anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

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.

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

A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...

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 ...

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

Precision BioSciences offers high-risk, high-reward potential, trading below cash with key HBV and DMD data catalysts ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Abstract: Automated model generation (AMG) algorithms have become popular techniques for the systematic development of artificial neural network (ANN) models for microwave components. However, ...