China unveiled a comprehensive software platform in Beijing on Monday aimed at overcoming a long-standing bottleneck in its ...

Artificial intelligence (AI) is unlocking both opportunities and challenges for education, with teachers on the front line of ...

Naveen Rao's Unconventional AI has released Un-0, an image generation model running on a simulated oscillator chip architecture it claims could slash power.

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

Abstract: The non-convexity of rate-splitting precoder design precludes the direct use of efficient convex optimization algorithms. Instead, successive convex approximation (SCA)-based methods have ...

An important but unresolved question in deep learning for EEG decoding is which features neural networks learn to solve the task. Prior interpretability studies have mainly explained individual ...

Abstract: We investigate the linear precoding for sum-rate maximization in network massive multiple-input multiple-output (MIMO) transmission, where the cooperative transmission by all base stations ...

Google's most capable Gemini 2.5 Deep Think AI model is finally available for public users. It's a faster version of the AI model that achieved the Gold medal at IMO 2025. It's rolling out to Google ...