Frustrations with generative artificial intelligence flaws run high and solutions are in high demand. First came the move from large language models to small language models to curb errors through ...

Single coding agents can speed up software delivery, but they hit a ceiling fast. One agent can generate code but it usually cannot validate service dependencies, runtime constraints, security ...

AI agents need access to data across cloud, on-premises and edge environments. Borderless data architectures bring modern AI capabilities to data that can’t move.

Agentic artificial intelligence is expected to have a major impact because it can execute complex tasks autonomously. For now, the hype is outstripping successful implementations, and there are a lot ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

Enterprise teams building multi-agent AI systems may be paying a compute premium for gains that don't hold up under equal-budget conditions. New Stanford University research finds that single-agent ...

The next great computing platform may not be an app store, a cloud marketplace, or even a foundation model. It may be the runtime that allows autonomous AI agents to persist, communicate, make ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Physical data layout is one of the most ...

Manus 2.0 launches with Cascade agent architecture, cutting AI costs by 32% and task time by 28.2%, plus a new standalone ...

Aragon Research, Inc. today released The Aragon Research Globe™ for Revenue Enablement Platforms, 2027, a comprehensive market evaluation revealing that revenue enablement has become the definitive ...

Platform Brings Together NVIDIA Vera Rubin, Vera CPUs and BlueField-4 to Power Enterprise Infrastructure to Build, Run, ...