An innovative open-source AI engine uses swarm intelligence and thousands of digital agents to accurately predict market trends and public opinion.

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Savvy developers are realizing the advantages of writing explicit, consistent, well-documented code that agents easily understand. Boring makes agents more reliable.

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

At embedded world, on the DigiKey booth, Lucy Barnard speaks with Marta Barbero at Arduino, about the new Arduino product announcement.

VOID#GEIST malware campaign delivers XWorm, AsyncRAT, and Xeno RAT using batch scripts, Python loaders, and explorer.exe ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

A behind-the-scenes look at how a Cisco automation engineer replaced fragile CLI workflows with model-driven infrastructure that scales. NEW YORK, NY, UNITED STATES, March 11, 2026 /EINPresswire.com/ ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Microsoft 's MSFT Azure AI services are gaining meaningful enterprise traction, and the momentum is increasingly shaping the ...

An undefined Chinese-speaking actor wields a combo of custom malware, open source tools, and LOTL binaries against Windows ...