Researchers have developed a geometric deep learning approach to uncover shared brain activity patterns across individuals.

Large language models (LLMs), such as the model behind OpenAI's popular platform ChatGPT, have been found to successfully ...

Generative AI (LLMs) has already shown some promise in healthcare and social robotics. In healthcare, it is used to enhance clinical decision-making, ...

Abstract: Gaussian process (GP) offers a robust solution for modeling the dynamics of unmanned surface vehicles (USV) in model-based reinforcement ... neural networks model predictive control (PNMPC) ...

Abstract: Accurate positioning is essential for meaningful data collection in underwater acoustic sensor networks (UASNs), and localization ... as a mobile anchor and proposes a reinforcement-learning ...

“We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1. DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT ...

Reinforcement learning is a subset of machine learning where agents ... Mali Gorantla, Chief Scientist at AppSOC (expert in AI governance and application security): “Tech breakthroughs rarely occur in ...

DeepSeek challenged this assumption by skipping SFT entirely, opting instead to rely on reinforcement learning (RL ... infrequent edge cases in real-world applications — and they can be ...

This synergy enhances neural shader performance and transitions the deep learning model used by many DLSS functions from traditional convolution to a more powerful Transformer network ...