与「ArtificialIntelligence」相关的搜索结果

AI diagnostic tools are transforming #healthcare# by 2026, enhancing accuracy and speeding up detection, but they won’t replace #doctors# entirely. —  @meisshaily #ArtificialIntelligence# #Technology# #TechNews# #Tech# #AI# #Efficiency#

Token usage reduction means cutting down the number of text units (tokens) that large language models process, which directly lowers costs, speeds up responses, and makes scaling easier —  @meisshaily #ArtificialIntelligence# #TechNEws# #Tech# #Technology# #LLMs#

#MCInterview# | 🚨 "Hey Meta, take a picture." Yann LeCun (@ylecun) uses on Meta glasses and AI hardware in this conversation with @chandrarsrikant and @tsuvik 🚀 🔻Catch the full interview👇 #Meta# #ArtificialIntelligence#

🤖 What happens when you hand the same legal case to five different AIs? They disagree. at almost exactly the same rate human jurors do. That's one the findings in the new chapter @federicoast, @williamhwgeorge, and @robertgdean just published in AI and Arbitration (Wolters Kluwer, 2026), "When Decentralised Justice Meets Artificial Intelligence." 63 real Kleros disputes, judged by five frontier LLMs from: ChatGPT, Claude, Gemini, DeepSeek, Mistral. The takeaway isn't which model judges best. It's that you shouldn't trust a monolith AI. Round 2 of the experiment is already in flight: the team is re-running the test on real-world consumer cases from Argentina's Junín pilot and Lemon, where early evidence suggests the AIs and human jurors come to different conclusions on the same cases. Book details below ↓

Pope Leo XIV says AI needs to be disarmed. “Artificial intelligence needs to be disarmed. The word disarmed is strong I know, but deliberately chosen because this moment needs words capable of attracting attention, awakening consciences, & indicating paths forward for humanity.”

Apparently there’s a new computer trend called “artificial intelligence.” I learned this from a guy named Randy smoking a cig outside a Panera Bread. Curious to see whether it catches on. Wanted to flag to @elonmusk despite the holiday weekend.

AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections. You're not bullish enough. And it might be a good idea to stay exposed + own the keys of the AI Kingdom: -> $AXTI controls the materials buildout with photonics. -> $SOI controls the AI buildout with silicon photonics. -> $SIVE controls laser chokepoints for CPO. -> $IQE controls Western epiwafer supply chains for photonics. All these started off as tiny companies, yet the trillions of projected capex gradually upward to them.  There's many more in other industries as well. -> AI Capex flows to Neoclouds like $NBIS. -> AI Capex flows to memory like $MU and $SNDK. And many of the "commodity" materials or "science projects" for the past 20 years now a sudden shift in exponential TAM expansion. We're witnessing the next industrial revolution with Artificial Intelligence + Physical AI.

A recent BCI landscape piece by @Bloomberg features five PLC Neurotech portfolio companies: @Merge, @paradromics, @PrecisionNeuro_ , @ScienceCorp_, and @synchroninc. “The industry could be reaching an inflection point thanks to rapid advances in hardware and artificial intelligence models that can decode neural signals.” We agree. We're long on the space for a reason.