Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol ...

While more organizations turn to agentic AI for ERP, the challenging part where most companies get stuck is adoption.

The foundations said in their blog post that automated CI systems, large-scale dependency scanners, and ephemeral container ...

Businesses today rely heavily on data to make faster decisions, optimize operations, and unlock revenue streams. Yet most enterprises are drowning in fragmented data infrastructure, with engineering ...

The rise of agentic AI—systems that reason, act autonomously and communicate with other agents—increases the need for ...

Among adults with chronic rhinosinusitis with nasal polyps, asthma and NSAID-exacerbated respiratory disease, aspirin after desensitization does not benefit most patients vs. placebo, according to ...

Microsoft Fabric expands as industry analysts reveal critical criteria enterprises need for evaluating AI-ready data ...

Abstract: This paper investigates the application of the sampled-data modeling method for current mode constant-ontime (COT) control with external ramp compensation. Previous sampled-data models have ...

Chronic kidney disease (CKD) is a complex condition marked by a gradual decline in kidney function, which can ultimately ...

There's a new player in the AI race, and it's a whole country. Switzerland has just released Apertus, its open-source national Large Language Model (LLM) that it hopes would be an alternative to ...