anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

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

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

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.

Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

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 ...

Army officers interested in transferring will be able to apply through the service’s Voluntary Transfer Incentive Program beginning Jan. 5.

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated that the AI programs will require between 91% and 99% less computing ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...