Connect with us

AI Research

NUS and Google ink new partnership to advance applied AI research and talent development in Singapore

Published

on


The National University of Singapore (NUS) and Google are embarking on a new strategic collaboration to accelerate applied artificial intelligence (AI) research and nurture skilled AI practitioners.

This collaboration reinforces Singapore’s ambition to be a global hub for AI innovation and talent, advances the national digital transformation agenda, and deepens industry-academia partnerships to strengthen the country’s research ecosystem, the duo said in a statement on Monday.

According to the statement, NUS and Google plan to establish a joint research and innovation center, bringing together resources and technology to pursue experimental or applied AI projects across diverse domains.

There are also plans for a rapid prototyping sandbox to be established and governed by the joint center to provide a controlled and flexible cloud-based environment, supported by Google Cloud’s power-efficient Tensor Processing Units (TPUs), for experimentation, testing, and validation of the solutions developed under each of the domains, before they are deployed or scaled in real-world settings.

Complementing the joint center, Google plans to establish an AI-focused talent development program at NUS.

This initiative aims to provide training opportunities and certification pathways in Google Cloud AI platforms and tools for NUS students and researchers to accelerate their applied AI research projects.

Additionally, Google intends to establish a Google-supported professorship at NUS to further promote faculty leadership in AI-related fields, foster even deeper collaboration between academia and industry, and contribute to cultivating the next generation of talent in AI and digital innovation.

“The joint center brings together NUS’s leadership in AI and multidisciplinary research and Google’s deep research expertise, advanced technologies and tools, as well as well-established pathways for research translation and deployment,” said Professor Liu Bin, NUS Deputy President (Research and Technology).

According to her, a key pillar of this partnership is talent development — through endowed professorships, mentorship, training programs, and hands-on research projects.

“We are confident that our joint efforts with Google will nurture the next generation of AI scientists, engineers, and innovators equipped to tackle real-world challenges,

“Together, we are well-positioned to drive AI breakthroughs that will transform lives, reshape industries, and advance the future of education, healthcare, and beyond,” she added.

Meanwhile, Serene Sia, Country Director, Singapore and Malaysia, Google Cloud, said Google and NUS share a longstanding partnership, anchored on talent development and applying frontier technologies for public good.

These include an on-campus Google Developer Group to equip students with advanced software skills; Google Cloud as a pioneering industry partner of the NUS AI Institute; cultivating talent to tackle biomedical challenges with AI; producing the world’s first AI-powered legal journal podcast with NotebookLM, and a Google PhD Fellowship program to recognize exceptional work in computer science.

“Our new collaboration truly builds on those successes; it’s a significant step forward in Google’s commitment to bringing new capabilities for scientific discovery to Singapore,” she said.

According to her, NUS has consistently been at the forefront of Singapore’s RIE ecosystem, supporting Singapore’s transformation into a knowledge-based, innovation-driven economy and society.

“By combining NUS’s world-class multidisciplinary research capabilities with Google’s world-class AI research and AI-optimized cloud infrastructure, this joint center is poised to steer safe and responsible AI development and accelerate scientific progress that transforms public health, learning experiences, and other vital fields,” she added.

Sea and OpenAI sign MOU to accelerate AI adoption in Southeast Asia



Source link

AI Research

Love and Artificial Intelligence – cbsnews.com

Published

on



Love and Artificial Intelligence  cbsnews.com



Source link

Continue Reading

AI Research

NFL player props, odds, lines: Week 2, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

Published

on


The Under went 12-4 in Week 1, indicating that not only were there fewer points scored than expected, but there were also fewer yards gained. Backing the Under with NFL prop bets was likely profitable for the opening slate of games, but will that maintain with Week 2 NFL props? Interestingly though, four of the five highest-scoring games last week were the primetime games, so if that holds, then the Overs for this week’s night games could be attractive with Week 2 NFL player props.

There’s a Monday Night Football doubleheader featuring star quarterbacks like Baker Mayfield, C.J. Stroud and Justin Herbert. The games also feature promising rookies such as Ashton Jeanty, Omarion Hampton and Emeka Egbuka. Prop lines are usually all over the place early in the season as sportsbooks attempt to establish a player’s potential, and you could take advantage of this with the right NFL picks. If you are looking for NFL prop bets or NFL parlays for Week 2, SportsLine has you covered with the top Week 2 player props from its Machine Learning Model AI.

Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop. 

Now, with the Week 2 NFL schedule quickly approaching, SportsLine’s Machine Learning Model AI has identified the top NFL props from the biggest Week 2 games.

Week 2 NFL props for Sunday’s main slate

After analyzing the NFL props from Sunday’s main slate and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Lions receiver Amon-Ra St. Brown goes Over 63.5 receiving yards (-114) versus the Bears at 1 p.m. ET. Detroit will host this contest, which is notable as St. Brown has averaged 114 receiving yards over his last six home games. He had at least 70 receiving yards in both matchups versus the Bears a year ago.

Chicago allowed 12 receivers to go Over 63.5 receiving yards last season as the Bears’ pass defense is adept at keeping opponents out of the endzone but not as good at preventing yardage. Chicago allowed the highest yards per attempt and second-highest yards per completion in 2024. While St. Brown had just 45 yards in the opener, the last time he was held under 50 receiving yards, he then had 193 yards the following week. The SportsLine Machine Learning Model projects 82.5 yards for St. Brown in a 4.5-star pick. See more Week 2 NFL props here.

Week 2 NFL props for Vikings vs. Falcons on Sunday Night Football

After analyzing Falcons vs. Vikings props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Falcons running back Bijan Robinson goes Over 65.5 rushing yards (-114). Robinson ran for 92 yards and a touchdown in Week 14 of last season versus Minnesota, despite the Vikings having the league’s No. 2 run defense a year ago. The SportsLine Machine Learning Model projects Robinson to have 81.8 yards on average in a 4.5-star prop pick. See more NFL props for Vikings vs. Falcons here

You can make NFL prop bets on Robinson, Justin Jefferson and others with the Underdog Fantasy promo code CBSSPORTS2. Pick at Underdog Fantasy and get $50 in bonus funds after making a $5 wager:

Week 2 NFL props for Buccaneers vs. Texans on Monday Night Football

After analyzing Texans vs. Buccaneers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bucs quarterback Baker Mayfield goes Under 235.5 passing yards (-114). While Houston has questions regarding its offense, there’s little worry about the team’s pass defense. In 2024, Houston had the second-most interceptions, the fourth-most sacks and allowed the fourth-worst passer rating. Since the start of last year, and including the playoffs, the Texans have held opposing QBs under 235.5 yards in 13 of 20 games. The SportsLine Machine Learning Model forecasts Mayfield to finish with just 200.1 passing yards, making the Under a 4-star NFL prop. See more NFL props for Buccaneers vs. Texans here

You can also use the latest FanDuel promo code to get $300 in bonus bets instantly:

Week 2 NFL props for Chargers vs. Raiders on Monday Night Football

After analyzing Raiders vs. Chargers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Chargers quarterback Justin Herbert goes Under 254.5 passing yards (-114). The Raiders’ defense was underrated in preventing big passing plays a year ago as it ranked third in the NFL in average depth of target allowed. It forced QBs to dink and dunk their way down the field, which doesn’t lead to big passing yardages, and L.A. generally prefers to not throw the ball anyway. Just four teams attempted fewer passes last season than the Chargers, and with L.A. running for 156.5 yards versus Vegas last season, Herbert shouldn’t be overly active on Monday night. He’s forecasted to have 221.1 passing yards in a 4.5-star NFL prop bet. See more NFL props for Chargers vs. Raiders here

How to make Week 2 NFL prop picks

SportsLine’s Machine Learning Model has identified another star who sails past his total and has dozens of NFL props rated 4 stars or better. You need to see the Machine Learning Model analysis before making any Week 2 NFL prop bets.

Which NFL prop picks should you target for Week 2, and which quarterback has multiple 5-star rated picks? Visit SportsLine to see the latest NFL player props from SportsLine’s Machine Learning Model that uses cutting-edge artificial intelligence to make its projections.





Source link

Continue Reading

AI Research

What Is One of the Best Artificial Intelligence (AI) Stocks to Buy Now? – The Motley Fool

Published

on



What Is One of the Best Artificial Intelligence (AI) Stocks to Buy Now?  The Motley Fool



Source link

Continue Reading

Trending