We as an industry need to stop looking for "AI SMEs" and start looking for "mission strategists with AI literacy." ...

The internet isn't uniform; algorithms constantly pivot based on local laws and cultural habits. In South Korea, for example, ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

The structure of X's "For You" algorithm can now be traced on GitHub. However, how exactly the algorithm evaluates which ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

Algorithms, however, carry no conscience of their own. They simply execute what they are taught. They reflect the priorities, fears, and ambitions of their creators. When leadership forgets this, ...

To keep AI coding assistants from running amok, developers must learn to write good specs and develop product management ...

There is growing concern that AI-generated government decisions will reflect and intensify forms of discrimination and bias, ...

AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...