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#ArtificialIntelligence

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Alibaba Cloud shakes up the AI scene with **Qwen2.5-Omni-7B!** This cutting-edge multimodal model processes text, images, audio, and video, making it perfect for mobile devices. It's designed for cost-effective AI agents, especially in voice applications for the visually impaired. With a hefty **$53 billion** investment in AI and cloud infrastructure, Alibaba is positioning itself for success in the booming AI market—don’t miss the full story. [Read more](cnbc.com/2025/03/27/alibaba-la) #ArtificialIntelligence #AlibabaCloud #Qwen2 #TechInnovation

CNBCAlibaba launches new open-source AI model for 'cost-effective AI agents'Alibaba Cloud has launched its latest AI model in its "Qwen series," as large language model competition in China continues to heat up.

Large Language Models (LLMs) optimized for predicting subsequent utterances and adapting to tasks using contextual embeddings can process natural language at a level close to human proficiency. This study shows that neural activity in the human brain aligns linearly with the internal contextual embeddings of speech and language within large language models (LLMs) as they process everyday conversations. #LLM #LLMs #AI #ArtificialIntelligence

research.google/blog/decipheri

research.googleDeciphering language processing in the human brain through LLM representations
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STATSign up for AI Prognosis — a STAT+ newsletter from Brittany TrangComing this February, Brittany Trang's new weekly newsletter unpacks the intersection of AI, health, and medicine.

Today's edition of AI Prognosis had a dud link for the "don't ever use this again" ambient AI scribe study. The web version below has the right one

Also in today's issue:

-CHAI's assurance labs are behind schedule
-AI tool for cancer clinical trials shows promise

statnews.com/2025/03/26/how-in

STAT · Your questions answered: How insurers are using AIIn this edition of STAT's AI Prognosis newsletter: A deeper look at how insurers use AI, and implications for patients.