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) ...

There are many different types of consumer applications that use artificial neural networks and machine learning (ML) to function. One of the most famous examples is ChatGPT, which processes natural ...

“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 ...

Through RL (reinforcement learning, or reward-driven optimization), o1 learns to hone its chain of thought and refine the strategies it uses — ultimately learning to recognize and correct its ...