E-bike crashes are surging in the Detroit metro area as doctors report injuries ranging from minor to major trauma. Some communities are seeking restrictions or bans.

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Things to Do in L.A. Tap to enable a layout that focuses on the article. E-bike injuries are increasing rapidly in California. This is read by an automated voice. Please report any issues or inconsistencies here . See more from the L.A. Times in Google Search.

Angel Reese thanks WNBA for suspending Sandy Brondello, frames'protected species' comment as discrimination Rory McIlroy should be the last golfer to criticize others for'performative' behavior Brexton Busch wins first race since father Kyle Busch's death in emotional return to Victory Lane Caitlin Clark'cheering hard' for Argentina over Spain in World Cup final: 'I want Messi' Ella Langley turns 63-year-old former NFL head coach into'Ella Fella' I am once again begging the folks in USC's athletic department to study some Greek literature Jaxson Dart's swimsuit model girlfriend gets patriotic, golfer Hailey Ostrom takes on Lake Powell & Bigfoot Caitlin Clark's former teammate calls out WNBA for suspending Tempo head coach over'protected species' remark Christopher Nolan brings'The Odyssey' to life with groundbreaking IMAX technology WATCH: Anchor STUNNED by socialist's answer More than 200 military musicians bring America's story to life The All-Star forward finished with eight points and five rebounds in Atlanta's 93-91 victory over the Chicago Sky. Dan Dakich reacts to and fixes Angel Reese's shooting form. Angel Reese's eventful weekend ended with an injury and one of her worst performances of the season. The Atlanta Dream star left Sunday afternoon's game against her former team, the Chicago Sky, after her left leg appeared to give out as she attempted a layup early in the fourth quarter. Reese fell to the floor after missing the shot, briefly got back to her feet and then went down again.

More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Keith Thomas, who has lived with paralysis since a diving accident in 2020, is now able to grasp, lift and drink from a cup on his own. After joining a clinical trial at Northwell Health's Feinstein Institutes for Medical Research that uses brain implants and artificial intelligence to bypass his injury and reconnect his brain with healthy parts of his spinal cord, Thomas has continuously improved, restoring lasting movement and feeling in his arm and hand. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

A racing driver who was in the car with Andrew Freddie Flintoff when he crashed while filming Top Gear in 2022 is suing BBC Studios. Paul Rees gave the presenter expert driving advice from the passenger seat, and is now seeking up to £150,000 for personal injury, according to court documents. It was not publicly known that anyone else was in the open-topped three-wheeled Morgan Super 3 when it overturned during filming. Flintoff suffered serious facial and rib injuries. BBC Studios in its legal response said Rees did not complain of any injuries at the time or after the crash.

Follow this section to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens. Follow this tag to personalize your feed and get instant alerts. Follow Go to your personalized feed WHY FOLLOW? Smart Alerts: Get notified about major news as it happens.

The biodegradable material can help improve healing after surgery--or an avocado-related accident. Roughly 500,000 Americans suffer nerve injuries that require treatment each year, whether from an errant attempt to hack out an avocado pit or an unfortunate woodworking accident. Many will never get full feeling back in their fingers. But a startup has developed a thick and sticky liquid that could change that, and it's begun deploying it with surgeons in the US. French firm Tissium is working to replace and supplement medical stitches with a liquid that attaches to tissue when exposed to light.

Effective conversational agents like large language models (LLMs) must personalize their interactions to adapt to user preferences, personalities, and attributes across diverse domains like education and healthcare. Current methods like Reinforcement Learning from Human Feedback (RLHF), often prioritize helpfulness and safety but fall short in fostering truly empathetic, adaptive, and personalized dialogues. Existing personalization approaches typically rely on extensive user history, limiting their effectiveness for new or context-limited users. To address these limitations, we propose leveraging a user model to incorporate a curiosity-based intrinsic reward into multi-turn RLHF. This novel reward mechanism encourages the LLM agent to actively infer user traits by optimizing conversations to improve its user model's accuracy. Consequently, the agent delivers more personalized interactions by learning more about the user. We demonstrate our method's effectiveness in two distinct domains: significantly improving personalization performance in a conversational recommendation task, and personalizing conversations for different learning styles in an educational setting. We show improved generalization capabilities compared to traditional multi-turn RLHF, all while maintaining conversation quality. Our method offers a promising solution for creating more personalized, adaptive, and engaging conversational agents.

Large language models (LLMs) have achieved significant performance progress in various natural language processing applications. However, LLMs still struggle to meet the strict requirements for accuracy and reliability in the medical field and face many challenges in clinical applications. Existing clinical diagnostic evaluation benchmarks for evaluating medical agents powered by LLMs have severe limitations. Firstly, most existing medical evaluation benchmarks face the risk of data leakage or contamination.