Heading into this year, I was passionate about getting a very important message in front of investors.

It was my thesis that the next decade would not only be the most innovative in history, but that the stock market would experience its largest gains ever.

The start of 2020 as brutal as it has been reminds me of 1990. Stocks had already been in a bull market for eight years when the ball dropped on 1989 and ushered in the new decade. Most experts believed the bull market was over and that the 1990s would be a lost decade.

Boy, were they wrong.

The 1990s went on to become one of the greatest decades for stocks. Little technology companies youd never heard of became household names. Dell Computer now Dell Technologies (NYSE:DELL) gained over 91,000% during the 1990s. The biggest gains of the decade were driven by a plethora of new technologies centered around the internet and personal computing.

Today, we are now three months into the 2020s and stocks are in a similar situation. We entered the decade on the back of a 10-year bull market, only to slide quickly into a bear market.

Most people dont realize this, but the Dow did something similar in 1990. It fell by 19.5% essentially a bear market to start the decade before powering higher. I believe we will look back at the current sell-off and see it as the last great buying opportunity before a booming decade.

The selling is creating buying opportunities in investment trends that wont slow due to the pandemic. In fact, they could even accelerate due to the changing global landscape. Lets take a look at a few

Robotics:According to the editorial board atScience Robotics, robots could be an alternative to humans when it comes to certain healthcare tasks. Especially during a pandemic. Robots could collect lab results, automate lab tests, and help disinfect the patient rooms. In China, it was deemed too dangerous for humans to make critical deliveries of medicine and food into infected areas, so the country turned to robots.

Genomics:The future of healthcare will be based on advances in both technology and medicine. The latter will rely on the field of genomics. In the coming decade, it will be the norm to have your genome sequenced. This information will help create personalized medicine for each patient, as well as help speed up the creation of new drugs.

The response to the coronavirus is a great example of how medicine is evolving. In 10 years, this type of pandemic would not be an issue. The combination of artificial intelligence (AI), quantum computing, and genomics would create a vaccine within days.

Tele-everything:The biggest change to our lives throughout this ordeal has been the self-isolation. Either through a government mandate or by choice, most people around the globe are staying inside and not going about their normal activities. This has led to a work-from-home, school-from-home, and even workout-from-home situation.

The companies behind this trend are here to stay. When the pandemic is over, people will go back to work, school, and their local fitness facilities. But the tele-everything trend is not going away. In some circumstances, it is more convenient than what we were accustomed to. Everything from software companies to one of my favorite stocks,Teladoc (NYSE:TDOC), to online education will be pushed to grow faster and quicker after the pandemic.

Even though a lot of the stocks in these trends have been beaten down in the last month, the trends themselves are not dead. Nothing I mean nothing in life goes straight up. When it comes to the stock market, the strongest trends will hit speed bumps but those bumps offer investors opportunities.

Let me be straight with you. If you want to be wealthy, you must buy into high-growth, long-term trends. And to make the BIG money you need to buy when everyone else is selling.

That day is today.

Matthew McCall left Wall Street to actually help investors by getting them into the worlds biggest, most revolutionary trends BEFORE anyone else. The power of being first gave Matts readers the chance to bank +2,438% in Stamps.com (STMP), +1,523% in Ulta Beauty (ULTA) and +1,044% in Tesla (TSLA), just to name a few. Click here to see what Matt has up his sleeve now. Matt does not directly own the aforementioned securities.

Link:

3 High-Growth Trends to Invest In Now - Investorplace.com

Design engineers' jobs are starting to look a lot different than just a decade ago.

Most of us likely engage in mechanical engineering design on a daily basis, but whats the future for this crucial field?

Since the invention of CAD software, mechanical design has been revolutionized to its core. However, there are quite a lot of things about the process that are rather rudimentary. We still have to manually input constraints for parts that may seem obvious.

We can still make one minor mistake that can corrupt our whole model. Software is becoming smarter and smarter, but for the most part, the mechanical engineer is still where the innovation and the skill lies. What happens though, when programs become generative; when the mechanical engineers office dissolves and design moves into the future? Lets take a deeper look. (Dont worry, youre still going to have a job.)

CAD programs, the foundation of mechanical design, were largely pushed forward by innovative code and programming. That has done wonders for the programs abilities, but it also means that CAD has evolved into a largely keyboard-oriented skill. Given that this is commonplace, you may not find anything odd about this fact.

What keyboard-based mechanical design does, however, is limit the designer to technical ability and knowledge of the specific software. There will always be a place for this, but computers will soon be able to allow freeform mechanical design within the confines of reality. This means that while, as engineers, we may be smart enough to input design constraints, we simply wont have to. It opens up the age for pure engineering.

The echoing of this future reality has already been occurring. The age of touch screen computers has brought more natural mechanical design interface. Moving forward, it will likely be virtual reality and quantum computing that brings mechanical design into its ultimate realization for the engineer.

RELATED: TOP 3 JOBS FOR THE HIGHEST MECHANICAL ENGINEERING SALARY

When you think about mechanical design as more of a skilled work form given the tools coming in the future, mechanical engineers may soon have more options of where and how we work. We wont be restricted to cubicles, rather we can be technical artists designing in virtual spaces or even on the job site imagine that.

Any engineer actively engaged in any technical field today feasibly understands how significant simulation has become in the modern design process. This stretches twofold, from simulations improved capability to provide us with practically useful data and its increased use in the design process. Fully appreciating this modern design tool change requires that we look deeper into the state of simulation integrated CAD.

Diving deeper into simulation in the modern design process grants us a better look at what might be to come for our daily life as engineers.

Simulations in terms of computer models like FEA in relation to CAE is a fairly new capability. Simulation simply defined as the use of predictive or practical models to prepare and access future designs dates back a little further. We can trace the desire for simulation essentially back to the beginning of engineering, but its modern usage began during the world wars and the space age. More refined simulation models were used in the Manhattan Project to model nuclear explosions and the design of the rockets used in the early space missions. Of course, all of this simulation was done on paper and involved discrete mathematics, Navier-Stokes equations, and finite element analysis, among many other formulas.

Diverging from the mathematical roots of simulation, physical simulation was also used in the design process of the Apollo landing capsules. Astronauts alongside engineers were used to test processes for launch, landing, and usage of all of the Apollo hardware. These simplistic hardware simulations are the early beginnings of simulation tools that allow for usagecases and event analysis. During the height of the space age, Simula-67, the first simulation-centric programming language was developed which lead the way for modern computer simulation software.

Since these early days where the mathematics of simulation was refined, simulation solidified into a vital tool for engineers.

In the last several years, simulation has been ingrained into our CAE tools, like our mechanical design software. Beyond simple case analysis capabilities, simulation in many senses now comes before design. This shifted workflow comes in the form of generative design tools and simulations use as a design aid. Rather than designing a part and then testing whether it will work, CAD-integrated simulation software like Nastran and Inventors shape generator tools allow for simulation before or alongside design. Generative design allows for simulation to create a design whereas analysis tools allow for testing of part design every step of the way.

The increasing utilization of simulation in modern part design is only natural, in fact, its primal to our drive as engineers. We innately seek to improve, innovate, optimize, and otherwise endeavor to design the best part/assembly/machine possible. Simulation tools and the development therein leverage themselves on our innate desire toknow.

Even with the current state of CAD integrated simulation tools, there are still hurdles to overcome and improvements to be made. The NAFEMS World Congress, theInternational Association for the Engineering Modelling, Analysis, and Simulation Community,recently recognizedmany areas needing improvement in simulation tools in their 2017 assembly. They cited the most prolific problems of current simulation tools reuse of knowledge, speed and model fidelity, and pre-design simulation. In other words, the ways that NAFEMS believes simulation tools need to improve are their abilities to capture and reapply learned knowledge from past analysis, the speed and fidelity of models (which will naturally improve with cloud implementation/increased processing power) and the ability for simulation to be usedbeforethe design process.

So, while the modern usage of simulation tools alongside CAD has improved and grown to a point that has far exceeded manys expectations, theres a long way to go before it is perfect. This means good things for us as engineers. If we want more abilities to simulate, chances are they are coming with improved technical infrastructure. Cloud implementation is so vital to the adoption of simulation because simulation by nature requires significant processing power. Cloud offsets this burden from the engineer to the cloud data center, making expansive simulation analysis possible for anyone, anywhere.

The future of simulation is now, but the innovation wont be over anytime soon.

Ultimately, the goal of advancing mechanical design is to replace the restricting confines of computer interface and let then engineer create in a pure form.

Diverging from the mechanical design interface, the industries that are most in need of mechanical design in the coming future are those like automotive and manufacturing. However, theres is a new budding industry that will require the skills of the best mechanical designers AI design. Artificially intelligent programs and machines will soon be doing a large part of the design of the future. First, they have to learn and be complemented by actual mechanical design engineers.

RELATED: CONCEPTS MECHANICAL ENGINEERS NEED TO UNDERSTAND

Dont worry about losing your job to robots just yet. The specific tasks of a design engineer will only transform with AI, not be eliminated. What AI and ultimately, generative design, will do to mechanical design is revolutionize just what is possible in our industry. The future is bright for the mechanical designer.

Read more:

What Lies In the Future of Mechanical Design Industry - Interesting Engineering

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To most of us, Elon Musk is the real-life embodiment of Tony Stark. He started from nothing more or less and now is a leader in some aspects of the tech world. He started small, with an archive of newspapers and magazines, and in no time he was in Space. Space X that is.

Now, Elon has decided to notably withdraw from operating Tesla and SpaceX, and move to the next big chapter in his life: Quantum Computing, a venture that has seen investments over 2 billion dollars in just the prior to these years.

So what is quantum computing? In a nutshell, if you network all the PCs on the planet right now, and put them to work, the resulting power would not be sufficient to run the complex calculation that a quantum computer can permutate.

Elon never announced his move on Twitter, and that made us wonder. He left SpaceX and Tesla for this? It must be a scam! And it was. One that wants data and personal info.

On top of that if some untrusted sources are to be believed, the project is LIVE right now,beating companies like Microsoft and IBM to the punchand delivering QuantumAI. Or how Elon puts it: A new way to redistributing the worlds wealth.

The scammers strongly believe that the 1% that controls 90% of the worlds financial capital can share and help normal people to grow in wealth by using quantum computing. This theory has been thrown around even in the times ofMoore, and it now seems to be a reality for everybody on Earth.

This time the greedy scammers have raised the bar. The scam group used real footage of Elon Musk talking about his companies, but they overimposed another audio, making sure to turn people to the fake QuantumAI investment platform and automated trading app.

The group responsible for masterminding this charade are part of a bigger affiliate network, and they specialize in social media advertising like Facebook and Twitter. These networks are operating in cooperation with rogue offshore brokers who are paying referral money for investing clients. You are the investing client in this case!

And the rabbit hole goes deeper. When you sign in, you are signed up for your broker, in this case, Crypto Kartal owned by Elmond Enterprise Ltd. A company that is located in St. Vincent and the Grenadines as well as an office in Estonia where it is named Fukazawa Partnership OU. The QuantumAI scam is particularly shoddy because it practices an aggregate of two highly effective baiting systems: social media and video manipulation. And Facebook and Twitter are disseminating the message right now in some regions.

According to the scam, this iteration of QuantumAI hopes to make people 2 3 times wealthier, and no one, except the super-wealthy, will take a hit.

How do they do that? Well, the process is simpler than you can imagine. The wealthy keep their investments in bonds and stocks that they trade for a profit on the open market.

Here is the part where QuantumAI makes a power move that can affect the super-rich. The scam promises to beat Wall Street traders to the market, making winning trades before the brokers can react or intercept transactions. And with a quantum computer, you can do that! Well, as long as you have a working quantum computer that is!

Sounds super interesting right? But its a scam! All you need to do is do a Google back search of the pictures on the website and maybe, try to find out if the brokers invested in this enterprise had any scam or alerts in the past. Doubt anything, back search anything before you input any of your data, and on top of it all NEVER use your main email and password. Its safer to use a program or create a new one, just to be safe.

Be careful in these times. The Quantum AI Scam software, app, and fraudulent crypto trading platform by Elon Musk is completely blacklisted. But Facebook runs the adds with no remorse, the scammers switching between fake Guardian or CNN articles. So be aware!

See the article here:

1000 Words or So About The New QuantumAI Scam - TechTheLead

Yet that difference between the common things a company can sell and the uncommon things they quietly develop is profoundly important. In Devs, the friendly exterior of Amaya with its enormous statue of a childa literal monument to Forests lost daughteris a public face to the actual profound work his Devs team is doing in a separate, highly secretive facility. Seemingly based in part on mysterious research and development wings of tech giantsthink Googles moonshot organizations at X Development and DeepMindDevs is using quantum computing to change the world, all while keeping Forests Zen ambition as its shield.

I think it helps, actually, Garland says about Forest not being a genius. Because I think what happens is that these [CEO] guys present as a kind of front between what the company is doing and the rest of the world, including the kind of inspection that the rest of the world might want on the company if they knew what the company was doing. So our belief and enthusiasm in the leader stops us from looking too hard at what the people behind-the-scenes are doing. And from my point of view thats quite common.

A lifelong man of words, Garland describes himself as a writer with a laymans interest in science. Yet its fair to say he studies almost obsessively whatever field of science hes writing about, which now pertains to quantum computing. A still largely unexplored frontier in the tech world, quantum computing is the use of technology to apply quantum-mechanical phenomena to data a traditional computer could never process. Its still so unknown that Google AI and NASA published a paper only six months ago in which they claimed to have achieved quantum supremacy (the creation of a quantum device that can actually solve problems a classical computer cannot).

Whereas binary computers work with gates that are either a one or a zero, a quantum qubit [a basic unit of measurement] can deal with a one and a zero concurrently, and all points in between, says Garland. So you get a staggering amount of exponential power as you start to run those qubits in tandem with each other. What the filmmaker is especially fascinated by is using a quantum system to model another quantum system. That is to say using a quantum computer with true supremacy to solve other theoretical problems in quantum physics. If we use a binary way of doing that, youre essentially using a filing system to model something that is emphatically not binary.

So in Devs, quantum computing is a gateway into a hell of a trippy concept: a quantum computer so powerful that it can analyze the theoretical data of everything that has or will occur. In essence, Forest and his team are creating a time machine that can project through a probabilistic system how events happened in the past, will happen in the future, and are happening right now. It thus acts as an omnipotent surveillance system far beyond any neocons dreams.

Read this article:

Devs: Alex Garland on Tech Company Cults, Quantum Computing, and Determinism - Den of Geek UK

In the Budget 2020 speech, Finance Minister Nirmala Sitharaman made a welcome announcement for Indian science over the next five years she proposed spending 8,000 crore (~ $1.2 billion) on a National Mission on Quantum Technologies and Applications. This promises to catapult India into the midst of the second quantum revolution, a major scientific effort that is being pursued by the United States, Europe, China and others. In this article we describe the scientific seeds of this mission, the promise of quantum technology and some critical constraints on its success that can be lifted with some imagination on the part of Indian scientific institutions and, crucially, some strategic support from Indian industry and philanthropy.

Quantum mechanics was developed in the early 20th century to describe nature in the small at the scale of atoms and elementary particles. For over a century it has provided the foundations of our understanding of the physical world, including the interaction of light and matter, and led to ubiquitous inventions such as lasers and semiconductor transistors. Despite a century of research, the quantum world still remains mysterious and far removed from our experiences based on everyday life. A second revolution is currently under way with the goal of putting our growing understanding of these mysteries to use by actually controlling nature and harnessing the benefits of the weird and wondrous properties of quantum mechanics. One of the most striking of these is the tremendous computing power of quantum computers, whose actual experimental realisation is one of the great challenges of our times. The announcement by Google, in October 2019, where they claimed to have demonstrated the so-called quantum supremacy, is one of the first steps towards this goal.

Besides computing, exploring the quantum world promises other dramatic applications including the creation of novel materials, enhanced metrology, secure communication, to name just a few. Some of these are already around the corner. For example, China recently demonstrated secure quantum communication links between terrestrial stations and satellites. And computer scientists are working towards deploying schemes for post-quantum cryptography clever schemes by which existing computers can keep communication secure even against quantum computers of the future. Beyond these applications, some of the deepest foundational questions in physics and computer science are being driven by quantum information science. This includes subjects such as quantum gravity and black holes.

Pursuing these challenges will require an unprecedented collaboration between physicists (both experimentalists and theorists), computer scientists, material scientists and engineers. On the experimental front, the challenge lies in harnessing the weird and wonderful properties of quantum superposition and entanglement in a highly controlled manner by building a system composed of carefully designed building blocks called quantum bits or qubits. These qubits tend to be very fragile and lose their quantumness if not controlled properly, and a careful choice of materials, design and engineering is required to get them to work. On the theoretical front lies the challenge of creating the algorithms and applications for quantum computers. These projects will also place new demands on classical control hardware as well as software platforms.

Globally, research in this area is about two decades old, but in India, serious experimental work has been under way for only about five years, and in a handful of locations. What are the constraints on Indian progress in this field? So far we have been plagued by a lack of sufficient resources, high quality manpower, timeliness and flexibility. The new announcement in the Budget would greatly help fix the resource problem but high quality manpower is in global demand. In a fast moving field like this, timeliness is everything delayed funding by even one year is an enormous hit.

A previous programme called Quantum Enabled Science and Technology has just been fully rolled out, more than two years after the call for proposals. Nevertheless, one has to laud the governments announcement of this new mission on a massive scale and on a par with similar programmes announced recently by the United States and Europe. This is indeed unprecedented, and for the most part it is now up to the government, its partner institutions and the scientific community to work out details of the mission and roll it out quickly.

But there are some limits that come from how the government must do business with public funds. Here, private funding, both via industry and philanthropy, can play an outsized role even with much smaller amounts. For example, unrestricted funds that can be used to attract and retain high quality manpower and to build international networks all at short notice can and will make an enormous difference to the success of this enterprise. This is the most effective way (as China and Singapore discovered) to catch up scientifically with the international community, while quickly creating a vibrant intellectual environment to help attract top researchers.

Further, connections with Indian industry from the start would also help quantum technologies become commercialised successfully, allowing Indian industry to benefit from the quantum revolution. We must encourage industrial houses and strategic philanthropists to take an interest and reach out to Indian institutions with an existing presence in this emerging field. As two of us can personally attest, the Tata Institute of Fundamental Research (TIFR), home to Indias first superconducting quantum computing lab, would be delighted to engage.

R. Vijayaraghavan is Associate Professor of Physics at the Tata Institute of Fundamental Research and leads its experimental quantum computing effort; Shivaji Sondhi is Professor of Physics at Princeton University and has briefed the PM-STIAC on the challenges of quantum science and technology development; Sandip Trivedi, a Theoretical Physicist, is Distinguished Professor and Director of the Tata Institute of Fundamental Research; Umesh Vazirani is Professor of Computer Science and Director, Berkeley Quantum Information and Computation Center and has briefed the PM-STIAC on the challenges of quantum science and technology development

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Picking up the quantum technology baton - The Hindu

The interdisciplinary team of researchers from UChicago, University of California, Berkeley, Princeton University and Argonne National Laboratory won the $2,500 first-place award for Best Paper. Their research examined how the VQE quantum algorithm could improve the ability of current and near-term quantum computers to solve highly complex problems, such as finding the ground state energy of a molecule, an important and computationally difficult chemical calculation the authors refer to as a killer app for quantum computing.

Quantum computers are expected to perform complex calculations in chemistry, cryptography and other fields that are prohibitively slow or even impossible for classical computers. A significant gap remains, however, between the capabilities of todays quantum computers and the algorithms proposed by computational theorists.

VQE can perform some pretty complicated chemical simulations in just 1,000 or even 10,000 operations, which is good, Gokhale says. The downside is that VQE requires millions, even tens of millions, of measurements, which is what our research seeks to correct by exploring the possibility of doing multiple measurements simultaneously.

Gokhale explains the research in this video.

With their approach, the authors reduced the computational cost of running the VQE algorithm by 7-12 times. When they validated the approach on one of IBMs cloud-service 20-qubit quantum computers, they also found lower error as compared to traditional methods of solving the problem. The authors have shared their Python and Qiskit code for generating circuits for simultaneous measurement, and have already received numerous citations in the months since the paper was published.

For more on the research and the IBM Q Best Paper Award, see the IBM Research Blog. Additional authors on the paper include Professor Fred Chong and PhD student Yongshan Ding of UChicago CS, Kaiwen Gui and Martin Suchara of the Pritzker School of Molecular Engineering at UChicago, Olivia Angiuli of University of California, Berkeley, and Teague Tomesh and Margaret Martonosi of Princeton University.

See the rest here:

Research by University of Chicago PhD Student and EPiQC Wins IBM Q Best Paper - Quantaneo, the Quantum Computing Source

INTRODUCTION

Majorana zero modes (MZMs) localized at the ends of one-dimensional topological superconductors are promising candidates for fault-tolerant quantum computing. One approach among the proposals to realize MZMsbased on semiconducting nanowires with strong spin-orbit coupling subject to a Zeeman field and superconducting proximity effecthas received considerable attention, yielding increasingly compelling experimental results over the past few years. An alternative route to MZMs aims to create vortices in topological superconductors, for instance, by coupling a vortex in a conventional superconductor to a topological insulator.

We intoduce a conceptually distinct approach to generating MZMs by threading magnetic flux through a superconducting shell fully surrounding a spin-orbitcoupled semiconducting nanowire core; this approach contains elements of both the proximitized-wire and vortex schemes. We show experimentally and theoretically that the winding of the superconducting phase around the shell induced by the applied flux gives rise to MZMs at the ends of the wire. The topological phase sets in at relatively low magnetic fields, is controlled by moving from zero to one phase twist around the superconducting shell, and does not require a large g factor in the semiconductor, which broadens the landscape of candidate materials.

In the destructive Little-Parks regime, the modulation of critical temperature with flux applied along the hybrid nanowire results in a sequence of lobes with reentrant superconductivity. Each lobe is associated with a quantized number of twists of the superconducting phase in the shell, determined by the external field. The result is a series of topologically locked boundary conditions for the proximity effect in the semiconducting core, with a dramatic effect on the subgap density of states.

Tunneling into the core in the zeroth superconducting lobe, around zero flux, we measure a hard proximity-induced gap with no subgap features. In the superconducting regions around one quantum of applied flux, 0 = h/2e, corresponding to phase twists of 2 in the shell, tunneling spectra into the core show stable zero-bias peaks, indicating a discrete subgap state fixed at zero energy.

Theoretically, we find that a Rashba field arising from the breaking of local radial inversion symmetry at the semiconductor-superconductor interface, along with 2-phase twists in the boundary condition, can induce a topological state supporting MZMs. We calculate the topological phase diagram of the system as a function of Rashba spin-orbit coupling, radius of the semiconducting core, and band bending at the superconductor-semiconductor interface. Our analysis shows that topological superconductivity extends in a reasonably large portion of the parameter space. Transport simulations of the tunneling conductance in the presence of MZMs qualitatively reproduce the experimental data in the entire voltage-bias range.

We obtain further experimental evidence that the zero-energy states are delocalized at wire ends by investigating Coulomb blockade conductance peaks in full-shell wire islands of various lengths. In the zeroth lobe, Coulomb blockade peaks show 2e spacing; in the first lobe, peak spacings are roughly 1e-periodic, with slight even-odd alternation that vanishes exponentially with island length, consistent with overlapping Majorana modes at the two ends of the Coulomb island. The exponential dependence on length, as well as incompatibility with a power-law dependence, provides compelling evidence that MZMs reside at the ends of the hybrid islands.

While being of similar simplicity and practical feasibility as the original nanowire proposals with a partial shell coverage, full-shell nanowires provide several key advantages. The modest magnetic field requirements, protection of the semiconducting core from surface defects, and locked phase winding in discrete lobes together suggest a relatively easy route to creating and controlling MZMs in hybrid materials. Our findings open the possibility of studying an interplay of mesoscopic and topological physics in this system.

(A) Colorized electron micrograph of a tunneling device composed of a hybrid nanowire with hexagonal semiconducting core and full superconducting shell. (B) Tunneling conductance (color) into the core as a function of applied flux (horizontal axis) and source-drain voltage (vertical axis) reveals a hard induced superconducting gap near zero applied flux and a gapped region with a discrete zero-energy state around one applied flux quantum, 0. (C) Realistic transport simulations in the presence of MZMs reproduce key features of the experimental data.

Read this article:

Flux-induced topological superconductivity in full-shell nanowires - Science Magazine

airspacemag.com March 27, 2020

In a new paper published in The International Journal of Astrobiology, Joseph Gale from The Hebrew University of Jerusalem and co-authors make the point that recent advances in artificial intelligence (AI)particularly in pattern recognition and self-learningwill likely result in a paradigm shift in the search for extraterrestrial intelligent life.

While futurist Ray Kurzweil predicted 15 years ago that the singularitythe time when the abilities of a computer overtake the abilities of the human brainwill occur in about 2045, Gale and his co-authors believe this event may be much more imminent, especially with the advent of quantum computing. Its already been four years since the program AlphaGO, fortified with neural networks and learning modes, defeated Lee Sedol, the Go world champion. The strategy game StarCraft II may be the next to have a machine as reigning champion.

If we look at the calculating capacity of computers and compare it to the number of neurons in the human brain, the singularity could be reached as soon as the early 2020s. However, a human brain is wired differently than a computer, and that may be the reason why certain tasks that are simple for us are still quite challenging for todays AI. Also, the size of the brain or the number of neurons dont equate to intelligence. For example, whales and elephants have more than double the number of neurons in their brain, but are not more intelligent than humans.

The authors dont know when the singularity will come, but come it will. When this occurs, the end of the human race might very well be upon us, they say, citing a 2014 prediction by the late Stephen Hawking. According to Kurzweil, humans may then be fully replaced by AI, or by some hybrid of humans and machines.

What will this mean for astrobiology? Not much, if were searching only for microbial extraterrestrial life. But it might have a drastic impact on the search for extraterrestrial intelligent life (SETI). If other civilizations are similar to ours but older, we would expect that they already moved beyond the singularity. So they wouldnt necessarily be located on a planet in the so-called habitable zone. As the authors point out, such civilizations might prefer locations with little electronic noise in a dry and cold environment, perhaps in space, where they could use superconductivity for computing and quantum entanglement as a means of communication.

We are just beginning to understand quantum entanglement, and it is not yet clear whether it can be used to transfer information. If it can, however, that might explain the apparent lack of evidence for extraterrestrial intelligent civilizations. Why would they use primitive radio waves to send messages?

I think it also is still unclear whether there is something special enough about the human brains ability to process information that casts doubt on whether AI can surpass our abilities in all relevant areas, especially in achieving consciousness. Might there be something unique to biological brains after millions and millions of years of evolution that computers cannot achieve? If not, the authors are correct that reaching the singularity could be humanitys greatest and last advance.

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Link:

Reaching the Singularity May be Humanity's Greatest and Last Accomplishment - Air & Space Magazine

New Jersey, United States:The Quantum Computing Market is carefully researched in the report while largely concentrating on top players and their business tactics, geographical expansion, market segments, competitive landscape, manufacturing, and pricing and cost structures. Each section of the research study is specially prepared to explore key aspects of the Quantum Computing market. For instance, the market dynamics section digs deep into the drivers, restraints, trends, and opportunities of the Quantum Computing Market. With qualitative and quantitative analysis, we help you with thorough and comprehensive research on the Quantum Computing market. We have also focused on SWOT, PESTLE, and Porters Five Forces analyses of the Quantum Computing market.

Global Quantum Computing Market was valued at USD 89.35 million in 2016 and is projected to reach USD 948.82 million by 2025, growing at a CAGR of 30.02% from 2017 to 2025.

Get | Download Sample Copy @ https://www.verifiedmarketresearch.com/download-sample/?rid=24845&utm_source=SGN&utm_medium=003

The main players featured in the Quantum Computing market report are:

Leading players of the Quantum Computing market are analyzed taking into account their market share, recent developments, new product launches, partnerships, mergers or acquisitions, and markets served. We also provide an exhaustive analysis of their product portfolios to explore the products and applications they concentrate on when operating in the Quantum Computing market. Furthermore, the report offers two separate market forecasts one for the production side and another for the consumption side of the Quantum Computing market. It also provides useful recommendations for new as well as established players of the Quantum Computing market.

Quantum Computing Market by Regional Segments:

The chapter on regional segmentation describes the regional aspects of the Quantum Computing market. This chapter explains the regulatory framework that is expected to affect the entire market. It illuminates the political scenario of the market and anticipates its impact on the market for Quantum Computing.

Analysts who have authored the report have segmented the market for Quantum Computing by product, application and region. All segments are the subject of extensive research, with a focus on CAGR, market size, growth potential, market share and other important factors. The segment study provided in the report will help players focus on the lucrative areas of the Quantum Computing market. The regional analysis will help the actors to strengthen their position in the most important regional markets. It shows unused growth opportunities in regional markets and how they can be used in the forecast period.

Ask for Discount @ https://www.verifiedmarketresearch.com/ask-for-discount/?rid=24845&utm_source=SGN&utm_medium=003

Highlights of TOC:

Overview: In addition to an overview of the Quantum Computing market, this section provides an overview of the report to give an idea of the type and content of the study.

Market dynamics: Here the authors of the report discussed in detail the main drivers, restrictions, challenges, trends and opportunities in the market for Quantum Computing.

Product Segments: This part of the report shows the growth of the market for various types of products sold by the largest companies.

Application segments: The analysts who have authored the report have thoroughly evaluated the market potential of the key applications and identified the future opportunities they should create in the Quantum Computing.

Geographic Segments: Each regional market is carefully examined to understand its current and future growth scenarios.

Company Profiles: The top players in the Quantum Computing market are detailed in the report based on their market share, served market, products, applications, regional growth and other factors.

The report also includes specific sections on production and consumption analysis, key results, key suggestions and recommendations, and other issues. Overall, it offers a complete analysis and research study of the Quantum Computing market to help players ensure strong growth in the coming years.

Complete Report is Available @ https://www.verifiedmarketresearch.com/product/Quantum-Computing-Market/?utm_source=SGN&utm_medium=003

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Tags: Quantum Computing Market Size, Quantum Computing Market Trends, Quantum Computing Market Forecast, Quantum Computing Market Growth, Quantum Computing Market Analysis

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CBI / Accenture research reveals that technology investment is shifting up a gear. Next on businesses investment horizon are technologies at the cutting edge of innovation: distributed ledger technology (DLT) like blockchain, artificial intelligence (AI), and quantum computing.

All three of these technologies have the potential to transform how we do business. AI in particular already is: the technology has been embedded by 33% of businesses, and is changing the game from sectors like law, where its improving how millions of documents are analysed, to the financial services, where its helping to combat increasingly sophisticated money laundering and fraud threats.

But cutting-edge tech isnt a universal answer. It can be hard to separate the hype from the reality and work out whether you would really benefit from familiar or emerging technologies. Whats more, successful technology adoption doesnt rely on just technology: it also requires factors like involving employees in innovation or understanding technology ethics, which can be a challenge.

Thats why the CBI has created an exclusive member guide, in partnership with Accenture. Based on the latest evidence and engagement with senior business leaders, we reveal where businesses are struggling to get the most out of their tech investments and the practical steps you can take to avoid common pitfalls.

The CBI is helping to drive change so that the UK can lead in emerging tech

To create a thriving ecosystem for key emerging technologies, CBI is calling for a pro-innovation regulatory environment that attracts companies to come to the UK, test new innovations here, and scale for long term success. The government must take a leading role to stimulate research and investment into new technologies like AI, quantum computing, and DLT, with a greater focus on horizon scanning.

The CBIs new practical guide will help your business move beyond the hype and get more from your technology

In partnership with Accenture, the CBIs exclusive member guide,Tech Reality Check, will help you understand:

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