Alongside R1 and R1-Zero, DeepSeek today open-sourced a set of less capable but more hardware-efficient models. Those models ...

Artificial intelligence is everywhere, from the personal assistant in your pocket to self-driving cars navigating busy ...

This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be replaced with ...

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our ...

Western researchers have developed a novel technique using math to understand exactly how neural networks make decisions—a ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...

State-of-the-art research facilities to support cutting-edge research to optimise antimicrobial therapy and support infection management through research and technology development, particularly in ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Ethan's been a frequent flier for as long as he can remember, from studying abroad in Paris to moving to Shanghai after graduating college, where he served as TPG's eyes and ears for all things travel ...