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, ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

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

In most life sciences organizations, each function has built its own analytics environment with separate data models, dashboards, and reporting processes. Sales teams often rely on one set of ...

A growing body of research is raising alarms about what happens when companies layer generative AI tools across every corner of the workday. The term gaining traction among workplace researchers is ...

By integrating Quotient’s evaluation and reinforcement‑learning tech, Databricks hopes to address a growing CIO challenge: ...

With the right signals, teams can see how strategies are working, where client relationships need to be strengthened and what operational adjustments may be needed.

But now, when I sit down with engineering leads and ask if their RAG agent is actually working, they tend to give me vibes, not data. They tell me, "It feels faster" or "The summary looks detailed.” ...

Valory co-founder David Minarsch says autonomous agents running on the Olas protocol are giving retail traders a 24/7, strategy-driven edge on platforms like Polymarket.

Perion Networks this week extended the agentic capabilities of its "Outmax" AI agent from commerce, retail media and connected television platforms to a social platform with nearly 1.6 billion users ...

Mount Sinai study multi-agent AI shows higher accuracy and lower computing use managing up to 80 clinical tasks simultaneously in simulations.