新闻与深度文章

Author: Chang Xu Diffusion probabilistic models have the capacity to generate high-fidelity samples for generative time series forecasting. However, they also present issues of instability due to their stochastic nature. In order to tackle this challenge, researchers from Microsoft Research…

In this issue: RELEVANCE automatically evaluates creative LLM responses; Recyclable vitrimer-based printed circuit boards; Lean Attention: Hardware-aware scalable attention mechanism; WaveCoder: a fine-tuned code LLM; New AutoGen training course.

“We’re at the very early stage of generative AI and the impacts it will have on work. This is a fast-moving field, and there’s an immense opportunity to take control of the agenda and build truly globally equitable AI systems”,…

Jiang Bian discusses how generative AI transforms industries by bridging gaps between AI capabilities and sector needs. He will showcase domain-specific foundation models and versatile AI agents, setting new industry standards.

| Jiang Bian, Adam Fourney, Tanuja Ganu, Daniela Massiceti, Jacki O'Neill, Sunayana Sitaram, 和 Tian Xie
In this forum episode, researchers dive into the importance of globally inclusive and equitable AI, share updates on AutoGen and MatterGen, explore novel use cases for AI, and more.
新闻报道 | IEEE Spectrum
1-bit LLMs Could Solve AI’s Energy Demands
“Imprecise” language models are smaller, speedier—and nearly as accurate. Large language models, the AI systems that power chatbots like ChatGPT, are getting better and better—but they’re also getting bigger and bigger, demanding more energy and computational power. For LLMs that…

“If life is a marathon, then health is the key to its duration.” Health is not only the foundation of happiness and societal progress but also a pivotal aspect of the intelligent era. AI’s integration into healthcare represents a transformative…

Deciding between fundamental and applied research is a dilemma that confronts many in the scientific community. Dongqi Han, on the cusp of graduation, ambitiously aspired to bridge this divide by pursuing both avenues of research in his future endeavors. After…