Specifically, the AI was able to make progress on a complex problem called the Andrews–Curtis conjecture, which has stumped ...

With a few hundred well-curated examples, an LLM can be trained for complex reasoning tasks that previously required thousands of instances.

One DeepHermes-3 user reported a processing speed of 28.98 tokens per second on a MacBook Pro M4 Max consumer hardware.

A new study from researchers at LMU Munich, the Munich Center for Machine Learning, and Adobe Research has exposed a weakness ...

In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), ...

By working together, healthcare providers, policymakers and technology vendors can create a more connected healthcare system ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

Just days after DeepSeek R1 made headlines, Moonshot AI introduced Kimi AI 1.5, a model already touted superior to OpenAI’s ...

AI models in the future will be large, small, portable, hybrid, remote and domain-specific and use cases will grow more ...

Linear normalization, which is most common, involves shifting the number axis so the data is balanced around zero, and then ...

Molecular communications in the bloodstream is a promising area of research, since the bloodstream has the ability to ...

OpenAI o3 has the potential to reqrite the AI playbook, but to achieve this, Nvidia's latest technology and GPUs are the only ...