In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...
Nvidia (NVDA) has started rolling out its Nemotron 3 open models, which it contends are the most efficient family of open models for building agentic artificial intelligence applications. Nemotron 3 ...
The ChatGPT-maker is releasing its “best model yet” as it faces new pressures from Google and other AI competitors. OpenAI has introduced GPT-5.2, its smartest artificial intelligence model yet, with ...
OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...
Nvidia announced new infrastructure and AI models on Monday as it works to build the backbone technology for physical AI, including robots and autonomous vehicles that can perceive and interact with ...
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...
1 DM4ASC ICASSP'24 First diffusion framework for audio semantic communication as inverse problem 2 CommIN ICASSP'24 INN-guided diffusion for wireless image transmission as inverse problem 3 DiffSC ...
With so much money flooding into AI startups, it’s a good time to be an AI researcher with an idea to test out. And if the idea is novel enough, it might be easier to get the resources you need as an ...
New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs PALO ...
New funding will scale the development of faster, more efficient AI models for text, voice, and code Inception dLLMs have already demonstrated 10x speed and efficiency gains over traditional LLMs ...
Multidisciplinary breast tumor boards (MTBs) are essential for optimizing breast cancer treatment but face challenges related to logistics, variability in expertise, and lack of standardization. Large ...