A new crowd-trained way to develop LLMs over the internet could shake up the AI industry with a giant 100 billion-parameter ...

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 ...

in order to meet a more general and practical data flow utilization. When the requirement random variables are co-distributed with respect to time, we prove the practicability of the Erlang Multirate ...

Microsoft Corp. has reportedly pulled back on multiple planned data center projects three months ... complicated by a shift in AI model development to requiring fewer resources.

To address this need, WWT created our Data Maturity Model. This framework assists organizations in evaluating their current data capabilities and processes, charting a path toward higher levels of ...

A team of materials scientists, chemical engineers, and environmental scientists affiliated with a host of institutions in China has developed a redox flow battery (RFB) with 87.9% energy efficiency, ...

“I don’t know how else to say it, this data system is needed. It’s not an option. It’s part of having a functional public health system,” Marian Jarlenski, a professor of health policy ...

model specifically tailored for traffic flow prediction is proposed. The DRSTT model captures data features through the design of specialized modules that effectively handle short-term variations, ...

The ATT&CK Data Model (ADM) is a TypeScript library that provides a structured way to interact with MITRE ATT&CK datasets. It uses Zod schemas, TypeScript types, and ES6 classes to create a type-safe, ...