Benchmarks measure what models can do. Interaction-layer evaluation determines whether users will trust what agents actually ...

Neo4j Aura Agent is an end-to-end platform for creating agents, connecting them to knowledge graphs, and deploying to ...

Publishers are exploring automation through agentic AI such as sales agents who actively make decisions in the auction.

As AI systems grow more autonomous, observability becomes essential. Learn how visibility into AI behavior helps detect risk and strengthen secure development.

Agents can build durable businesses by focusing on consistent client systems, reputation through follow through and resilience across cycles.

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...

Karpathy's 'autoresearch' agent did not improve its own code, but it points towards systems that could as well as towards way ...

Google has open sourced CEL-expr-python, a Python implementation of the Common Expression Language (CEL), a non-Turing complete embedded policy and expression language designed for simplicity, speed, ...

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

The specific focus of this PhD research project is on integration of non-terrestrial networks (NTN) (aka satellite communication networks) with terrestrial networks (TN) (5G/6G mobile networks). Fully ...