Introduction Artificial Intelligence lives on data. Without data, large language models (LLMs) cannot learn, adapt, or make ...

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

Open-source plugin now available on the CrafterCMS Marketplace This plugin showcases how MCP, the industry’s emerging open standard for AI/tool interoperability, can unlock powerful new content ...

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.

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

An analysis of recent guidance and emerging best practices on counsel’s ethical duty to be technologically proficient, with a focus on counsel’s obligations in the context of e-discovery and ...

An expert Q&A on the legal, ethical, and practical considerations and emerging issues regarding judicial use of AI, including ...

Getting office workers to switch from typing to voice input is an “uphill battle,” but Wispr customers are showing that voice ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

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 ...

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