climb or even a social situation?

I dont mean that we need to be overly analytical. What I mean to say is that we need to not hold on so strongly to our minds natural tendency to go into one thing and not have the freedom to bounce around. In climbing, you have a lot of situations where you have to have good flow. You need to be smooth and relaxed, but then two seconds later you really need to pop into a different mode where its a little aggressive.

Maybe your heart rate goes up while youre doing traditional, or ice, or some more dangerous climbing. You need to be very subtle about your next move because you could break your leg or break your hips and have a big problem. In the span of 20 feet you can have all different kinds of modalities of mind that you need to apply right now. You want your body to do it naturally, but its hard to train your mind to let it do that thing naturally and we get stuck. The basic state of the mind I think is to be free, but we block our own light.

One way to start is to say Okay, where am I at? and What do I think needs to happen here? Just that basic check-in question, which is really common in the meditative traditions, is so helpful. It goes a long way to have some space where youre not so attached to your monkey mind, as they say.

In your book, you talk about about the flow state as being a distraction. Getting into a flow state is talked about so much in literature on sports, meditation, art we promote effortlessness as being the ultimate goal. I found it really interesting that framed it as not as important as we might think.

My main rub here is that it becomes an attachment when youre always trying to optimize your experience for flow state.

Theres nothing wrong with having a climb, or having a moment when youre playing with your kids, or running in the hills and it feels really good and light. Theres nothing wrong with that. The problem comes when individuals start to chase that state. Its a rare state to experience, so chasing it is not a very efficient strategy. Its like grace, as they say in theological traditions: it comes when it wants. I think flow state is like that.

As an athlete, or for any type of performer, you need to get better at performing in the face of adversity not chasing a state of effortlessness. The majority of the time your feet hurt, your skin is crappy, and you get frustrated. That is ninety-seven percent of life. We live in it. If you want to get better, if you want to have a more even, durable performance, youve got to learn to perform well in the face of obstacles. Were trying to create these situations where everything just works out perfectly, but you cant control that. You have to learn how to find the ease and the peace when things are really rough. That goes for life as well as sport, its finding tranquility in the midst of all that.

Climbing is growing as a sport do you had any advice for beginners to climbing or anybody whos interested in entering the space on how to approach it from a mindset point of view?

Ive worked with a lot of climbers and I often find that people think you can force your will through a climb or a route. One of the things that top climbers do so well, and almost intuitively, is that they get their egos out of the way and listen to what a route or hold needs how it needs to be positioned to your body. When you see a beginner, theyre going to try to grab the hold the way they want to, or move the way they want to, and its often not the way to do it. The movement is requiring something different. When you see a really good climber, theyre just kind of moving. Its because theyre adapting. Theyve created these feedback loops in their body where they can grab a hold and immediately sense which way to angle their body. Climbing is really the art of listening.

Its good to take the time to build a nice base of studying what feels uncomfortable and going into those positions having a lot of play with it early on is crucial. I would say doing that at the expense of just trying to climb the climbing grade ladder is really important. Of course, everyone loves to find your first V2 and V3 and thats okay but you need to keep the bigger picture in mind if you want to be a better climber. You have to realize what that route is asking of you, and that takes a long time, but its probably the most important skill.

My second piece of advice is directly tied to meditation. When youre getting on a rope, when youre warming up, or trying something hard, just try to breathe through it. Try to feel the breath go in and out of your throat as youre climbing and make that your main goal. Try to think, Im going get this. Im just going to try to breathe the whole way through it.

Your goal is not to get to the top. Focusing on the breath starts to take away all the distractions and overthinking your next move, because youre handing the keys over to your body. Youd be astonished at the level of intelligence your body has just to do these things by itself. It doesnt need your conscious oversight.

One last thing for beginners is to work on your fears really quickly and try to get on top of them. Figure out how to manage your fears early because if not, they can be a pretty toxic weed that can just grow in the garden. Fear can limit you and cause a lot of frustration a lot of panic as you get better. Not a lot of sports have an innate fear to them like climbing does. Thats an interesting thing in our sport that no other sports have: the fear of falling. Its one of the top fears that people have, and its no wonder climbing is so cathartic and incites such mindfulness. It brings out one of our most basic fears.

Francis Sanzaro

Francis Sanzaro PhD is a climber, academic, speaker, and the author of books on philosophy, climbing, athletic theory and comparative religion. His essays, poetry and fiction have appeared inThe NewYork Times, Outside, Huffington Post,Climbing, Adventure Journal, The Baltimore Post Examiner,Continental Philosophy Review,andVol. 1 Brooklyn, Rock and Ice,among a dozen others. His books include the bestsellerZen of Climbing,The Boulder: APhilosophy for Bouldering; andSociety Elsewhere: Why the Gravest Threat toHumanity Will Come From Within.He appeared at TEDx Ascend in Colorado speaking on approaches to risk and our relationship with the natural world. He is currentlywritingZen of the Wild: A Philosophy for Nature.

Martine Panzica

Martine Panzica is a Digital Editorial Assistant at Lions Roar. She is passionate about the power of storytelling in media, and sustainable development. To learn more about her, visit martinepanzica.com.

Original post:
The Power of Awareness: An Interview with Rock Climber Francis Sanzaro - Lion's Roar

Fitness and wellness startup Portl has raised a $3 million funding round led by Bharat Innovation Fund with participation from existing investor Kalaari Capital and new investor T-Hub Foundation, the company announced on Thursday. Portl said it would deploy the capital to accelerate the companys product development, expand into the market, and improve its AI systems.

Established in March 2021 by Indraneel Gupta, Vishal Chandapeta, and Aramaan Kandhari, Portl offers an interactive fitness screen with a high-resolution multi-touch LCD display that enables real-time form correction and customized workouts apart from on-demand and live workouts.

Speaking on the fundraising, Portls Founder and CEO Indraneel Gupta said, By integrating advanced AI and innovative hardware, we aim to empower individuals to achieve their wellness goals seamlessly and effectively, delivering personalized experiences at scale and afford people the opportunity to adopt healthier lifestyles with ease.

The company uses its proprietary AI personalization engine, which provides users with customized workout plans that adapt to their fitness levels, daily performance and preferences in real-time, the company said.

Despite its drop off from the peaks in 2021, the home fitness segment continues to excite us. Portls advanced AI technology provides form feedback across a variety of personalised fitness regimes, including Yoga, HIIT, Dance etc, said Ashwin Raguraman, Founding Partner, Bharat Innovation Fund.

India s health and fitness market is expected to grow from $19.24 million in 2022 to $31.97 million by 2027, at an annual growth rate of 11.57 per cent, as per data from statistics portal Statista.

Vamshi Reddy, Partner at Kalaari Capital, said, We are delighted to announce our involvement in Portls transformative journey, as they harness the power of AI and strength products to enhance their offerings. With their innovative approach and commitment to excellence, we believe Portl is ideally positioned to become a trailblazer and market leader in this exciting and rapidly evolving space.

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Link:
Fitness startup Portl raises $3 million from Bharat Innovation Fund, Kalaari Capital, T-Hub Foundation - The Financial Express