The human visual system provides us with a rich and meaningful percept of the world, transforming retinal signals into visuo-semantic representations. For a model of these representations, here we ...

A brief on how to ensure agentic AI systems remain understandable, accountable, and aligned with the people they serve.

A key player driving the digital revolution within this complex ecosystem is L7 Informatics, Inc., an Austin, Texas-based ...

Built on MCP streamable HTTP standards, the server delivers context-aware and JSON-encoded responses optimized for AI clients such as Copilots, AI chatbots, LLM-based IDEs and enterprise AI agents.

As multinationals embed tax technology into their TP functions, a new breed of systems – built on multi model databases – is ...

The future of process automation and control combines the reliability of traditional DCS with the agility of cloud/IT ...

M. Milad Khani discusses the serious risks AI can introduce, particularly for marginalized communities like Indigenous ...

Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

DiffusionData, a provider of a secure, real-time data server, is introducing an open source implementation of the Model Context Protocol (MCP) that lets AI assistants interact with Diffusion in ...

Traditionally, the term “braindump” referred to someone taking an exam, memorizing the questions, and sharing them online for others to use. That practice is unethical and violates the ISC2 ...

J. Marc Overhage, M.D., Ph.D., who led the development of the HDU Capability Model, will become CEO of the Consortium for ...