Small language models do not require vast amounts of expensive computational resources and can be trained on business data ...

Junior Deven Gupta and sophomore Paul Rosu were selected as Goldwater Scholars out of a pool of over 1350 applicants. They are joined by 439 other recipients from colleges and universities across the ...

I was making my way home from NTT Research’s Upgrade 2025 innovation conference in San Francisco, when it struck me that we’re at a watershed moment. I was reflecting on NTT’s newly launched Physics ...

When it comes to artificial intelligence in security systems, the integrators and consultants who can properly communicate ...

NVIDIA’s GTC 2025 spotlighted a sweeping upgrade to its AI infrastructure stack, unveiling new CPU and GPU architectures ...

Ai2's new open-source OLMoTrace tool allows enterprises to directly trace LLM outputs back to original training data, bringing transparency to AI decision-making and addressing trust barriers.

A new study in Engineering explores the future of AI after large language models (LLMs). LLMs have their limits, so ...

Another challenge is real-time inference and evolving tastes. User interests can shift instantly, particularly in fast-paced domains like news.

For instance, an LLM extensively trained in English can seamlessly apply its understanding to answer questions in Spanish or translate complex ideas. This shared conceptual framework is not only ...

From the basics to buzzwords to game-changers, this glossary of terms will help you speak the language of AI and stay ahead ...