This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover new metallic glasses (MG). By combining element embeddings learned from ...
At the 2025 AI-Driven Science Symposium, Tianqiao Chen, founder of the Tianqiao & Chrissy Chen Institute, first introduced ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
The research highlights that AI adoption does not occur in a vacuum. Students do not evaluate technology purely on technical ...
Backing its low-cost positioning, the board relies on a fully open-source toolchain. Also, while not official yet, Akshar ...
LLMs can, in theory, be useful in therapy, but they lack accuracy for complex cases, which is why it's vital to focus on ...
A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
Taken together, these signals suggest one thing: we may be closer to AGI—and to systems capable of passing the Turing ...
12don MSNOpinion
The View From Inside the AI Bubble
Despite the lack of clear definition—even OpenAI’s CEO, Sam Altman, has called AGI a “weakly defined term”—the idea that ...
The Virtual Brain Inference (VBI) toolkit enables efficient, accurate, and scalable Bayesian inference over whole-brain network models, improving parameter estimation, uncertainty quantification, and ...
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