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Google to Make Chrome ‘More Helpful’ With New Machine Learning Additions – ExtremeTech

This site may earn affiliate commissions from the links on this page. Terms of use. (Photo: PCMag)In a new blog post, Google says its going to be bringing new features to Chrome via on device machine learning (ML). The goal is to improve the browsing experience, and to do so its adding several new ML models that will focus on different tasks. Googles says itll begin addressing how web notifications are handled, and that it also has ideas for an adaptive tool bar. These new features will lead to a safer, more accessible and more personalized browsing experience according to Google. Also, since the models run (and stay) on your device instead of in the cloud, its theoretically better for your privacy.

First theres web notifications, which we take to mean this kind of stuff. Things like sign up for our newsletter, for example. Google says these are update from sites you care about, but adds that too many of them are a nuisance. It says in an upcoming version of Chrome, the on-device ML will examine how you interact with notifications. If it finds you are denying permission to certain types of notification requests, it will silence similar ones in the future. If a notification is silenced automatically, Chrome will still add a notification for it, shown below. This would seemingly allow you to override Googles prediction.

Google also wants Chrome to change what the tool bar does based on your past behavior. For example, it says some people like to use voice search in the morning on their train commute (this person sounds annoying). Other people routinely share links. In both of these situations, Chrome would anticipate your needs and add either a microphone button or share icon in the tool bar, making the process easier. Youll be able to customize it manually as well. The screenshots provided note theyre from Chrome on Android. Its unclear if this functionality will appear on other platforms.

In addition to these new features, Google is also touting the work machine learning is already doing for Chrome users. For example, when you arrive at a web page its scanned and compared to a database of known phishing/malicious sites. If theres a match it gives you a warning, and youve probably seen this once or twice already. Its a full-page, all-red page block, so youd know it if youve seen it. Google says it rolled out new ML models in March of this year that increased the number of malicious sites it could detect by 2.5X.

Google doesnt specify when these new features will launch, nor does it say if they will be mobile-only. All we know is the silence notifications will appear in the next release of Chrome. According to our browser, version 102 is the current one. For the adaptive tool bar, it says that will arrive in the near future. Its also unclear if running these models on-device will incur some type of performance hit.

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Machine learning-led decarbonisation platform Ecolibrium launches in the UK – PR Newswire

Founded in 2008 by entrepreneur brothers Chintan and Harit Soni at IIM Ahmedabad's Centre for Innovation, Incubation and Entrepreneurship in India, Ecolibrium provides expert advisory as well as technology-driven sustainability solutions to enable businesses in commercial and industrial real estate to reduce energy consumption and ultimately achieve their net zero carbon ambitions.

Relocating its global headquarters to London, Ecolibrium has raised $5m in a pre-Series A funding round as it looks to expand its international footprint to the UK. The round was co-led by Amit Bhatia's Swordfish Investments and Shravin Bharti Mittal's Unbound venture capital firm, alongside several strategic investors.

Ecolibrium launches in the UK today having already signed its first commercial contract with Integral, JLL's UK engineering and facilities service business.

The fundraising and UK expansion builds on Ecolibrium's considerable success in Asia Pacific, where its technology is being used across 50 million sq ft by more than 150 companies including Amazon, Fiat, Honeywell, Thomson Reuters, Tata Power, and the Delhi Metro. An annual reduction of 5-15% in carbon footprint has been achieved to date by companies which have deployed Ecolibrium's technology.

Ecolibrium has also strengthened its senior UK management team, as it prepares to roll-out its green platform across the UK, by hiring facilities and asset management veteran Yash Kapila as its new head of commercial real estate. Kapila previously held senior leadership positions with JLL across APAC and EMEA regions.

Introducing SmartSense

At the heart of Ecolibrium's offer is its sustainability-led technology product SmartSense, which assimilates thousands of internet of things (IoT) data points from across a facility's entire energy infrastructure.

This information is then channelled through Ecolibrium's proprietary machine learning algorithms, which have been developed over 10 years by their in-house subject matter experts. Customers can visualise the data through a bespoke user interface that provides actionable insights and a blueprint for achieving operational excellence, sustainability targets, and healthy buildings.

This connected infrastructure generates a granular view of an asset's carbon footprint, unlocking inefficiencies and empowering smart decision-making, while driving a programme of continuous improvement to deliver empirical and tangible sustainability and productivity gains.

Preparing for future regulation

Quality environmental data and proof points are also providing a distinct business advantage at this time of increasing regulatory requirements that require corporates to disclose ESG and sustainability performance. Ecolibrium will work closely with customers to lead the way in shaping their ESG governance.

According to Deloitte, with a minimum Grade B Energy Performance Certification (EPC) requirement anticipated by 2030, 80% of London office stock will need to be upgraded an equivalent of 15 million sq ft per annum.

Research from the World Economic Forumhas found that the built environment is responsible for 40% of global energy consumption and 33% of greenhouse gas emissions, with one-fifth of the world's largest 2,000 companies adopting net zero strategies by 2050 or earlier. Technology holds the key to meeting this challenge, with Ecolibrium and other sustainability-focused changemakers leading the decarbonisation drive.

Chintan Soni, Chief Executive Officer at Ecolibrium, said:"Our mission is to create a balance between people, planet and profit and our technology addresses each of these objectives, leading businesses to sustainable prosperity. There is no doubt the world is facing a climate emergency, and we must act now to decarbonise and protect our planet for future generations.

"By using our proprietary machine learning-led technology and deep in-house expertise, Ecolibrium can help commercial and industrial real estate owners to deliver against ESG objectives, as companies awaken to the fact that urgent action must be taken to reduce emissions and achieve net zero carbon targets in the built environment.

"Our goal is to partner with companies and coach them to work smarter, make critical decisions more quickly and consume less. And, by doing this at scale, Ecolibrium will make a significant impact on the carbon footprint of commercial and industrial assets, globally."

The UK expansion has been supported by the Department for International Trade's Global Entrepreneur Programme. The programme has provided invaluable assistance in setting up Ecolibrium's London headquarters and scaling in the UK market.

In turn, Ecolibrium is supporting the growth of UK innovation, promoting green job creation, and providing tangible economic benefits, as part of the country's wider transition to a more sustainable future.

Minister for Investment Lord Grimstone said: "Tackling climate change is crucial in our quest for a cleaner and green future, something investment will play an important part in.

"That's why I'm pleased to see Ecolibrium's expansion to the UK. Not only will the investment provide a revolutionary sustainability solution to reduce carbon emissions across various sectors, it is a continued sign of the UK as a leading inward investment destination, with innovation and expertise in our arsenal".

About Ecolibrium

Ecolibrium is a machine learning-led decarbonisation platform balancing people, planet and profit to deliver sustainable prosperity for businesses.

Founded in 2008 by entrepreneur brothers Chintan and Harit Soni, Ecolibrium provides expert advisory as well as technology-driven sustainability solutions to enable commercial and industrial real estate owners to reduce energy consumption and ultimately achieve their net zero carbon ambitions.

Ecolibrium's flagship technology product SmartSense is currently being used across 50 million sq ft by more than 150 companies including JLL, Amazon, Fiat, Honeywell, Thomson Reuters, Tata Power, and the Delhi Metro. SmartSense collects real-time information on assets, operational data and critical metrics using internet of things (IoT) technology. This intelligence is then channelled through Ecolibrium's proprietary machine learning algorithms to visualise data and provide actionable insights to help companies make transformative changes to their sustainability goals.

For more information, visit: http://www.ecolibrium.io

For press enquiries, contact: FTI Consulting: [emailprotected], +44 (0) 2037271000

Photo -https://mma.prnewswire.com/media/1837227/Ecolibrium_Yash_Kapila_and_Chintan_Soni.jpg

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Can machine learning prolong the life of the ICE? – Automotive World

The automotive industry is steadily moving away from internal combustion engines (ICEs) in the wake of more stringent regulations. Some industry watchers regard electric vehicles (EVs) as the next step in vehicle development, despite high costs and infrastructural limitations in developing markets outside Europe and Asia. However, many markets remain deeply dependent on the conventional ICE vehicle. A 2020 study by Boston Consulting Group found that nearly 28% of ICE vehicles could still be on the road as late as 2035, while EVs may only account for 48% of vehicles registered on the road by this time as well.

If ICE vehicles are to remain compliant with ever more restrictive emissions regulations, they will require some enhancements and improvements. Enter Secondmind, a software and virtualisation company based in the UK. The company is employed by many mainstream manufacturers looking to reduce emissions from pre-existing ICEs without significant investment or development costs. Secondminds Managing Director, Gary Brotman, argues that software-based approaches are efficiently streamlining the process of vehicle development and could prolong the life of the ICE for some years to come.

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Teal Is Revolutionizing The Career Journey With Tech, AI And Machine Learning – Forbes

Teal members have found jobs with top companies, such as Google, Apple, TikTok, Spotify and Bumble.

The United States is heading into uncharted waters. After nearly two years of a steadily improving job market, better economy and optimism, it feels like America is losing some of the gains it has made. There have been a number of tech companiesranging from startups to big tech giants that have announced hiring freezes and layoffs. Its disconcerting that after talking about the Great Resignation and war for talent, workers are worried about holding onto their jobs.

On the positive side, there are still around 11.4 million jobs open, according to the U.S. Bureau of Labor Statistics. The Department of Labor also announced on Friday that the U.S. added 390,000 new jobs in May, and the unemployment rate is at 3.6%, a little higher than the 50-year low back in February 2020, prior to the pandemic.

Despite low unemployment and more jobs available than people to fill them, there are economic concerns. Runaway inflation, supply chain disruptions and the possibility of being sucked into a World War emanating from Russias invasion of Ukraine all create future uncertainty. When corporate executives are faced with the unknown, it's easier to hold off on doing anything, hunker down and wait for better clarity. This is the prime time when people need help and guidance.

Looking for a new job sometimes feels like a lonely pursuit. The companies have talent acquisition teams, the latest software, internal recruiters, human resources and a plethora of other personnel. You have to basically go it all alone. The matchup doesnt feel as if the odds are in your favor. However, there is a startup that can help level the playing field.

David Fano, founder and CEO of Teal, created a machine learning and AI- based careertech platform to help job seekers and people who want to advance their careers. Fano said, In the future of work, the employee is the enterprise."

As the head of a platform that offers the tech tools to empower people to take control over their career journey, the chief executive added, "Companies have HR teams, recruiters and sophisticated technology to manage their pipelines, but all that most job seekers have is a spreadsheet. Were leveling the playing field by building the infrastructure that helps people grow their careers with confidence.

To help professionals, Teal offers a free suite of web-based career tools.

To help professionals, Teal offers a free suite of web-based career tools. These features include a job tracker, rsum builder, Chrome extension and other tech tools. Members will receive prompts and guidance on the site to help with their career journey. There wont be any pushy salespeople, as the job seekers take control over their future.

More than 65,000 people have signed up to the program to help fast-track their careers. Fano shared that Teal members have found jobs with top companies, such as Google, Apple, TikTok, Spotify and Bumble.

Catherine Daneliak, a Teal member, said about her experience, Teal has brought all aspects of the job search together in one platform, which has enabled me to organize my job search and keep track of the status of each potential job.

Before Fano started Teal, he was on paternity leave when his then-employer, WeWork, conducted its first round of mass layoffs. At the time, Teal was an aspirational idea. Fano felt that he needed to help his former colleagues. Along with a group of ex-WeWorkers, Fano put together a career day. They offered free rsum reviews, networking opportunities and other career assistance.

He recognized that even experienced, knowledgeable professionals need resources to navigate layoffs and strategies on how to find a new job. Fano wrote in a LinkedIn post, For me, that was the big bang moment of why Teal needed to existto provide employees with the tools and infrastructure to take control of their careers. It was his big aha moment.

In light of the economic and geopolitical events that pushed both tech giants and startups to cut costs and enact hiring freezes, downsings and in the case of Coinbase, rescinding job offers, venture capital funding wont be as prolific for the foreseeable future. Teal fortunately raised a $6.3 million seed round before the window of opportunity started to close.

The latest funding will be used to develop Teals next phase of product initiatives. This will include a recommendations engine, matching members with relevant skills-based online courses to help them further their careers through upskilling and learning. The job hunters and career-focused individuals will be able to easily find and sign up to well-known online coursework with notable organizations, such as Coursera, General Assembly, Udemy and LinkedIn Learning.

"Teal is building the tools to help people navigate the future of work where career agility is more important than ever," said Jeff Rinehart, partner at City Light Capital and former chief marketing officer at 2U. We need a new category of technology that champions the candidatenot the companyempowering users to take control of their careers and develop the skills they need to excel long-term. Teals business model positions them to both do good and do well, and we couldnt be more excited to back them at this pivotal moment.

Teals seed round was led by City Light Capital with participation from Rethink Education, Human Ventures, Gaingels, Pareto Ventures, Basecamp Fund, Zelkova Ventures and angel investors, like Tom Willerer (former chief product officer at OpenDoor and Coursera). Previous investors include Flybridge, Lerer Hippeau and Oceans.

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Deep learning based analysis of microstructured materials for thermal radiation control | Scientific Reports – Nature.com

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Iterative and Enko Streamline Machine Learning Model Development to Drive Data Science Best Practices Based on GitOps Workflows – Business Wire

SAN FRANCISCO--(BUSINESS WIRE)--Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and machine learning (ML) engineers, today announced Enko, the crop health company, has chosen Iterative-backed open source project DVC and Studio to build reproducible and modular pipelines at scale.

Enko designs safe and sustainable solutions to farmers biggest crop threats today, from pest resistance to new diseases. Inspired by the latest drug discovery and development approaches from pharma, Enko brings an innovative approach to crop health in order to meet farmers evolving needs.

Enkos Data Science team wanted to incentivize data scientists to use GitHub for their experiments in order to make a more efficient and collaborative workflow. Since Enko heavily leverages Git and GitHub, they decided to choose Iterative-backed tools rather than alternatives. DVC and Studio enable Enko to focus on building and applying innovative models to accelerate experimentation with minimal operational overhead.

"Our team has a policy that requires peer reviewed pull requests for all core infrastructure, but we found it nearly impossible to apply that to Jupyter Notebooks. This became even more challenging when the complexity of our workflows and size of file dependencies grew, said Tim Panosian, director of R&D data sciences at Enko. Now all pipelines run on DVC, which has given us the ability to streamline the process. Everyones code looks the same and expectations are clear. The big piece for us is that we know that we can rely on DVCs reproducibility to pick up where anyone left off.

With DVC and Studio, Enko is now able to track everything, efficiently and effectively collaborate in real time, and can easily pick experiments back up quickly, even weeks later, without having to search multiple tools or locations. Additionally, Studio provides transparency and allows for communication to teams that may not be as technical or knowledgeable around the model building aspects. Teams can share metrics and plots right away. Studio also gives data scientists positive feedback and encourages good behavior and discipline around running experiments and pipelines in traceable and reproducible ways.

Enko is doing important work to make new crop protection safer and more sustainable, providing a win-win to the farmer and environment alike, said Jenifer De Figueiredo, Iteratives community manager. DVC and Studio have enabled their data scientists and ML engineering team to be more productive and move them in the same direction to their goals.

DVC brings agility, reproducibility, and collaboration into the existing data science workflow. It provides users with a Git-like interface for versioning data and models, bringing version control to machine learning and solving the challenges of reproducibility. DVC is built on top of Git, creating lightweight metafiles and enabling the system to handle large files, which can't be stored in Git. The works with remote storage for large, unstructured data files in the cloud.

Iterative Studio is the collaboration layer for ML engineers and data scientists to track, visualize, and share experiments. Studio enables teams to link code, model, and data changes together in a single place. Studio is built on top of an organizations Git and tightly couples with the software development process so team members can share knowledge and automate their ML workflows.

DVC and Iterative Studio are available today to work with GitHub, GitLab, and BitBucket. To schedule a demo, visit http://www.Iterative.ai.

About Iterative

Iterative.ai, the company behind Iterative Studio and popular open-source tools DVC, CML, and MLEM, enables data science teams to build models faster and collaborate better with data-centric machine learning tools. Iteratives developer-first approach to MLOps delivers model reproducibility, governance, and automation across the ML lifecycle, all integrated tightly with software development workflows. Iterative is a remote-first company, backed by True Ventures, Afore Capital, and 468 Capital. For more information, visit Iterative.ai.

About Enko

Enko designs safe and sustainable solutions to farmers' biggest crop threats today, from pest resistance to new diseases. By applying the latest drug discovery and development approaches from pharma to plants, Enko is bringing an innovation model to agriculture and meeting farmers' evolving needs. Founded in 2017 and led by a team of proven scientists, entrepreneurs and agriculture industry veterans, Enko is backed by investors including the Bill & Melinda Gates Foundation, Anterra Capital, Finistere Ventures, Novalis LifeSciences, Germin8 Ventures, TO Ventures Food, and Rabo Food & Agri Innovation Fund. Enko is headquartered in Mystic, Connecticut. For more information, visit enkochem.com.

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Predicting healthcare utilization in COPD patients using CT and machine learning – Health Imaging

Follow-up healthcare services were used by 35% of participants. This was found to be independent of age, sex or smoking history, but individuals with lower FEV1% were observed to utilize services more often than their peers. The model that used clinical data, pulmonary function tests and CT measurements was found to be the most accurate in predicting utilization, with an accuracy of 80%.

We found that adding imaging predictors to conventional measurements resulted in a 15% increase for correct classification, corresponding author MirandaKirby,PhD, of the Department of Physics at Toronto Metropolitan University, and co-authors wrote. Although this increase may seem small, identifying high risk patients could lead to healthcare utilization prevention through earlier treatment initiation or more careful monitoring.

The authors suggested that even small increases in prediction accuracy could translate into preventing a large number of hospitalizations at the population level.

The full study can be viewed here.

Is coronary heart disease on CT associated with early development of COPD?

CT-based radiomics features can help diagnose COPD earlier than ever before

Deep learning models predict COPD survival based on chest radiographs

CT reveals undersized lung airways as major COPD risk factor, on par with cigarette smoking

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Atharv Singh Negi wins chess title in Chandigarh – The Tribune India

Tribune News Service

Chandigarh, June 12

Atharv Singh Negi scored four points to win the top position in the U-9 open category while Vedant Garg scored 4.5 points to win the U13 open category on the concluding day of the Chandigarh Chess Championship organised by the Chandigarh Chess Association. A total of 56 boys and girls participated in it. Pratyaksh Goel with four points claimed the title in the open U-17 category.

In the boys U-9 category, Vivaan Mittal claimed second position and in the girls U-9 event, Hajel finished second. In the boys U-13 event, Aaditya Singla claimed second position and in the girls U-13 event, Prisha finished second. In the boys U-17 event, Bhavay Mahajan finished second and Krisha Bhatia claimed second position in the girls U-17 event. The winners have been chosen to represent the city in the upcoming national meet.

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Twitch Streamer xQc Wont Take Chess over Gambling – GamblingNews.com

Twitch streamer xQc, real name Felix Lengyel, was not flattered when a fellow content creator and fan urged him to stop broadcasting sponsored gambling sessions and switch back to chess instead. xQc has been down this road many times before and since he decided to switch to an all-open endorsement of gambling on his channel.

As one of the most-watched content creators on the Amazon-owned platform, this decision was bound to ruffle some feathers, including those of his father who lambasted the streamer publicly. The fan was clearly taking an issue with the fact that xQcs position changed rapidly from one of apologizing about having ever streamed gambling content to one that openly endorsed the practice.

Naturally, xQcs Twitch chat and Reddit forums have been filled with opinions for and against the streamers choice to stream gambling. Other content creators, to name Asmongold, Mizkif, and Amouranth have all weighed in on this moral choice.

On Sunday, a fan decided to take another shot at dissuading xQc from pursuing his hobby, but instead of going to xQcs channel, the streamer decided to record a separate video. xQc came upon this video while browsing Reddit where a topic called Juicer begs xQc to stop gamba and play chess again caught his attention.

So, xQc decided to watch. He didnt dwell much on this appeal, but simply said Chess? Thanks, man. He then continued with his stream seemingly unperturbed by the latest poke at his life choices. xQc has become somewhat inured by people constantly appealing and urging him to do one thing instead of another.

An issue to some has been the fact that he should be a role model, but Asmongold, a wide-mouth streamer who got recently banned from Twitch over Diablo Immortal shenanigans, said that nobody should expect streamers to be role models, and that they were just people and get to do whatever they want.

However, xQc has admitted to being an actual gambling addict while playing through huge piles of money. The streamer told his fans not to worry, though, because he was one of those lucky individuals who could afford to be a gambling addict. You may not want to be a role model, but this is definitely the wrong message to send, no matter what you do.

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Twitch Streamer xQc Wont Take Chess over Gambling - GamblingNews.com

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Knight wearing dhoti, shirt with folded hands is 44th Chess Olympiad mascot – Business Standard

A chess knight wearing a white shirt and dhoti, standing with folded hands welcoming the players and officials for the 44th Chess Olympiad is the mascot for the mega chess event.

The mascot named 'Thambi' or younger brother in Tamil, the language of Tamil Nadu, where the Olympiad is hosted was launched by Chief Minister M.K.Stalin on late Thursday.

The dhoti has white and black checked border and the shirt sports the words 'Believe Chess'.

Stalin also launched the 44th Chess Olympiad logo consisting of different chess pieces.

"Hosting the 44th Chess Olympiad is an absolute honour for Chennai and all our officials are putting assiduous efforts to make it a grand and memorable success in the history of Indian Sports," the Chief Minister tweeted.

According to All India Chess Federation (AICF), a record 343 teams in open and women's sections from 187 countries across the globe have registered so far for the 44th Chess Olympiad.

India will field two teams each in open as well as women's section.

According to the Tamil Nadu government, public awareness about the prestigious sporting event will be created by holding chess tournaments in schools and colleges across the state and publicity will be created at all places where people in large numbers gather.

Earlier it was announced that the Tamil Nadu government and the AICF will hold a design contest -- logo, mascot and tagline -- for the upcoming 44th Chess Olympiad.

"The three contests have three individual cash prizes. The first prize will be Rs 75,000, second and third prize will be Rs 50,000 and Rs 25,000 respectively," Bharat Singh Chauhan, AICF Secretary had told IANS.

In addition, there are five more exciting prizes, it said.

The contest is open to all Indian citizens, agencies and organisations within India.

As regards the intellectual property rights of the entries, the Tamil Nadu government, AICF and the International Chess Federation/FIDE would have rights over all the entries for usage in a way felt appropriate by them.

The participants would have no right or claim on the submitted entries, it added.

The AICF statement is silent on the contest winners.

--IANS

vj/khz/

(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)

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Knight wearing dhoti, shirt with folded hands is 44th Chess Olympiad mascot - Business Standard

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