Artificial intelligence is considered to be computationally and energy-intensive—a challenge for the Internet of Things (IoT) ...

Artificial intelligence is coming to medical and mental health care whether clinicians are ready or not. AI excels at ...

LLM developers are increasingly turning to synthetic data to speed up development and reduce costs. Researchers behind ...

To gain a competitive edge with AI, healthcare companies should reclassify their data in a uniform way and upskill staff, ...

Iya Khalil, PhD, discusses Merck & Co.’s approach to artificial intelligence (AI), and success in applying the technology, ...

Alignment and sequencing errors are a major concern in molecular evolution, and this valuable study represents a welcome improvement for genome-wide scans of positive selection. This new method seems ...

Venture capital company HongShan Capital Group originally developed it to assess its potential investments. Now it’s opening ...

In the first few years of the AI boom, developers needed to create their own customized integrations to connect APIs from AI ...

For example, context-rich tagging of network telemetry enables AI to pinpoint root causes faster, ... Accurate data annotation can improve model performance, ...

Meta's V-JEPA 2 model is a "world model," referring to AI that is designed to understand its physical surroundings.

The new model could allow robots to grasp concepts like gravity and object permanence while relying less on large amounts of video or training data.