Meta on Thursday announced the next version of its multimodal Spark AI model, Muse Spark 1.1, calling it a significant ...

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

As agentic AI and autonomous agents trend in 2026, enterprises face a major new hurdle: standard IAM stacks aren't built to ...

Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...

What Happened? A number of stocks jumped in the afternoon session after Guggenheim's John DiFucci upgraded both Salesforce ...

Couchbase AI Data Plane combines persistent agent memory, vector search and an enterprise MCP server that runs on-device when ...

This week they did something that makes no competitive sense: they collectively wired more than $1 billion into a single Israeli company, at a $2.7 billion valuation, on terms that guarantee none of ...

Outcome-based resolution pricing means companies pay only when the AI agent resolves an issue autonomously, without human intervention.

A number of stocks fell in the afternoon session after a confluence of high-profile AI talent departures from Alphabet, and a regulatory overhang pulled the entire communication-services and software ...

Databricks enhances its AI platform with the AI agent Genie One, which is intended to make company data usable thanks to the new context layer Ontology.

Speaking to reporters, Ghodsi said Databricks is working with local partners in India, including Reliance, as enterprises and government organisations seek sovereign AI and cloud infrastructure.

Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models to ...