Personalization isn’t just a nice-to-have; it’s expected. Users want apps and websites that understand them, adapt in real ...

Lillian Bates started sewing in a home economics class at Alton High School, making a lime-green outfit as one of her first projects. Today, the 68-year-old Bates owns By Design, offering alterations, ...

Data platform vendor Informatica is expanding its AI capabilities as the needs of gen AI continue to increase enterprise ...

How AI is reshaping EDA, and how it will help chipmakers to focus on domain-specific solutions.

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate ...

A new generation of integration automation software combined with interconnect IP supports faster time-to-silicon for ...

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...