But that instinct can mislead us. AI feels like a bubble because we’re forcing something genuinely discontinuous into a ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

AI factories demand 800 volts because physics doesn't care about your upgrade budget Feature Hyperscale computing was built on a foundation of certainty. For years, 12V and 48V rack architectures – ...

Christine Allen, Ph.D., gets the call when conflict disrupts teams, CEOs want to improve their leadership skills and merging companies need to sync their workplace cultures. Allen is president of ...

With time, objects and careful listening, people living with dementia can still share the memories that shape who they are.

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily during economic turning points—financial crises, pandemics, and geopolitical ...

Project Hail Mary is the kind of ambitious science-fiction blockbuster that remembers something many movies in the genre forget: saving the world can be thrilling, emotional, and genuinely funny at ...

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 ...

While the whole world is more and more enamored of AI and all its applications, there exist some very real barriers impeding its full success. Take, for example, AI data center infrastructure, which ...

My academic path studying physics at Tsinghua University began in 1981 where I completed a Bachelor’s and Master’s before earning a PhD in 1992. I then did a postdoc at the Central Iron & Steel ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...