The global Machine Learning in Finance 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 global Machine Learning in Finance Market. For instance, the market dynamics section digs deep into the drivers, restraints, trends, and opportunities of the global Machine Learning in Finance Market. With qualitative and quantitative analysis, we help you with thorough and comprehensive research on the global Machine Learning in Finance Market. We have also focused on SWOT, PESTLE, and Porters Five Forces analyses of the global Machine Learning in Finance Market.

Leading players of the global Machine Learning in Finance 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 global Machine Learning in Finance Market. Furthermore, the report offers two separate market forecasts one for the production side and another for the consumption side of the global Machine Learning in Finance Market. It also provides useful recommendations for new as well as established players of the global Machine Learning in Finance Market.

Final Machine Learning in Finance Report will add the analysis of the impact of COVID-19 on this Market.

Machine Learning in Finance Market competition by top manufacturers/Key player Profiled:

Ignite Ltd Yodlee Trill A.I. MindTitan Accenture ZestFinance

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With the slowdown in world economic growth, the Machine Learning in Finance industry has also suffered a certain impact, but still maintained a relatively optimistic growth, the past four years, Machine Learning in Finance market size to maintain the average annual growth rate of 15 from XXX million $ in 2014 to XXX million $ in 2019, This Report analysts believe that in the next few years, Machine Learning in Finance market size will be further expanded, we expect that by 2024, The market size of the Machine Learning in Finance will reach XXX million $.

Segmentation by Product:

Supervised Learning Unsupervised Learning Semi Supervised Learning Reinforced Leaning

Segmentation by Application:

Banks Securities Company

Competitive Analysis:

Global Machine Learning in Finance Market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market. The report includes market shares of Machine Learning in Finance Market for Global, Europe, North America, Asia-Pacific, South America and Middle East & Africa.

Scope of the Report: The all-encompassing research weighs up on various aspects including but not limited to important industry definition, product applications, and product types. The pro-active approach towards analysis of investment feasibility, significant return on investment, supply chain management, import and export status, consumption volume and end-use offers more value to the overall statistics on the Machine Learning in Finance Market. All factors that help business owners identify the next leg for growth are presented through self-explanatory resources such as charts, tables, and graphic images.

Key Questions Answered:

Our industry professionals are working reluctantly to understand, assemble and timely deliver assessment on impact of COVID-19 disaster on many corporations and their clients to help them in taking excellent business decisions. We acknowledge everyone who is doing their part in this financial and healthcare crisis.

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Table of Contents

Report Overview:It includes major players of the global Machine Learning in Finance Market covered in the research study, research scope, and Market segments by type, market segments by application, years considered for the research study, and objectives of the report.

Global Growth Trends:This section focuses on industry trends where market drivers and top market trends are shed light upon. It also provides growth rates of key producers operating in the global Machine Learning in Finance Market. Furthermore, it offers production and capacity analysis where marketing pricing trends, capacity, production, and production value of the global Machine Learning in Finance Market are discussed.

Market Share by Manufacturers:Here, the report provides details about revenue by manufacturers, production and capacity by manufacturers, price by manufacturers, expansion plans, mergers and acquisitions, and products, market entry dates, distribution, and market areas of key manufacturers.

Market Size by Type:This section concentrates on product type segments where production value market share, price, and production market share by product type are discussed.

Market Size by Application:Besides an overview of the global Machine Learning in Finance Market by application, it gives a study on the consumption in the global Machine Learning in Finance Market by application.

Production by Region:Here, the production value growth rate, production growth rate, import and export, and key players of each regional market are provided.

Consumption by Region:This section provides information on the consumption in each regional market studied in the report. The consumption is discussed on the basis of country, application, and product type.

Company Profiles:Almost all leading players of the global Machine Learning in Finance Market are profiled in this section. The analysts have provided information about their recent developments in the global Machine Learning in Finance Market, products, revenue, production, business, and company.

Market Forecast by Production:The production and production value forecasts included in this section are for the global Machine Learning in Finance Market as well as for key regional markets.

Market Forecast by Consumption:The consumption and consumption value forecasts included in this section are for the global Machine Learning in Finance Market as well as for key regional markets.

Value Chain and Sales Analysis:It deeply analyzes customers, distributors, sales channels, and value chain of the global Machine Learning in Finance Market.

Key Findings: This section gives a quick look at important findings of the research study.

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Trending News Machine Learning in Finance Market Key Drivers, Key Countries, Regional Landscape and Share Analysis by 2025|Ignite Ltd,Yodlee,Trill...

GPUs became the hardware of choice for deep learning largely by coincidence. The chips were initially designed to quickly render graphics in applications such as video games. Unlike CPUs, which have four to eight complex cores for doing a variety of computation, GPUs have hundreds of simple cores that can perform only specific operationsbut the cores can tackle their operations at the same time rather than one after another, shrinking the time it takes to complete an intensive computation.

It didnt take long for the AI research community to realize that this massive parallelization also makes GPUs great for deep learning. Like graphics-rendering, deep learning involves simple mathematical calculations performed hundreds of thousands of times. In 2011, in a collaboration with chipmaker Nvidia, Google found that a computer vision model it had trained on 2,000 CPUs to distinguish cats from people could achieve the same performance when trained on only 12 GPUs. GPUs became the de facto chip for model training and inferencingthe computational process that happens when a trained model is used for the tasks it was trained for.

But GPUs also arent perfect for deep learning. For one thing, they cannot function as a standalone chip. Because they are limited in the types of operations they can perform, they must be attached to CPUs for handling everything else. GPUs also have a limited amount of cache memory, the data storage area nearest a chips processors. This means the bulk of the data is stored off-chip and must be retrieved when it is time for processing. The back-and-forth data flow ends up being a bottleneck for computation, capping the speed at which GPUs can run deep-learning algorithms.

NEURAL MAGIC

In recent years, dozens of companies have cropped up to design AI chips that circumvent these problems. The trouble is, the more specialized the hardware, the more expensive it becomes.

So Neural Magic intends to buck this trend. Instead of tinkering with the hardware, the company modified the software. It redesigned deep-learning algorithms to run more efficiently on a CPU by utilizing the chips large available memory and complex cores. While the approach loses the speed achieved through a GPUs parallelization, it reportedly gains back about the same amount of time by eliminating the need to ferry data on and off the chip. The algorithms can run on CPUs at GPU speeds, the company saysbut at a fraction of the cost. It sounds like what they have done is figured out a way to take advantage of the memory of the CPU in a way that people havent before, Thompson says.

Neural Magic believes there may be a few reasons why no one took this approach previously. First, its counterintuitive. The idea that deep learning needs specialized hardware is so entrenched that other approaches may easily be overlooked. Second, applying AI in industry is still relatively new, and companies are just beginning to look for easier ways to deploy deep-learning algorithms. But whether the demand is deep enough for Neural Magic to take off is still unclear. The firm has been beta-testing its product with around 10 companiesonly a sliver of the broader AI industry.

We want to improve not just neural networks but also computing overall.

Neural Magic currently offers its technique for inferencing tasks in computer vision. Clients must still train their models on specialized hardware but can then use Neural Magics software to convert the trained model into a CPU-compatible format. One client, a big manufacturer of microscopy equipment, is now trialing this approach for adding on-device AI capabilities to its microscopes, says Shavit. Because the microscopes already come with a CPU, they wont need any additional hardware. By contrast, using a GPU-based deep-learning model would require the equipment to be bulkier and more power hungry.

Another client wants to use Neural Magic to process security camera footage. That would enable it to monitor the traffic in and out of a building using computers already available on site; otherwise it might have to send the footage to the cloud, which could introduce privacy issues, or acquire special hardware for every building it monitors.

Shavit says inferencing is also only the beginning. Neural Magic plans to expand its offerings in the future to help companies train their AI models on CPUs as well. We believe 10 to 20 years from now, CPUs will be the actual fabric for running machine-learning algorithms, he says.

Thompson isnt so sure. The economics have really changed around chip production, and that is going to lead to a lot more specialization, he says. Additionally, while Neural Magics technique gets more performance out of existing hardware, fundamental hardware advancements will still be the only way to continue driving computing forward. This sounds like a really good way to improve performance in neural networks, he says. But we want to improve not just neural networks but also computing overall.

Originally posted here:

The startup making deep learning possible without specialized hardware - MIT Technology Review

This article was originally published here

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts.

PLoS Med. 2020 Jun;17(6):e1003149

Authors: Atabaki-Pasdar N, Ohlsson M, Viuela A, Frau F, Pomares-Millan H, Haid M, Jones AG, Thomas EL, Koivula RW, Kurbasic A, Mutie PM, Fitipaldi H, Fernandez J, Dawed AY, Giordano GN, Forgie IM, McDonald TJ, Rutters F, Cederberg H, Chabanova E, Dale M, Masi F, Thomas CE, Allin KH, Hansen TH, Heggie A, Hong MG, Elders PJM, Kennedy G, Kokkola T, Pedersen HK, Mahajan A, McEvoy D, Pattou F, Raverdy V, Hussler RS, Sharma S, Thomsen HS, Vangipurapu J, Vestergaard H, t Hart LM, Adamski J, Musholt PB, Brage S, Brunak S, Dermitzakis E, Frost G, Hansen T, Laakso M, Pedersen O, Ridderstrle M, Ruetten H, Hattersley AT, Walker M, Beulens JWJ, Mari A, Schwenk JM, Gupta R, McCarthy MI, Pearson ER, Bell JD, Pavo I, Franks PW

Abstract BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible damage to the liver and, ultimately, hepatocellular carcinomas. We sought to expand etiological understanding and develop a diagnostic tool for NAFLD using machine learning. METHODS AND FINDINGS: We utilized the baseline data from IMI DIRECT, a multicenter prospective cohort study of 3,029 European-ancestry adults recently diagnosed with T2D (n = 795) or at high risk of developing the disease (n = 2,234). Multi-omics (genetic, transcriptomic, proteomic, and metabolomic) and clinical (liver enzymes and other serological biomarkers, anthropometry, measures of beta-cell function, insulin sensitivity, and lifestyle) data comprised the key input variables. The models were trained on MRI-image-derived liver fat content (<5% or 5%) available for 1,514 participants. We applied LASSO (least absolute shrinkage and selection operator) to select features from the different layers of omics data and random forest analysis to develop the models. The prediction models included clinical and omics variables separately or in combination. A model including all omics and clinical variables yielded a cross-validated receiver operating characteristic area under the curve (ROCAUC) of 0.84 (95% CI 0.82, 0.86; p < 0.001), which compared with a ROCAUC of 0.82 (95% CI 0.81, 0.83; p < 0.001) for a model including 9 clinically accessible variables. The IMI DIRECT prediction models outperformed existing noninvasive NAFLD prediction tools. One limitation is that these analyses were performed in adults of European ancestry residing in northern Europe, and it is unknown how well these findings will translate to people of other ancestries and exposed to environmental risk factors that differ from those of the present cohort. Another key limitation of this study is that the prediction was done on a binary outcome of liver fat quantity (<5% or 5%) rather than a continuous one. CONCLUSIONS: In this study, we developed several models with different combinations of clinical and omics data and identified biological features that appear to be associated with liver fat accumulation. In general, the clinical variables showed better prediction ability than the complex omics variables. However, the combination of omics and clinical variables yielded the highest accuracy. We have incorporated the developed clinical models into a web interface (see: https://www.predictliverfat.org/) and made it available to the community. TRIAL REGISTRATION: ClinicalTrials.gov NCT03814915.

PMID: 32559194 [PubMed as supplied by publisher]

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Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts. - DocWire...

A South Korean startup is holding a competition to fill one of the worlds first galleries for machine learning-generated art in a bid to foster a nascent artificial intelligence creativity scene in the country.

The company, Pulse9, which makes AI-powered graphics tools, is soliciting art pieces that make use of machine learning tech in some waywhether to produce an image out of whole cloth or restyle or supplement an artists workthrough the end of September.

The project is a notable addition to a burgeoning global community of technologists, new media artists and other creatives who are exploring the bounds of machine creativity through art, spurred by recent research advances that have made AI-generated content more realistic and elaborate than ever.

The medium had perhaps its biggest mainstream breakthrough in 2018, when Christies Auction House sold its first piece of AI-generated art for nearly half a million dollarsa classical style painting of a fictional character named Edmond de Belamy. That was also the moment that inspired the team at Pulse 9, which had just launched an AI tool to help draw and color a Korean style of digital comic called webtoons earlier that year.

We asked ourselves, Could we also sell paintings? and we started looking for art platform companies to work with, Pulse 9 spokesperson Yeongeun Park said.

The company teamed with an art platform called Art Together on a series of crowdfunded AI pieces that proved to be more popular than they had expectedone hit its goal a full week ahead of scheduleand the team began considering parlaying it into a bigger project.

With great attention from the public and the good funding results, we gained confidence in pioneering the Korean AI art market, Park said. So, we eventually decided to open our own AI art gallery.

The company acknowledges that questions of authorship and originality still hang over the concept of AI art but stresses that the gallery is about collaboration between humans and technology rather than AI simply replacing artists. Even pieces generated entirely by machines require a host of human touches, whether its curating a collection of visuals for training or adjusting training regimens to achieve a desired results.

The theme of this competition is Can AI art enhance human artistic creativity?' Park said. We hope that this competition will also be an opportunity to discover creative, competent and new artists who would like to engage AI tools as a new artistic medium in their artwork.

The goal is to establish AIA Gallery as a well-recognized institution in the art world and educate people on the potential for AI-powered creativity. The organizers hope the process will also inspire other efforts and create an AI creativity hub in the country.

Groups or communities of AI artists have formed and are gradually growing, especially overseas, Park said. In the case of Korea, the AI Art market has not been well-recognized yet, but weve been continuing to play our role with our own initiative.

The AIA Gallery recently partnered with one of the leading startups in the new space, Playform, which is led by Rutgers University Art and AI Lab director Ahmed Elgammal (after learning about the company from an Adweek article).

Progress in generative AI creativity isnt confined to the art world, either. Agencies have started to experiment with various AI-generated graphics in campaigns, and brands have filed a slew of patent applications around the central technology powering the revolutiona neural net structure called a generative adversarial network.

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This Startup Is Trying to Foster an AI Art Scene in Korea - Adweek

Scientists at the International Center for Tropical Agriculture (CIAT) are analyzing drone images captured above the soil to examine what is going on below. With the help of machine learning, the experts are revolutionizing the way that farmers and breeders monitor crop health.

The Pheno-i platform provides real-time data that can be used to determine how root crops are responding to heat or drought.

The main objective of the phenotyping platform is to contribute to sustainable agriculture and the development of more climate-resilient crops.

Root crops like carrots and potatoes often show no signs of the diseases and deficiencies that affect their growth. The plant leaves may look green and healthy, but that is not always a good indication of what is going on beneath the soil.

Plant breeders have to wait months or years before discovering how crops respond to temperature changes or dry spells. Without the right nutrients or growing conditions, crop health and development can be stifled early on.

One of the great mysteries for plant breeders is whether what is happening above the ground is the same as whats happening below, said study co-author Michael Selvaraj.

That poses a big problem for all scientists. You need a lot of data: plant canopy, height, other physical features that take a lot of time and energy, and multiple trials, to capture what is really going on beneath the ground and how healthy the crop really is.

Drone technology is becoming much cheaper, and capturing physical images during crop trials is now easier than ever before. However, analyzing vast quantities of visual information, and then converting it into useful data, has been a major challenge.

The Pheno-i platform merges data from thousands of high-resolution drone images, analyzes them through machine learning, and then produces a spreadsheet. Scientists using the platform can assess crop health and see how plants are responding to external conditions in real-time.

The technology makes it possible for breeders to immediately identify what crops need, such as when they are lacking nutrients or water.

The data also helps scientists determine which crops are more resilient to climate change.

Were helping breeders to select the best root crop varieties more quickly, so they can breed higher-yielding, more climate-smart varieties for farmers, said Gomez Selvaraj.

The drone is just the hardware device, but when linked with this precise and rapid analytics platform, we can provide useful and actionable data to accelerate crop productivity.

The study is published in the journal Plant Methods.

By Chrissy Sexton, Earth.com Staff Writer

See the rest here:

Scientists use AI and drone images to interpret crop health Earth.com - Earth.com

Tyga has released his new single Vacation. The video is directed by Tyga, Frank Borin and Ivanna Borin. It is a pop song with upbeat music. Read to know more about his latestrelease-

Also Read |Usher Releases New Song 'California' Found On 'Songland' Featuring Tyga

Tyga has recently dropped his brand new single titled as Vacation and it gives major vibes of having a relaxing time. The 3:11 minute video starts with Tyga sleeping in a floating tube in the ocean. As the camera pans out, he is seen in glass and a shark eats the artists in the tube. He then appears at a beach with two females around him. The beach turns into a studio as Tyga gets up and is seen in a car with a lady. The video shows the rapper having a star at Hollywood walk of fame while paparazzis click his pictures. Tyga is then seen playing basketball as he says I wanna be like Mik, fly like Mik, referring to legendary professional basketball player Michael Jordon. He even wins some award at the basketball court.

As the track moves forward, Tyga is watching himself on a projector as he boards a plane. He is rapping that he needs a trip to Jamaica and needs a house with no neighbours. Next, he is standing below a light bulb and switches it off. Then his skeleton appears performing on the song. As he switches the on, he is seen at a meeting where everyone is discussing something aggressively. The video ends from where it started with Tyga sleeping in a floating tube with a smile on his face.

Also Read |Celebrities Who Appeared On Khloe Kardashian's 'Kocktails With Khlo'; Cardi B To Tyga

Also Read |Shakira's New Single 'Me Gusta' In Collaboration With Anuel AA Out!

Tyga's single Vacation has currently crossed 160k views on YouTube. It has received 20k likes with just 260 dislikes and more than one thousand comments till now. Fans have praised the song as one user commented, Tyga never disappoints, another said, Tyga dropping hits after hits. Many also applauded the editing and VFX. Vacation is produced by Andrea Saavedra under the banner of UnderWonder Content. Maz Makhani is the director of photography with Ivanna Borin as the editor.

Also Read |Tekashi 6ix9ine Announces A New Single With Nicki Minaj Called Trollz

Tyga is also offering a free vacation to his followers. He provided a number, (323)402-5545, and urged fans to text him on it. T-Raww mentioned the lucky winners will go on a vacation financed by him. In a video on his Instagram handle, the rapper stated that he is giving away paid vacations for people who are working to fight the global pandemic or are standing for equality.

Get the latest entertainment news from India & around the world. Now follow your favourite television celebs and telly updates. Republic World is your one-stop destination for trending Bollywood news. Tune in today to stay updated with all the latest news and headlines from the world of entertainment.

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Tygas new single Vacation has major relaxing vibes to it: Watch it here - Republic World - Republic World

NoCap is a master of gloom. The Mobile, Alabama, rappers music mines a distinct sense of hopelessness; at points, his voice warbles with an unmistakable dread and then swells into a half-rapped, half-shrieked force.

Count A Million, his new song featuring Lil Uzi Vert, seems at first like it might be a song about the happiness that comes along with newly found wealth and security. Yet NoCap assures the listener I aint flexin, I aint braggin, despite devoting a considerable amount of time to doing that very thing. He might be relaxing in a five-star hotel after stepping off a jet, but his words still come with a sense of paranoia thats understandable. For every one of his flexes, there are unforeseen consequences. Thats why hell boast, Ithink that I could count amillion with my eyes closed on the chorus and move on to Niggas I love wanna see me lose by the verse. Its all juxtaposed with AlGeno and Yung Tagos production, full of wistful keys and chaotic drums.

By the time Lil Uzi Vert one of the architects of modern raps narcotized state arrives on the song, hes clearly at home. Every time that I lose somebody, you know that its numb time, he raps at the beginning of his verse. I sit back, take a pill and think about all of em, good times. Theres not much to celebrate on Count A Million, but then again, most people arent in the mood to rejoice right now.

Find a playlist of all of our recent Songs You Need to Know selections on Spotify.

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NoCap And Lil Uzi Vert Arent Here To Celebrate on Count a Million - Rolling Stone

High needs babies as those who have a stronger attachment to their parents.

Raising a baby is both beautiful and challenging. At first, parents find it challenging to understand why a baby cries. But with time, they differentiate the cries, knowingwhen the baby is hungry, has colic, needs a diaper change, or a nap. Unfortunately, there is a category of babies who are more complicated and more challenging the high needs babies.

Not only are they extra fussy, but they always seem dissatisfied. The babies require more maintenance as well as demand more attention. Their personality makes parenting tiring and frustrating. Unfortunately, there is no diagnosis for high needs babies. How can you tell you are raising a high need baby? Below are signs of this personality and ways you can implement to help with parenting.

Some babies will be at peace with a baby sitter as long as all their needs get catered. It is also normal for 6-12month old babies to suffer from separation anxiety when left by their parents. This, however, does not apply to high needs babies as they have a stronger attachment to their parents. They may even go to extreme lengths of preferring one parent over the other. This intense connection makes it difficult for them to process their parent leaving. It should not come as a surprise when you find your little one crying his lungs out hours after you left.

High need babies also hate sitting in car seats as they feel separated. A simple ride to the park can cause agitation to these little ones as they hate feeling confined. For them, sitting at the back and not your arms makes them feel isolated.

What to do: Take turns caring for the baby to avoid having one favorite party. Also, introduce the nanny beforehand for your baby. Although your baby will cry when you leave, they will feel secure that they are with no stranger.

High needs babies are intense in all their actions. When demanding their needs, they will cry loudly and persistently. Delayed gratification is nowhere in their vocabulary. Most parents notice they have a high need baby right from birth. Even in their tiny state, they angrily clench their little fists when they feel their mother has taken long to feed them. They also become agitated when a mother misinterprets their cue.

It gets more robust in the toddler stage. These babies are always in high spirits and seem driven. They will enjoy exploring every corner around the home and experimenting with new things. Keeping them safe will be an exhilarating task since you always have to be on your toes.

Luckily, these babies can reciprocate the same energy when happy. These babies can melt your heart when they laugh. They also have no problem when feeding since they give it their all.

What to do: Always remain calm even whenever your baby is agitated. The incessant crying should not make you feel less of a parent. Instead, remind yourself that the personality will get better with time. Lastly, purchase fun and safe products for them.

RELATED:When Should You Transition Your Baby Out Of A Crib?

High needs babies have no idea how to entertain or calm themselves. They will need you to soothe them. Unlike other babies who may clap their hands repetitively or suck their fingers in an attempt to self appease, a high-need baby will cry out loud for you to assist them.

Besides, these babies can be extremely playful and active. When holding them, you will find them moving up and down your lap. Remaining still and relaxing is not part of who they are. You might also notice the same movement in their sleep. One sleeping position is not adequate for them.

What to do: Introduce one or two ways for your young one to get accustomed to when in an uncomfortable situation. It could be a favorite toy or relaxing music. In time, your kid will associate the doll or music with a happy hour.

For most babies, singing a song or rocking them can quickly help elevate their moods. Unfortunately, this is not the case with high need babies. They have explosive mood swings, which are not easy to cool. When happy, these babies become charmers, but when angry, nothing works on them. You will find it difficult gauging whether to carry your baby with you to the local store.

What to do: Since your baby is unpredictable, use trial and error. Since they have not acquired language to express their needs, guess till you make it. Make sure you remember that no one expects perfection in your parenting. You can also let them cry their emotions.

There will be days when your arms and feet have a story to tell. High need babies crave for skin-to-skin contact and may lurch on your breast for comfort, not feeding. They will also sleep deeply on your arms but wake up the moment you lay them in their crib. Moreover, they will demand to be held while in motion.

What to do: When your baby needs you to be in motion, try sitting in a rocking chair or a glide. This will reduce tension on your legs.

NEXT:10 Ways To Keep The Kids Quiet During Conference Calls

Sources: babysleepsite, todaysparent, healthline, askdrsears

COVID-19: Expert Weighs In On When Grandparents Can Visit Newborn

Karen Maina is an avid reader, writer, and editor based in Nairobi, Kenya. She's been an administrative assistant, marketing executive, senior sales consultant, tutor, and a content creator. She now works as an organic list writer for Valnet, Inc covering BabyGaga, TheTalko, Moms.com, TheRichest, as well as other sites. The graduate of Kenyatta University Hospitality and Tourism program enjoys reading, travelling, listening to music, and catching up on her favorite TV shows.

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Signs Of A High Needs Baby (& What To Do) | BabyGaga - BabyGaga

LOCKDOWN couldnt have come at a better time for Dua Lipas boyfriend Anwar Hadid.

He has got a job out of it and avoided seeing his girlfriend kiss another man on screen.

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I can reveal the model has been drafted in to play the singers love interest in her next music video because social distancing measures mean she couldnt be filmed with someone else.

The couple have been isolating together in North London during the coronavirus lockdown.

A music insider said: Dua has been getting back to work in London this week and has been shooting for her next music video.

Things were put on ice originally but with lockdown easing slower than they expected, they decided to push ahead and shoot a video with Anwar because he and Dua do not need to be two metres apart from each other.

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Its great for Anwar because he wont have to see Dua writhing around with another man, not to mention the boost it will give his profile by being in the video.

They have done some sexy scenes too, so it has been fun for them both.

The video will be for her fourth single from hit album Future Nostalgia, although she is yet to reveal which track it will be.

It will follow top tens Dont Start Now, Physical and Break My Heart.

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She celebrated her one-year anniversary with Anwar, the younger brother of models Gigi and Bella, at the weekend.

Paloma Faith said last month that she loves flirting with the men opposite her in music videos because its a free pass from her long-term boyfriend.

She said: I always fancy the guy. I just have the best job ever because Im allowed to snog hunky, hot guys My partner hates it.

Maybe Dua has missed out.

MOST people have been opting for comfy loungewear in lockdown but not Kylie Jenner, who pulled out all the stops for a Vogue photoshoot in quarantine.

The make-up mogul proved she wasnt shy as she posed at her LA home in this cobalt blue mini-dress hiked up around her hips.

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Her adorable two-year-old daughter Stormi also made her magazine cover debut for Vogue Czechoslovakia.

Kylie revealed that the shoot had been done using app Zoom on her iPhone.

She treated her 181million followers to a behind-the-scenes look while two photographers snapped away on the video-calling app as she cuddled her daughter in bed.

She wrote: I love this little baby so much I want to burst... Sometimes I just look at her and cry knowing she will never be this small again.

"Who knew something so little could take up most of your heart?

KIM Kardashian has landed a criminal justice podcast on Spotify with The Innocence Project, which helps people wrongly convicted through DNA testing.

It will highlight cases as she trains to become a lawyer.

NIALL Horan hasnt been enjoying lockdown, admitting the tunes hes written are rubbish.

The former One Direction star has now put down his pen and is relaxing.

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He said: I was writing loads, I spent all my time sitting at the piano.

And then I was just starting to write crap and didnt really know what I was writing about.

"So Ive taken this week to just listen to some tunes.

Thankfully he still has singles to release from his second album Heartbreak Weather, although he was disheartened because it came out as lockdown hit.

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Niall added: I love it. Its just a shame it was released during this s**t.

It went to No1 here but Id have liked for it to go to No1 in America.

Its a long time to spend on an album then it be released in this.

WILEY says he wont release another album because he doesnt want to be the old geezer among the kids.

The 41-year-old grime star, who has 13 albums behind him, made the admission weeks after his final record The Godfather III peaked at No107.

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The disappointing chart position came despite him feuding with Stormzy for publicity.

He said in an Instagram Live: This is the last album I ever let any corporate human being put their two pence in to look for ten pence.

Ive got to this day and I said to myself, You know what Wiley, you can keep going on a greedy man thing but youve got kids.

"All your friends have got kids and if you dont wake up now and realise we need to be building the path for our kids then youre gonna end up the old geezer among kids.

Hes leaving the industry with less of a bang and more of a whimper.

MEGAN Fox and Machine Gun Kelly look smitten just a month after her split from hubby Brian Austin Green.

The new couple were photographed leaving his Hollywood mansion this week, having only recently gone public with their romance.

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And they arent taking things slowly.

On an Instagram post of a picnic the pair were having, Kelly added the caption: In love.

The rapper has previously been linked to Kate Beckinsale, Noah Cyrus and Amber Rose.

At least this one seems to be working out.

ELLIE Goulding has revealed Drake and Jay-Z didnt ask permission to sample her voice on their track Poundcake - and she only knew after it was out.

But she was thrilled they had borrowed her vocals from her song Dont Say A Word for the 2013 track.

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A pal played the song to Ellie thinking it was a soundalike and Ellie said: Wait, that is me.

She added: Its Drake and Jay-Z so they can get away with it. You take it. You have it.

And it is so straight-forward to get a collaboration with Ellie, I might even have a go.

She told Apple Music: Ive had producers message me on Instagram saying, Can you send me some vocals? And I just send them. I dont care.

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VICKY Pattison shows some front, while lying on her back, as she catches rays in this revealing swimsuit.

NOEL Gallagher has had more feuds than Ive had hot dinners and it looks like hes ignited another one.

The Oasis rocker was asked if his pal Kelly Jones, the Stereophonics frontman, is a hard guy, and said: Ive never seen any evidence of that.

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"I dont think anybodys particularly hard who Ive met. Theres a few lairy f***ers. But I dont think anybodys particularly hard.

He told Matt Morgans Funny How? podcast: Usually the rule is the guys with the biggest mouths have the smallest d***s, shall we say.

Who can he mean . . ?

GOT a story? RING The Sun on 0207 782 4104 or WHATSAPP on 07423720250 or EMAILexclusive@the-sun.co.uk

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Dua Lipa films steamy new music video with boyfriend Anwar Hadid so she isnt writhing around with another ma - The Sun

Wednesday 1 July 2020 is Triple M's No Talk Day.

On air all day, on all 43 Triple M Stations across Australia will have NO ADS, NO SHOWS, NO ANNOUNCERS, NO NEWS, and NO TRAFFIC.We're not talking so you can.

Every day in Australia, six men die by suicide. It's the number one killer of men aged 18-44.

Sometimes men don't talk about what is affecting them, which is why on Triple M's No Talk Day, right across Australia, we're not talking. We want you to have that important conversation with the people who matter to you. It might be the most important chat you ever have.

But talking is hard. Below, we've worked with our mates at Beyond Blue to give you some tips and tools for approaching that difficult, but important, conversation.

Meanwhile, to help show that we all feel the effects of bad times and negativity, here's a Triple M Special Podcast with the one and only Jimmy Barnes, talking about his experiences and how he has come through dark times. We're very proud of this one and encourage everyone to have a listen:

Here are your tools for dealing with tough times. And for starting a conversation with someone who you think is doing it tough:

1. Wallow ... constructively

If youre having a down day, have it. Let yourself feel the emotions butdont stay there.

You may find yourself focusing on one thing that went wrong instead of many things that went right.

Considerwriting about what youre experiencing. Then, when the feelings lift, write about that, too.

Push yourself to recognize the good. Write was happy about the event or day. Then write down what went wrong.

Seeing the weight youre giving to one thing may help you direct your thoughts.

2. Set attainable goals

Instead of a long list of tasks, consider setting one or two smaller goals.

For example:

When youve done a small thing, set your eyes on another small thing, and then another. This way, you have a list of achievements and not an untouched to-do list.

3. Reward your efforts

All goals & successes are worthy of recognition. When you achieve a goal, do your best to recognize it.

You may not feel like celebrating with a double fist pump, but recognizing your own successes can be apowerful weaponagainst depressions negative weight.

WE RECORDED THIS SPECIAL PODCAST ABOUT HANDLING ANXIETY AND STRESS EARLIER THIS YEAR WITH DR TRAVIS KEMP. IF YOU'RE MANAGING STRESS, MAYBE IT'LL HELP YOU:

4. You may find it helpful to create a routine

Ifdepressive symptomsdisrupt your daily routine, setting a gentle schedule may help you feel in control.

But these plans dont have to map out your entire day.

Focus on times when you feel the most disorganized or scattered.

Your schedule could focus on the time before work or right before bed. Perhaps its only for weekends. Focus on creating a loose, but structured, routine that can help you keep your daily pace going.

5. Do something you enjoy...

Depression can push you to give into your fatigue. It may feel more powerful than happy emotions.

Try to push back and do something you love something thats relaxing, but energizing. It could be playing an instrument, kicking the footy, hiking, or biking.

These activities can provide subtle lifts in your mood and energy, which may help you overcome your symptoms.

6. ...like listening to music

Researchshows music can be a great way to boost your mood and improve symptoms of depression. It may also help youstrengthenyour reception of positive emotions.

Music may be especially beneficial when performed in group settings, such as a band.

You can also reap some of the same rewards simply by listening.

7. ...or spend time in nature

Mother Nature can have a powerful influence on depression.Researchsuggests people who spend time in nature have improved mental health.

Exposure to sunlight may offer some of the same benefits. It can increase your serotonin levels, which can provide atemporary mood boost.

Consider taking a walk at lunch among trees or in your local park. Or plan a weekend hike. These activities can help you reconnect with nature and soak in some rays at the same time.

8. ...or spend time with loved ones

Depression can tempt you toisolate yourselfand withdraw from your friends and family, but face-to-face time can help wash away those tendencies.

If youre unable to spend time together in person, phone calls or video chats can also help.

Try to remind yourself these people care about you. Resist the temptation to feel like youre a burden. You need the interaction and they likely do, too.

9. Try something new entirely

When you do the same thing day after day, you use the same parts of your brain. You can alter your brain chemistry by doing something entirely different.

Researchalso shows doing new things can improve your overall well-being and strengthen your social relationships.

Consider trying a new sport, taking a creative class, or learning a new cooking technique.

10. Volunteering can be a great way to do both

Knock out a few birds with one stone spending time with other people and doing something new by volunteering and giving your time to someone or something else.

You may be used to receiving help from friends, but reaching out and providing help may actually improve your mental health more.

Bonus: People who volunteer experience physical benefits, too. This includes areduced riskofhypertension.

11. You can also use this as a way to practice gratitude

When you do something you love, or find a new activity you enjoy, you may be able to boost your mental health more by taking time to be thankful for it.

Researchshows gratitude can have lasting positive effects on your overall mental health.

Whats more,writing downyour gratitude including writing notes to others can be particularly meaningful.

12. Incorporating meditation may help ground your thoughts

Stress and anxietycan prolong your depression symptoms.

Findingrelaxation techniquescan help you lower stress and invite more joy and balance into your day.

Researchsuggests activities likemeditation,yoga,deep breathing, and evenjournalingmay help you improve your sense of well-being and feel more connected to whats happening around you.

WHEN THE PANDEMIC FIRST HIT, WE SPOKE TO HUGH VAN CUYLENBURG OF THE RESILIENCE PROJECT. HIS TOOLS FOR HANDLING TOUGH TIMES APPLY TO ALL OF US. HERE'S THAT SPECIAL PODCAST:

13. What you eat and drink can also affect how you feel

Theres no magic diet that will treat depression. But what you put into your bodycan have a real and significant impacton the way you feel.

Eating a diet rich in lean meats, vegetables, and grains may be a great place to start. Try to limit stimulants like caffeine, coffee, soft drinks, and depressants like alcohol

Some people alsofeel betterand have more energy when they avoid sugar, preservatives, and processed foods.

If you can, consider meeting with a doctor or registered dietitian for guidance.

14. If youre up for exercise, consider a walk around the block

On days when you feel as if you cant get out of bed, exercise may seem like the last thing youd want to do. However, exercise and physical activity can be powerful depression fighters.

Researchsuggests that, for some people, exercise can be as effective as medication at relieving depression symptoms. It may also helppreventfuturedepressive episodes.

If youre able to, take a walk around the block. Start with a five-minute walk and work your way up from there.

15. Getting enough sleephas a noticeable, positive effect

Sleep disturbances are common with depression. You may not sleep well, or you may sleep too much. Both can make depression symptoms worse.

Aim for eight hours of sleep per night. Try to get into ahealthy sleeping routine.

Going to bed andwaking up at the same timeevery day can help you with your daily schedule. Getting the proper amount of sleep may also help you feel morebalanced and energizedthroughout your day.

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Triple M's No Talk Day: How To Start The Conversation - Triple M