F1Tenth is a widely adopted reduced-scale platform for developing and testing autonomous racing algorithms, hosting annual competitions worldwide. With high operating speeds, dynamic environments, and head-to-head interactions, autonomous racing requires algorithms that diverge from those in classical autonomous driving. Training such algorithms is particularly challenging: the need for rapid decision-making at high speeds severely limits model capacity. To address this, we propose End2Race, a novel end-to-end imitation learning algorithm designed for head-to-head autonomous racing. End2Race leverages a Gated Recurrent Unit (GRU) architecture to capture continuous temporal dependencies, enabling both short-term responsiveness and long-term strategic planning. We also adopt a sigmoid-based normalization function that transforms raw LiDAR scans into spatial pressure tokens, facilitating effective model training and convergence. The algorithm is extremely efficient, achieving an inference time of less than 0.5 milliseconds on a consumer-class GPU. Experiments in the F1Tenth simulator demonstrate that End2Race achieves a 94.2% safety rate across 2,400 overtaking scenarios, each with an 8-second time limit, and successfully completes overtakes in 59.2% of cases. This surpasses previous methods and establishes ours as a leading solution for the F1Tenth racing testbed. Code is available at https://github.com/michigan-traffic-lab/End2Race.

TikTok user and travel agent Taylor Moore shared details of her plane ride next to Taylor Swift's dad, including his proud papa moments and approval of Travis Kelce. The Beatles, Taylor Swift and Beyoncé are facing off at the 2025 Grammy Awards. On Friday, the Recording Academy released its full list of Grammy nominations, and the Beatles earned their first nod since 1997 for their latest song, "Now and Then." The Fab Four also earned a nomination for the same song in the best rock performance category. The Beatles' last new song, the AI-assisted "Now and Then," was released in 2023.

In social choice theory with ordinal preferences, a voting method satisfies the axiom of positive involvement if adding to a preference profile a voter who ranks an alternative uniquely first cannot cause that alternative to go from winning to losing. In this note, we prove a new impossibility theorem concerning this axiom: there is no ordinal voting method satisfying positive involvement that also satisfies the Condorcet winner and loser criteria, resolvability, and a common invariance property for Condorcet methods, namely that the choice of winners depends only on the ordering of majority margins by size.

We propose a new single-winner voting system using ranked ballots: Stable Voting. The motivating principle of Stable Voting is that if a candidate A would win without another candidate B in the election, and A beats B in a head-to-head majority comparison, then A should still win in the election with B included (unless there is another candidate A' who has the same kind of claim to winning, in which case a tiebreaker may choose between such candidates). We call this principle Stability for Winners (with Tiebreaking). Stable Voting satisfies this principle while also having a remarkable ability to avoid tied outcomes in elections even with small numbers of voters.

From The Jetsons to Harry Potter, flying cars have been staple features of science fiction blockbusters for years. But the futuristic vehicles are now very much a reality, with some even competing in races in the skies. This week, two remote-controlled flying race cars competed in a track race in the skies over Adelaide for the first time, as part of the Airspeeder series. The race saw pilots Zephatiali Walsh and Fabio Tischler go head-to-head, piloting two 13.5ft-long flying race cars remotely from the ground. Walsh took home the gold in the inaugural 0.6-mile race, and said he'couldn't be prouder'.

An artificial intelligence will pilot a fighter jet in a real life aerial dual with a Top Gun aviator after an AI won a simulated dogfight last month, Defense Secretary revealsThe Pentagon is set to pit an AI-controlled Jet against a pilot in a real-life aerial battle in 2024, Defense Secretary Mark Esper announced News of the slated battle comes just weeks after an artificial intelligence program defeated an F-16 fighter pilot in a virtual dogfightEsper made the announcement during a speech at the Defense Department's AI Symposium 2020 on Wednesday Esper hailed the'tectonic impact of machine learning on the future of warfighting' after the AI algorithm annihilated the human pilot on August 20While Esper provided no additional details on the face-off, he assured troops that AI will integrated help to enhance US warfighting, not replace pilots By Luke Kenton For Dailymail.com Published: 17:15 EDT, 10 September 2020 Updated: 17:23 EDT, 10 September 2020 Just weeks after an artificial intelligence program defeated an F-16 fighter pilot in a virtual dogfight, the Pentagon is set to raise the stakes by pitting an AI-controlled jet against a pilot in a real-life aerial battle, Defense Secretary Mark Esper announced.Esper unveiled the plans for the battle, slated for 2024, …

It seems like every day brings a new AI more capable than the last. This was recently apparent with AlphaGo--it was pretty great at beating Breakout, then Google got involved and soon it was capable of beating the world's leading Go champion. To do this, AlphaGo uses what is known as'deep reinforcement learning'. For example, in Breakout, it will take raw image frames of the game as it's being played. Whether or not the ball is hitting the bricks in those frames will decide whether or not positive reinforcement is registered.

Amazon is once again throwing its hat into a new ring. The market heavyweight wants to start making its own artificial intelligence chips for its Echo speaker devices in an effort to better compete against Apple and Google, according to media reports. Amazon is starting to design custom AI hardware to power future Echo devices and improve the quality and response time of its "Alexa" voice-controlled personal assistant technology, according to a report first published by The Information. The move could help Amazon go head-to-head with rivals Apple and Google, which are already developing custom AI chips. Apple relies on custom-built chips from the likes of ARM for some of its smart devices but has also started developing its own chips for the iPhone.

You started off in e-commerce. Your vision is that customers will meet, work and live at Alibaba, which is pretty much everything. Where does the ambition end, and what's the unifying vision? TSAI: Since 1999, we started the company with a mission to make it easy to do business anywhere. We want to make sure we help businesses, companies, especially small companies, to be able to reach their markets and reach consumers.

It seems like every day brings a new AI more capable than the last. This was recently apparent with AlphaGo--it was pretty great at beating Breakout, then Google got involved and soon it was capable of beating the world's leading Go champion. To do this, AlphaGo uses what is known as'deep reinforcement learning'. For example, in Breakout, it will take raw image frames of the game as it's being played. Whether or not the ball is hitting the bricks in those frames will decide whether or not positive reinforcement is registered.