Page 2,623«..1020..2,6222,6232,6242,625..2,6302,640..»

21-year-old Nikolas Theodorou Becomes Chess Grand Master After Winning International Event Greek – GreekCityTimes.com

Nikolas Theodorou is a chess player who is constantly surprising people with his success.

This time, the success is such that it goes beyond the borders of our country and is one of the biggest goals set by a chess player winning a Grand Master title.

In fact, only 11 chess players from Greece have conquered it.

At an international event held in South Carolina in the U.S., Nikolas excelled and won First place in the tournament.

By winning, he collected the necessary percentage to get his third Grand Meter norm, which was the last one required to win the title.

21-year-old Theodorou is the first chess player from Crete to achieve this title.

Congratulations Nikola and once again we wish you every success in your goals and for your dreams come true, Rethymnon Chess Club wrote.

READ MORE: PM Mitsotakis: EKO Acropolis Rally 2021 Rally of Gods is here to stay.

More:
21-year-old Nikolas Theodorou Becomes Chess Grand Master After Winning International Event Greek - GreekCityTimes.com

Read More..

The Best Social Media Reactions and Memes at the 2021 Met Gala – Yahoo Lifestyle

On Monday, "America" happened at the Met Gala. Well, specifically, the theme was "American Independence" but considering the wide array of outfits, we're going to shorten it to "America" and hope that captures the general essence of the evening. The assignment, as it was loosely described, was supposed to be a nod to American fashion. If you wanted bonus points, you could highlight the political and social justice issues that have inspired designers in recent years. Or, perhaps, you could come to the Gala as a dementor.

But when you shorten the theme down to "America" and then use your imagination, everyone kind of nailed it. Lil Nas X's outfit (three layers deep, mind you) could have been honoring to famed golden boy, C3PO. Frank Ocean honored our love of aliens? Robots? Babies? ASAP Rocky highlighted the American maxim of staying warm on your way to the kitchen for some 3 a.m. water. Listen, I don't know if any of those comparisons are real, but that's half the fun of judging the Met Gala from home.

Maybe that is the real tradition here. As megawatt celebrities walk the red carpet in avant garde outfits by high-end designers, the good people of the internet are left with the task of making the best jokes about it. How are you going to wear a horse dress to the 2021 Met Gala and not expect a good ol' Ivermectin joke? Below are the best of the crop: from the complete confusion of how to execute the theme to a much beloved Snooki reference.

Stay fancy, America. And tax the rich.

You Might Also Like

Read more:
The Best Social Media Reactions and Memes at the 2021 Met Gala - Yahoo Lifestyle

Read More..

Researchers lay the groundwork for an AI hive mind – The Next Web

Intels AI division is one of the unsung heroes of the modern machine-learning movement. Its talented researchers have advanced the state of AI chips, neuromorphic computing, and deep learning. And now theyre turning their sights on the unholy grail of AI: the hive mind.

Okay, that might be a tad dramatic. But every great science fiction horror story has to start somewhere.

And Intels amazing advances in the area of multiagent evolutionary reinforcement learning (MERL) could make a great origin story for the Borg a sentient AI that assimilates organic species into its hive mind, from Star Trek.

MERL, aside from being a great name for a fiddle player, is Intels new method for teaching machines how to collaborate.

Per an Intel press release:

Weve developed MERL, a scalable, data-efficient method for training a team of agents to jointly solve a coordination task. A set of agents is represented as a multi-headed neural network with a common trunk. We split the learning objective into two optimization processes that operate simultaneously.

The new system is complex and involves novel machine-learning techniques, but the basic ideas behind it are actually fairly intuitive.

AI systems dont have what the French call une raison dexister. In order for a machine to do something, it needs to be told what to do.

But, often, we want AI systems to do things without being told what to do. The whole point of a machine learning paradigm is to get the machine to figure things out for itself.

However, you still need to make the AI learn the stuff you want it to and forget everything else.

For example, if youre trying to teach a robot to walk you want it to remember how to move its legs in tandem and forget about trying to solve the problem by hopping on one foot.

This is accomplished through reinforcement learning, the RL in MERL. Researchers tweak the AIs training paradigm to ensure its rewarded whenever it accomplishes a goal, thus keeping the machine on task.

If you think about AI in the traditional sense, it works a lot like a single agent (basically, one robot brain) trying to solve a giant problem on its own.

So, for an AI brain responsible for making a robot walk, the AI has to figure out balance, kinetic energy, resistance, and what the exact limits of its physical parts are. This is not only time-consuming often requiring hundreds of millions of iterative attempts but its also expensive.

Intels MERL system allows multiple agents (more than one AI brain) to attack a larger problem by breaking it down into individual tasks that can then be handled by individual agents. The agents collaborate in order to speed up learning across each task. Once the individual agents train up on their tasks, a control agent utilizes the sum of training to organize a method by which the entire goal is accomplished in our example, making a robot walk.

If this system was people instead of AI, itd be like the hit 1980s cartoon Voltron, where individual pilots fly individual vehicles but they come together to form a giant robot thats more powerful than the sum of its parts.

But since were talking about AI, its probably more helpful to view it more like the aforementioned Borg. Instead of a single AI brain controlling all the action, MERL gives AI the ability to form a sort of brain network.

One might even be tempted to call it a non-sentient hive mind.

Follow this link:
Researchers lay the groundwork for an AI hive mind - The Next Web

Read More..

Infinite Memory Transformer: Attending to Arbitrarily Long Contexts Without Increasing Computation Burden – Synced

When reading a novel, humans naturally remember relevant plot information even if it was presented many chapters earlier. Although todays transformer-based language models have made impressive progress in natural language processing, they struggle in this regard, as the compute required for modelling long-term memories grows quadratically with the length of the text and will eventually exceed the models finite memory capacity.

To overcome this limitation, a research team from Instituto de Telecomunicaes, DeepMind, Institute of Systems and Robotics, Instituto Superior Tcnico and Unbabel has proposed -former (infinite former) a transformer model equipped with unbounded long-term memory (LTM) that enables it to attend to arbitrarily long contexts.

The team summarizes their studys contributions as:

The team extends the vanilla transformer with a continuous LTM to enable their proposed -former to access long-range context. The novel approach employs a continuous space attention framework to attend over the LTM signal, in which key matrix size depends on the number of basis functions instead of the length of the context being attended to. The models computation complexity is thus rendered independent of context length, enabling it to attend to arbitrarily long contexts without increasing memory requirements or computation burden.

To evaluate their proposed method, the researchers performed extensive experiments on synthetic task and language modelling tasks, using transformer-XL and the compressive transformer as their baselines.

In the synthetic task experiments, transformerXL achieved slightly better performance than the compressive transformer and -former for short memory length, but its accuracy degraded rapidly when the sequence length was increased. The accuracies for both the compressive transformer and -former meanwhile remained relatively stable. In the language modelling experiments, the -former slightly outperformed the compressive transformer.

The researchers also note -formers ability to reduce perplexity in a pretrained model such as GPT-2 by helping the model focus on relevant memories.

Overall, the study shows the proposed -former can scale up to long sequences while maintaining high accuracy, and demonstrates the versatility and benefits of unbounded long-term memory, both in model training from scratch and in the fine-tuning of pretrained language models.

The paper -former: Infinite Memory Transformer is on arXiv.

Author: Hecate He |Editor: Michael Sarazen, Chain Zhang

We know you dont want to miss any news or research breakthroughs.Subscribe to our popular newsletterSynced Global AI Weeklyto get weekly AI updates.

Like Loading...

Follow this link:
Infinite Memory Transformer: Attending to Arbitrarily Long Contexts Without Increasing Computation Burden - Synced

Read More..

It takes a village: how Asics got a small town to lace up and raise money for Mind UK – The Drum

Building on its commitment to help customers improve their mental health through movement, Asics has partnered with mental health charity Mind to realize its ambition of lifting the mood of an entire town. As part of our Experienital Marketing Deep Dive, The Drum caught up with executive vice-president Gary Raucher to find out what he hopes the legacy of its attempt will be.

When the Covid-19 pandemic caused Asics to revisit its founding principle of healthy body, healthy mind, the sports brand turned to its customers to fuel its research into the power of movement on mental wellbeing.

Partnering with Mind UK, the brand will be hosting a unique day of activity in a small town in England in the hopes of getting the community moving and gaining insights into its impact through the use of its Mind Uplifter Tool.

To discern where its event would be most impactful, Asics commissioned a survey by BF Media to discern an area of the UK most motivated to improve its mental wellbeing through movement.

All surveys were conducted between May 10 and May 27 2021. The sample comprised 6,474 adults from 40 English counties, with a minimum of 150 respondents from each county. Participants were asked to score themselves out of 100 (0 being the lowest and 100 the highest) across 10 emotional (feeling composed, relaxed, positive, content, confident and resilient) and cognitive (feeling alert, calm, focused and energized) traits.

Following the research, the Asics State-of-Mind Index identified Nottinghamshire as the English county that most wanted a mental uplift (80%), with the small town of Retford being reported as one of the most motivated to improve their emotional and mental wellbeing.

We were looking for a willingness to participate alongside a desire for an uplift, explains Asics executive vice-president Gary Raucher.

On the day of the experiment, which will take place on September 25, residents of the town of Retford will be invited to partake in a series of movement initiatives and measure the collective impact on their mental wellbeing. Dr Brendon Stubbs a leading expert on movement and mental health is overseeing the experiment having helped design the events of the day.

Well be transforming the streets into a movement-inspired gym, says Raucher. People can register ahead of time in order to be assigned a time slot and go around the course in small groups.

The circuit itself is about a mile long, so its very accessible and all along the course there will be different stops where people can get involved in various exercises.

Raucher adds that alongside aiming to be accessible, the day also aims to line up with necessary Covid restrictions and concerns over the Delta variant of the virus.

What is critically important is the health and safety and well being of all participants and wed absolutely have protocols in place to ensure that were aligned with the latest governmental suggestions as well as regulations.

However, Raucher says that organizers have tried to make the event fun and memorable by incorporating the town as much as possible. The bus stop has become a bus start and the River Idle that runs through Retford has become the River Lively.

Asics sports ambassadors will also be present on the day and Raucher pledges there are plenty of surprises in store.

Not only do we hope that by participating in movement well be able to demonstrate the uplifting power of sport and the role that athletes can play in that, but were hoping that, in general, people will look back and say that theyve had a great experience, while perhaps most importantly we also want to make a lasting impact, so were in discussions with the council about sort of the legacy that we can leave behind.

Elaborating on the legacy Asics hopes for, Raucher explains it will leave behind an infrastructure both physically and mentally that will encourage the local community to keep moving, even after evening falls on the event.

We know that there are some tennis courts and also a running track that is in need of some repair, so were working with the council to really make sure that this isnt just a one off event, but that were making a commitment to helping people uplift their minds on an ongoing basis.

Back in July, to coincide with the launch of its Mind Uplifter Tool, Asics was already getting involved in local communities to encourage its uptake, such as setting up local running clubs near its store locations.

This allows us to have localized insights into what additional activities we could be setting up we have sports marketing assets, ambassadors, coaches and trainers that we can encourage to engage with local communities to encourage people to be active, Raucher said at the time.

Uptake of the Mind Uplifter Tool will be encouraged in Retford on September 25, as once a participant has registered a Mind Uplift via the tool their individual data will be combined with results across the town in order to demonstrate the uplift that movement can have on the mood of the whole town.

Every participant who captures a Mind Uplift on the day will raise funds for Minds work across the country, supporting the charitys commitment to fight for better mental health.

Raucher concludes: The last 18 months have been tough on peoples mental wellbeing, but we know exercise can be a positive source of energy. Asics has always believed that exercise is not only good for the body, but also for the mind. Now, we aim to demonstrate our brand belief in action by seeing if movement can uplift the mood of a whole town. We hope residents of Retford will lace up and be part of this unique experiment to raise spirits and raise funds for Mind.

From festivals to retail installations to unmissable activations, we examine the avenues open to marketers to reach consumers enjoying their newfound freedom in The Drums Experiential Deep Dive.

Continue reading here:
It takes a village: how Asics got a small town to lace up and raise money for Mind UK - The Drum

Read More..

EY study deep dives into financial protection gap – Insurance Business

Financial vulnerability and health-related concerns are more prevalent among young consumers in emerging market countries, spurring an increased desire for insurance protection, according to the EY Global Insurance Consumer Survey. The survey polled 4,200 consumers in seven countries across Africa, Asia, North America and South America.

The research explores the growing protection gap between consumers in emerging markets and consumers in developed markets. It also offers insights into how the COVID-19 pandemic has impacted consumers financial risks, vulnerabilities and needs regarding insurance preferences.

The survey found that consumers in emerging markets experienced more financial impact from the pandemic than those in developed markets. Seventy-eight per cent (78%) of emerging-market consumers had to dip into their savings, 61% lost income and 54% had to skip some bills or payments, compared to 33%, 30% and 22%, respectively, in developed markets. In addition, vaccination rates in emerging markets are considerably lower, and concerns about losing a loved one and financial wellbeing are considerably higher.

The demographic breakdown of consumers in each market plays a role in how the pandemic impacts financial stability, EY said. Consumers in emerging markets are younger (75% are under the age of 44, and only 3% are retired) and often lack a comfortable financial cushion and certain insurance coverages. For example, only 10% have $100,000 or more in investable assets, compared to 37% in developed markets. Only 56% of emerging-market consumers have coverage for their home, compared to 88% in developed markets.

Insurers have an important role to play in protecting those that need it most, said Fayez Jaffer, EY Americas insurance product innovation leader. They must start by building trust through personal connection and empathy to deeply understand their clients personal and financial goals. Connecting with customers on a human level especially across digital channels, which younger consumers prefer is imperative to meet the evolving needs of their clients, improve financial wellbeing and build sustainable relationships long-term.

Emerging-market consumers have a strong appetite for purchasing insurance products, EY found. Consumers in both emerging and developed markets expressed interest in short-term products like insurance that funds college education plans or pays for credit card bills in the event of a job loss. However, among all eight products proposed in EYs survey, the appetite for purchasing a product was nearly twice as high among emerging-market consumers.

The survey also found that corporate social responsibility (CSR) plays a significant role in purchasing decisions in emerging markets. The pandemic, along with other events in the last year, has increased consumer interest in CSR and raised expectations about how corporations contribute to society. Fifty-nine per cent (59%) of consumers overall know their insurers CSR stance at least somewhat well, EY found and consumers in emerging markets are more aware of social commitments. A quarter of survey respondents said they had chosen one insurance brand over another due to its CSR reputation.

Social responsibility and purpose continue to remain top of mind for consumers, so its important for insurers to demonstrate their commitment to these issues, said Bernhard Klein Wassink, global insurance customer and growth offering leader at EY. Now more than ever, insurers should focus on bringing these issues to the forefront of their products and services to help with financial and social recovery efforts, especially for those who are most vulnerable in the uncertain environment.

Read this article:
EY study deep dives into financial protection gap - Insurance Business

Read More..

Peptone: Putting molecular physics at the heart of UK’s next billion-pound pharma company – Yahoo Money

Peptone is using science to build the worlds first protein engineering operating system, combining AI with computational molecular physics. Above, a 3D illustration of proteins. Photo: Getty

Life comes at you fast. At one point Peptone, a computational biophysics company, had been rejected by more than 150 investors. Now, it regularly receives approaches and buyout offers from big, institutional names.

The aim of founders Dr Kamil Tamiola and Dr Matthew Heberling is to build better drugs and change the standard of healthcare through translating the physics of complex proteins that dictate how the human body and other materials function.

This idea a new theory of making drugs has led them to be tipped by others in the market as the UK's next potential billion pound company.

Peptone is using science to build the worlds first protein engineering operating system, combining AI with computational molecular physics.

The "protein drug discovery engine" enables an automated search for non-obvious protein variants with desirable therapeutic properties and cost-effective manufacturability. The technology is already being used in a variety of pre-clinical and late-stage protein therapeutics programmes.

Instead of going after all of these typical things that pharmaceutical companies do, we can go upstream with these molecules and target the very beginning of a cascade of terrible things that cause your body to react to something. That is the superpower we have, says Tamiola.

For the last 50 years, scientists have believed that for proteins to have a function in human cells they need to have a structure and to be folded. Google DeepMind's AI tool AlphaFold, was considered to be a giant leap towards determining a proteins 3D shape from its amino-acid sequence.

Read more: Swiss clean energy firm lists on NYSE via SPAC deal

Peptone is coming at this problem from a different angle.

There are a large portion of proteins in your body that have no structure, but are still biologically relevant, says Tamiola.

These have, so far, been very difficult to study. The companys mission is to make this process easier and understand how these types of proteins behave in life-changing diseases and drugs, not just their structure.

Story continues

Proteins without a structure are particularly interesting in terms of how inflammatory diseases, such as asthma or an allergic reaction, affect the body, says Tamiola.

Combining physics, supercomputing and AI, Peptone's systems can comb through data from drug trials and work out exactly where something went wrong mistakes are often the result of an anomaly in a protein. Doing this can help stop pharmaceutical companies from making the same mistake twice or even resurrect a drug that had been discounted as not working.

Our dream is to build a sustainable company that brings a product to the market as an approved drug, says Tamiola.

Read more: IPO Watch: How to spot a unicorn

Peptone raised $2.5m (1.8m) from venture capitalists Hoxton Ventures seven months ago, from Hoxton's second fund. Four weeks after the initial fundraise the company produced data that showed their product actually works. Months on, the supercomputers are producing even more accurate data than the previous developments suggested.

It has become evident that we have a fair chance of becoming a pharma company on our own, says Tamiola.

The money raised so far is being used to build a lab in Switzerland, hire staff and eventually will buy new computers to develop proprietary experimental techniques. Peptone's long-term aim is to be able to conduct clinical trials off its own back.

Peptone co-founders Dr Kamil Tamiola and Dr Matthew Heberling. Photo: Peptone

We are professional daydreamers. We think, conceive of things in our head and are patient. People think we are nuts, but you build something and wait 25 years and you discover something like the Higgs boson, or you send someone to the moon, says Tamiola.

This is a very different approach from the rest of the people in the market. Were not looking for instant gratification.

Another thing Tamiola also does differently to other company founders if you're lucky he might play you a Bach prelude on the piano during a business development meeting. He has used time at home during the pandemic both to build the company and hone his performance of Baroque music, a skill he has used to woo potential funders alongside pitching supercomputers and drug development methods.

Peptone is wading into a market with a lot of cash up for grabs. According to Statista, as of end-2020, the total global pharmaceutical market was valued at about $1.27tn. This is a significant increase from 2001 when the market was valued at just $390bn.

As for competition, another company in this field, going after what Tamiola calls intrinsically disordered proteins, is New Equilibrium Biosciences. This company is run by Dr Virginia Burger and was founded in 2019 to discover drugs to fight cancers and neurodegenerative disorders.

Since the first fundraising round, Peptone has opened a series A fundraising round, which is currently oversubscribed.

Read more: UK M&A deals continue to rebound after pandemic

The startup has also already announced a collaboration with Nvidia (NVDA) to scale in order to meet increasing demand from the protein therapeutics market and has multiple other collaborations in the pipeline.

The founders say that to complete its mission to bring new, innovative drugs to the market, it is open to many different paths be that through an IPO or SPAC deal or a merger.

And its not just the world of pharma this new technology could help to change. The application of the problem that we are addressing goes far beyond just making drugs, says Tamiola.

Peptone could potentially use the technology to make a product that helps heal wounds, create a novel form of a detergent or washing powder that is biodegradable or use it in diagnostic blood testing.

Tamiola says that the general theme of the collaborations the company has been approached about so far concern the sustainability of goods.

Original post:
Peptone: Putting molecular physics at the heart of UK's next billion-pound pharma company - Yahoo Money

Read More..

AI, machine learning will change the way we live – The Hindu

Artificial Intelligence (AI) and Machine Learning (ML) will change the way we live, and virtual cloud-enabled seamless data connectivity would usher in a digital revolution by 2040, said D. Narayana Rao, Pro-Vice Chancellor of SRM University.

A senior scientist in the field of Atmospheric Science Research and Radar Technology and former Director, National Atmospheric Research Laboratory, Dr. Narayana Rao said that just as the world has seen revolutionary changes between 2000 and 2020, current technologies would become obsolete by the year 2040.

AI and MI are some of the future technologies that are going to shape our lives in the next two decades, Dr. Narayana Rao said during the celebrations of Engineers Day on September 15, held to mark the birth anniversary of Bharat Ratna Mokshagundam Visvesvaraya.

Data and information will be available virtually as air. Everything on the go will take on a literal meaning and the word connect will be meaningless for most of our gadgets. Data will just move seamlessly whether you are in an elevator, car or an aeroplane, he said.

AI and ML will make us believe that the world revolves around us. As we talk, discuss, act, AI will surround us with actions and suggestions and actionable inputs at a wink. AI will resemble Real Intelligence (RI). Driverless and automated intelligent cars will move around by themselves and self-park. Peoples job profiles will change. They will need to work less and most routine and hazardous work will be carried out by robots. Typing on gadgets will be redundant and will be replaced by voice commands, gestures and even thought controls. Natural Language Processing (NLP) will remove the language barriers in trade and travel. NLP will do the translation of spoken language and will ensure a global world, Dr. Narayana Rao said.

Space tourism will turn from fantasy into a reality. Holiday tours to Switzerland, Bali, and Seychelles will be replaced by tours to Venus, Mars and the moon, he said, adding that 3D printing technology will be used to construct buildings, structures and several products within a few hours/days which presently takes months and years to do.

When our country became independent, India was the poorest of the poor countries with a literacy rate of just around 12% and a life expectancy of 32 years. Today, in 70 years, India has become one of the top five economies in the world. What made this remarkable transformation possible was the application of science and technology in building the nation, Dr. Narayana Rao said.

Originally posted here:
AI, machine learning will change the way we live - The Hindu

Read More..

UI professor uses machine learning to indicate a body shape-income relationship – UI The Daily Iowan

University of Iowa professor Suyong Song and University of Virginia professor Steven Baek used old Air Force data to analyze the correlation between physical attractiveness and family income.

New research conducted by a professor in the University of Iowa Tippie College of Business shows evidence of a beauty premium, where someone who is more physically attractive based on modern beauty standards is paid more.

Professor of Economics Suyong Songs study used data from 20-year-old research conducted by the U.S. Air Force, which included a socioeconomic survey and 3D full-body scans to gather precise measurements from participants.

Song said stature, or height, was positively correlated with family income for males. There was a negative correlation between obesity and family income for females, he said. The study maintained factors such as occupation, education level, and location of participants to ensure accurate results.

The data indicates a beauty premium, Song said, where someone who is more physically attractive based on modern beauty standards is paid more. When two individuals share the same abilities or level of education, he said the taller male makes an estimated $998 more on average annually than the shorter male.

For females, Song said a female with a smaller Body Mass Index would end up with a higher family income compared to a more overweight coworker by more than $930 annually. Both correlations were discovered in families that earn $70,000 per year.

Song said these characteristics height and obesity level were shared between both male and female data, but female hip-to-waist ratio emerged as a third important feature correlated with family income.

The Air Force data was collected during the Air Forces Civilian American and European Surface Anthropometry Resource project from participants in North America, Italy, and the Netherlands.

Song said traditional studies of the beauty premium rely on self-reported measurements, which could create reporting errors.

Instead of relying on surveyed, individual appearances, we can utilize this measured, three-dimensional scan data, Song said. We kind of resolve the issue of the reporting error in the existing literature.

Steven Baek, an associate professor of data science at the University of Virginia and founder of the UI Visual Intelligence Laboratory, partnered with Song on the research study.

Baek said the research was unique because the 3D scans provided more than 100,000 data points across each participants body. To analyze this unique amount of data, Baek and Song used machine-learning technology.

The role of technology was essentially to enable more accurate quantification, more accurate representation of human body shape using the tools of machine-learning, Baek said.

The algorithm, he said, was responsible for creating its own ways of describing the body shapes of the participants, to remove researcher subjectivity from the equation.

Song said in more traditional studies of the beauty premium, researchers delivered very subjective evaluations of someones beauty based on survey questions about attractive facial or physical beauty.

The machine-learning technology helped Song and Baek compress and analyze a massive amount of extremely accurate data, Baek said.

Song said he believes more workplace awareness and education about the beauty premium could help to alleviate the correlation between physical attractiveness and family income that the study details. He said interviews conducted over the phone or virtually could help reduce the correlation, but wouldnt entirely solve the problem.

You cant tell Im six feet tall through this virtual interview, Song said in a phone interview with The Daily Iowan. [Through] this kind of virtual setting or phone call setting, we can have partially reduced implicit bias in the hiring process. Its not perfect either, because the hiring process is not the only reason why we have this beauty premium.

Dana Dominguez, the associate director of operations and communication at the UIs Pomerantz Career Center, wrote they hired a new staff member in August whose role is to work with employers on increasing awareness of disparities such as the beauty premium.

She said the center has also been involved in helping their employer partners recognize and learn from statistics and research about these biases.

Dominguez wrote in an email to the DIthat the center is working to educate organizations on bias in recruitment, hiring, and other important decisions in the workplace, and ultimately reduce the gaps and disparities that may be present within their own organizations.

Baek said given the complexity of this issue, there is no single solution that exists. The first step is to recognize and understand that there is this income disparity between more physically attractive and less physically attractive individuals, he said.

I dont believe that my mission is to provide the solutions, Baek said. But rather, its more on raising the issue and throwing out questions to policy-makers and corporate leadership, so that they can start thinking about what changes to make.

Excerpt from:
UI professor uses machine learning to indicate a body shape-income relationship - UI The Daily Iowan

Read More..

Machine Learning as a Service (MLaaS) Market Big Things Are Happening In Technology and Media Industry up to 2031 – Digital Journal

Pune, Maharashtra, India, September 15 2021 (Wiredrelease) Prudour Pvt. Ltd :Machine Learning as a Service (MLaaS) Market (News 2021) Entry, Expansion, and Business Strategies Forecasts By 2031, issued by Market.us is a globally trusted and knowledge base firm in the market. As it presents an encyclopedic market size outline and alternative in-depth market description features like market growth-supporting factors, controlling factors, trends, opportunities, market risk factors, forward-looking Machine Learning as a Service (MLaaS) market view competition, product and services advancements, and launches, product/services connected rules review, and up to date developments for the mentioned forecast amount.

Additionally, the report provides a key examination of market players operative within the specific Machine Learning as a Service (MLaaS) market 2021 and analysis and outcomes connected with the target marketplace. The report covers a brief on these trends that can benefit the manufacturers working in the industry to understand the Machine Learning as a Service (MLaaS) market and strategist for their business expansion accordingly. The Machine Learning as a Service (MLaaS) research report analyzes the market size, business share, growth, essential segments, CAGR, and key drivers.

The industry experts have identified the major factors impacting the development rate of the Machine Learning as a Service (MLaaS) industry including various opportunities and gaps. A thorough analysis of the Machine Learning as a Service (MLaaS) markets with regards to the growth trends in each category makes the overall study interesting. When studying the Machine Learning as a Service (MLaaS) market the researchers also dig deep into their future prospect and contribution to the Machine Learning as a Service (MLaaS) industry. Moreover, the research report assessed market key players and features such as capacity utilization rate, consisting of revenue.

Know more about the global trends impacting the future, download a PDF sample:https://market.us/report/machine-learning-as-a-service-mlaas-market/request-sample/

The analysis objectives of the report are:

1. To research and forecast the size of Machine Learning as a Service (MLaaS) industry in the global sector.

2. To evaluate the major global players, PESTEL analysis, dignity, and global Machine Learning as a Service (MLaaS) market share for major players.

3. To determine, illuminate and predict the industry by type, end-use, and also geography.

4. Investigate and analyze global Machine Learning as a Service (MLaaS) industrial status and forecast including key regions.

5. To find out which major global regions have further benefits and potential, challenges and opportunities, obstacles and dangers.

6. To determine important trends and Machine Learning as a Service (MLaaS) factors driving the development of the sector.

7. Review the market opportunities for stakeholders by identifying the higher growth sections.

8. To analyze each Machine Learning as a Service (MLaaS) market segment related to the individual expansion trend and their participation in the market.

9. To analyze competitive developments, for example, extensions, arrangements, new product launches, and market acquisitions.

10. Profile the Machine Learning as a Service (MLaaS) key players and analyze their growth plans.

Planning to lay down future strategy? speak with a market.us analyst to learn [emailprotected]https://market.us/report/machine-learning-as-a-service-mlaas-market/#inquiry

Scale and share of Machine Learning as a Service (MLaaS) Market Analysis:

Evaluation of Dominant Market 2021 Players:

Google, IBM Corporation, Microsoft Corporation, Amazon Web Services, BigML, FICO, Yottamine Analytics, Ersatz Labs, Predictron Labs, H2O.ai, AT and T, Sift Science

Machine Learning as a Service (MLaaS) Market Segment By Types, Estimates and Forecast by 2031

Software Tools, Cloud and Web-based Application Programming Interface (APIs), Other

Machine Learning as a Service (MLaaS) Market Segment By Applications, Estimates and Forecastby 2031

Manufacturing, Retail, Healthcare and Life Sciences, Telecom, BFSI, Other (Energy and Utilities, Education, Government)

In this study, the years considered to estimate the market size of Machine Learning as a Service (MLaaS) 2021 are as follows:

Historic Year: 2015-2020

Base Year: 2021

Forecast Year: 2022-2031

Geographically, the market has been bifurcated into four major regions, which covers

Europe (Germany, France, UK, Italy, Russia, Spain)

Americas (United States, Canada, Mexico, Brazil)

Middle East & Africa (Egypt, South Africa, Israel, Turkey, GCC Countries)

APAC (China, Japan, Korea, Southeast Asia, India, Australia)

Recommended reading, new updates ofMachine Learning as a Service (MLaaS)[emailprotected]https://market.us/report/machine-learning-as-a-service-mlaas-market/

Key Reasons toInvest in Machine Learning as a Service (MLaaS) Market Report:

1. To provide the complete structure and fundamental overview of Machine Learning as a Service (MLaaS) Industry Market.

2. To offer insights into vital Machine Learning as a Service (MLaaS) aspects like growth trajectory, CAGR value, market share, and revenue analysis.

3. To evaluate the growth opportunities, threats, market drivers, and risks involved.

4. To understand the global Machine Learning as a Service (MLaaS) market competition by analyzing the top business people, with their market profile, import-export details, revenue, profits, and market share.

5. To represent the pricing structure, import-export details, supply chain analysis, SWOT analysis to facilitate the key decision-making process.

6. To promote the ultimate growth, investment analysis, and upcoming growth opportunities with the analysis of emerging Machine Learning as a Service (MLaaS) market segments and sub-segments.

7. To understand the knowledge sources, intended research methodology, and important conclusions.

(FAQ) Questions answered in this research report:

1. What are the country revenue and forecast breakdowns? Which are the major country revenue pockets for growth in the Machine Learning as a Service (MLaaS) market?

2. At what pace is the Machine Learning as a Service (MLaaS) market growing, globally? What will be a growing trend in the future?

3. What are the various application areas and how they are poised to grow?

4. Who are the top 5 market key players?

5. What are the key drivers and inhibitors in the current market? What will be the impact of drivers and inhibitors in the future?

6. How is the market predicted to develop in the future?

To boost your business, read tech market reports news [emailprotected]https://techmarketreports.com/news/

Note: If you have any special requirements, please let us know and we will offer you the report as you want.

Media Contact

Company Name:Market.us(Powered By Prudour Pvt. Ltd.)

Contact Person: Lawrence John

Email:[emailprotected]

Phone: +1 718 618 4351

Address: 420 Lexington Avenue, Suite 300 New York City, NY 10170, United States

Connect with us atLinkedIn|Facebook|Twitter

Explore ourtop report from trusted publications

Automotive Exhaust Gas Recirculation Systems Market Size Advanced Technologies & Growth Opportunities In Global Industry By 2031

Vehicle Motors Market to Witness Regular Growth Throughout 2022-2031

Vacuum Filtration Equipment Market 2021 Business Challenges, Enterprise Overview and Forecast Analysis Examine 2031

Water Fire Extinguishers Market Efficiency Evaluation by Covid-19 Impression Perspective with Element Forecast by 2031

Portable Dissolved Oxygen Meter Market Pattern Evaluation and Main Elements Forecast Report until 2031

Plating Lines Market Report By Growth Enablers, Geography, Restraints And Trends Global Forecast To 2031

Flat Slings Market To Showcase An Annual Healthy Growth Rate Over 2021-2031

Portable Generator Set Market By Latest Trend, Growing Demand And Technology Advancement 2021-2031

Underground Mining Machinery Market With (COVID-19) Affect Evaluation, Trade Demand, Developments, Forecast To 2031

This content has been published by Prudour Pvt. Ltd company. The WiredRelease News Department was not involved in the creation of this content. For press release service enquiry, please reach us at [emailprotected].

Read more here:
Machine Learning as a Service (MLaaS) Market Big Things Are Happening In Technology and Media Industry up to 2031 - Digital Journal

Read More..