Unified, standardized integration: MCP serves as a universal protocol, enabling developers to connect their services, APIs, ...

Anthropic CEO Dario Amodei set forth a goal for his company to "reliably detect most AI model problems" by 2027.

The future belongs to engineers who can bridge the gap between traditional back-end development and data engineering.

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

The trans-Neptunian object Altjira, 44 times farther from the Sun than Earth is, could be the second known trinary, confirming a theory about the formation of our solar system.

Google ramps up the competition in the enterprise data space claiming its AI innovation help it to leapfrog rivals.

We will show that when the database has a hierarchical structure, there is a natural extension of the h-index that works on ...

In many careers, a person must learn foundational skills before advancing deeper into their profession. Computer programmers ...

Abstract: Hierarchical Kriging (HK) is a promising surrogate model to fuse multi-fidelity data. In theory, HK can serve as predictor for problems with any number of input dimensions. In practice, for ...

In a paper in the Journal of Diabetes Science and Technology, researchers at Stevens Institute of Technology offer a new approach: a data-sparse model capable of accurately predicting individual ...

Just a few weeks after OpenAI said it would adopt rival Anthropic’s standard for connecting AI models to the systems where data resides ... for Anthropic’s Model Context Protocol, or MCP ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...