A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

The same family of artificial intelligence that powers today's image generators is now being aimed at one of biology's ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...

We put eight heavy-hitting dual-cab utes to the test to find the definitive king of the Australian bush and 'burbs.

As we scour and scorch the Earth for deeper wells of energy, investors and government agencies are pouring billions into ...

Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the ...

Agentic AI is so prevalent that some business leaders now count AI agents as part of their regular workforce. Yet, without attention to the diversity of this burgeoning agentic workforce, business ...

Abstract: Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine ...

The long-awaited V4 is more efficient and a win for Chinese chipmakers. On April 24, Chinese AI firm DeepSeek released a preview of V4, its long-awaited new flagship model. The model can process much ...

Google’s Gemini AI models have improved by leaps and bounds over the past year, but you can only use Gemini on Google’s terms. The company’s Gemma open-weight models have provided more freedom, but ...