Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work.

Abstract: Machine learning (ML) with approximation and numerical simulations plays an important role in aircraft design. ML techniques, such as deep learning and reinforcement learning, are ...

Radiotherapy delays hide a deeper flaw: an imbalanced market where public hospitals are overwhelmed and private capacity goes ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

NYU Langone’s Section of Digitally Enabled Care team brings together the disciplines of behavioral economics, public health, ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

Abstract: In the last decades, field-programmable gate arrays (FPGAs) have become increasingly important to the electronics industry, offering higher performance and lower power consumption as ...

Artificial intelligence has just cracked a problem that has frustrated condensed matter theorists for decades, turning a long-standing maze in frustrated magnet physics into a solved benchmark. By ...

Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here's how they did it.

Editor’s Note: The following is based on “Design for Manufacturing: Punch/Shear Combination Machines,” presented at FABTECH 2025, www.fabtechexpo.com, by Fred Cooke, systems sales manager for Prima ...

Artificial intelligence has reached a point where it can produce text that feels natural, confident, and convincing. But, behind the polished text, there is a growing problem that researchers now call ...