You’ve heard of qubits, now get ready for p-bits! These units form the building blocks of probabilistic computers that can solve certain problems more efficiently than traditional computers. A team of ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...

For more than 20 years — and after working with more than 10,000 participants who attended my Kaizen workshops — I’ve refined a simple yet powerful tool that makes problem-solving useful for everyone.

The race to build a quantum internet has shifted from theory to engineering, as researchers learn how to send fragile quantum ...

AI into web searches, but the AI chatbot now offers far more. It is extremely capable in complex problem solving, deep ...

The Two-Factor Theory was proposed based on engineers and accountants engaged in mental work, so it is feasible to apply the Two-Factor Theory to the research of university administrators who also ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AMD has been steadily expanding its FidelityFX Super Resolution technology since 2021, but “Redstone” represents the biggest ...

In this episode of the Wine and Gold Talk podcast, Ethan Sands and Jimmy Watkins are joined by The Athletic’s Joel Lorenzi ...

This valuable study provides solid evidence for deficits in aversive taste learning and taste coding in a mouse model of autism spectrum disorders. Specifically, the authors found that Shank3 knockout ...