SMU Athletic Director Damon Evans and Deputy AD Brian Ullmann explain the new financial models, private equity conversations, and renovations needed at Ford Stadium.

Finding the right information at the right time is critical for solving complex problems. Researchers have developed an algorithm that helps individuals locate needed information more efficiently by ...

AI leaders boast about their models’ superhuman technical abilities. The technology can predict protein structures, create ...

Abstract: Most computer vision applications that use deep learning on constrained device come from the Internet of Things (IoT) or robotics fields, where low-quality cameras are used to capture input ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Yet in mining labs around the world, primary sample crushing still comes with a host of headaches: abrasive materials wear down equipment far too early, maintenance shutdowns delay critical analytical ...

Success with agents starts with embedding them in workflows, not letting them run amok. Context, skills, models, and tools are key. There’s more.

Though the US military's big data initiative Maven has sped up the planning of strikes for years, the comments suggest that ...

Imaging spectroscopic ellipsometry delivers nanometer-level sensitivity and spatial resolution, addressing the limitations of conventional metrology techniques.

Meta’s former chief AI scientist has long argued that human-level AI will come from mastering the physical world, not language. His new startup, AMI, aims to prove it.

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

To model bacterial life, Thornburg and his colleagues turned to one of its simplest examples: a bacterial cell with a ...