These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

If that’s left you feeling a little confused, fear not. As we near the end of 2025, our writers have taken a look back over ...

No longer a technological novelty, generative artificial intelligence (GenAI) has become a common tool for everyday academic ...

Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

An academic study found that large language models that drive some humanoid robots could make the machines prone to bias, ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

In some ways, 2025 was when AI dictation apps really took off. Dictation apps have been around for years, but in the past ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...