When organizations are dependent on a community of AI Agents, someone needs to know how they were designed to work. Retaining ...

Intelligence at scale requires more than data scientists; it demands operational maturity to manage the complete lifecycle of ...

Almagul Menlibayeva looks at AI as a way to reflect the biases of its creators.

Artificial intelligence is quickly becoming part of our daily lives, Clancy says. “AI isn’t just a new sound,” he says. “It’s ...

Risks of relying too heavily on AI for software development include bias in the data used to train models, cybersecurity ...

AI requires a lot of data, particularly for training models. The problem is that planar chips are unable to process all that ...

Software development has entered a new era—one where intuition and experience, while still valuable, are no longer enough.

Companies redefine how unstructured data is governed, integrated and activated for agentic AI, signaling a new era of scalable, trusted AI platforms.

Democracies like Taiwan should be less worried about falling behind China’s AI progress, and more worried about the strategic ...

The rapid advancement of AI is redefining job roles and making adaptability more critical than ever. Robert E. Siegel, a ...

There are only so many hours in the day, yet so many new articles published on the web day in and day out. When you come ...

Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.