Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

It can take years for humans to solve complex scientific problems. With AI, it can take a fraction of the time.

Ferguson: This is a big part of what’s driving consolidation within the EDA industry. You see Siemens and Mentor and Altair ...

The latest video coding standard, versatile video coding (VVC), was developed to achieve higher video compression efficiency and support more media applications than its predecessor, high-efficiency ...

Lazzoni reports on the evolution of design thinking from product-focused to a broad problem-solving framework across various industries, emphasizing empathy and user needs.

Astronomy has a major data problem. Simulating realistic images of the sky can help train algorithms Story by John Peterson • 1d ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.

The problem here has nothing to do with technology. It’s not about how sophisticated your algorithms are, how advanced your equipment is, or how much research funding you got.

As semiconductor feature sizes continue to shrink, accurate and efficient simulations of quantum transport become increasingly critical in device design and manufacturing. The nonequilibrium Green’s ...

Thinking creatively, solving complex problems, and working in teams… all add up to Design Thinking (DT). A study conducted by the Escuela Superior Politécnica del Litoral (ESPOL) and ...

Collaborative problem-solving is a framework for addressing complex problems and is the secret sauce to strong productivity, culture and innovation.