Simone Inzaghi said Monday that Inter Milan are not scared of Manchester City as he prepares his team for the Champions League final...

Take a look at some of the best dressed stars at the 2023 CMA Awards

Federal Reserve Bank of St. Louis President James Bullard backed two more 2023 interest-rate increases and his Minneapolis

Dick’s Sporting Goods Inc. raised its profit forecast as strong demand for sports gear overcame concerns of a

CITY OF INDUSTRY, Calif.--(BUSINESS WIRE)--Sep 20, 2023--

DENVER — A struggling Miguel Vargas was not a part of the starting lineup for the Los Angeles Dodgers on Tuesday night, but don't expect that to continue.Despite the struggles for Miguel Vargas at the plate this season, slashing .201/.301/.376 in 274 plate appearances this season, Los...

Russians commemorated the victims of Soviet state terror on Sunday, while the Russian government continues its crackdown on dissent in the country

'That was quite hurtful because I hadn’t done anything,' said Millie Mackintosh

Robots fitted with AI developed by Google’s DeepMind have figured out how to play football. The miniature humanoid robots, which are about knee height, were able to make tackles, score goals and easily recover from falls when tripped. In order to learn how to play, AI researchers first used DeepMind’s state-of-the-art MuJoCo physics engine to train virtual versions of the robots in decades of match simulations. The simulated robots were rewarded if their movements led to improved performance, such as winning the ball from an opponent or scoring a goal. Once they were sufficiently capable of performing the basic skills, DeepMind researchers then transferred the AI into real-life versions of the bipedal bots, who were able to play one-on-one games of football against each other with no additional training required. “The trained soccer players exhibit robust and dynamic movement skills, such as rapid fall recovery, walking, turning, kicking and more,” DeepMind noted in a blog post. “The agents also developed a basic strategic understanding of the game, and learned, for instance, to anticipate ball movements and to block opponent shots. “Although the robots are inherently fragile, minor hardware modifications, together with basic regularisation of the behaviour during training led the robots to learn safe and effective movements while still performing in a dynamic and agile way.” A paper detailing the research, titled ‘Learning agile soccer skills for a bipedal robot with deep reinforcement learning’, is currently under peer-review. Previous DeepMind research on football-playing AI has used different team set ups, increasing the number of players in order to teach simulated humanoids how to work as a team. The researchers say the work will not only advance coordination between AI systems, but also offer new pathways towards building artificial general intelligence (AGI) that is of an equivalent or superiour level to humans. Read More 10 ways AI will change the world – from curing cancer to wiping out humanity DeepMind boss says human-level AI is just a few years away Apple finally launches two professional apps on the iPad UK-based tech company claims quantum computing ‘breakthrough’

Russian president Vladimir Putin’s forces have been pushed back amid Ukraine’s counteroffensive, as deputy defence minister Hanna Maliar reported new “successes” in the south and east. “There have been some successes, in particular in the direction of Novodanylivka-Novoprokopivka,” Ms Maliar said on the Telegram messaging app, referring to two southeastern villages in the Zaporizhzhia region. Novoprokopivka lies further south of the strategic settlement of Robotyne, which Ukraine said on Monday it had liberated. Ms Maliar also said Kyiv’s forces were pressing on with their offensive operations south of the devastated eastern city of Bakhmut, which was captured by Russian troops in May. The battlefield update comes on the same day the UK’s Ministry of Defence said Putin faced the largest attack on Russia since the start of the war, after it was hit by five separate drone strikes overnight on 29 and 30 August. The MoD said explosions were recorded in Moscow, Bryansk, and Ryazan, as well as at Pskov airbase close to the Estonian border. The government added that since many of these drones reached their targets, it “likely means Russian air defence is having difficulty detecting and destroying them”. Read More Putin’s forces pushed back in southern Ukraine – as Zelensky claims new long-range weapon The ‘Vampire’ rocket system helping Ukraine shoot down Russia’s kamikaze drones Ukraine pilot films moment drone flies into Russian truck

Aaron Judge homered and singled twice in his second game back from the injured list and the New York Yankees topped the Baltimore Orioles 8-3

The UK will back Ukraine's economy to the tune of $3 billion over the next three years while it fights back against Russian forces, Prime Minister...