Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

Two systems with identical parameter counts can behave dramatically differently depending on how they are built.

PyTorch code for SpERT: "Span-based Entity and Relation Transformer". For a description of the model and experiments, see our paper: https://arxiv.org/abs/1909.07755 ...

The 2FA bypass exploit stemmed from a faulty trust assumption, providing evidence of AI reasoning that can discover high-level logic flaws. The Google Threat Intelligence Group (GTIG) today released ...

In recent years, deep learning has profoundly impacted computer vision and image processing, bringing about significant advancements and changes. Convolutional neural networks (CNNs) have been the ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Andrej Karpathy created microGPT, a minimal GPT using only 243 lines of Python code. The project simplifies LLM architecture to basic mathematical operations without external libraries. Karpathy's ...

Chinese e-commerce giant Alibaba's Qwen team of AI researchers has emerged in the last year as one of the global leaders of open source AI development, releasing a host of powerful large language ...