This important study reveals distinct representations of task-related information in the dendrites and somata of cortical neurons during sensorimotor learning and behavioral adaptation. The evidence ...

This valuable study uses naturalistic movie-viewing fMRI and stacked encoding models to investigate sensory feature representations in autistic and non-autistic youth, showing a relative shift toward ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Welcome back to Defending the Algorithm™ - a LinkedIn newsletter from Pittsburgh law firm, Houston Harbaugh, PC, helping ...

Artificial Intelligence has become one of the most powerful forces shaping the contemporary digital era. It represents a major shift in human civilisation where machines are no longer limited to ...

Optiver's Production Engineering teams manage our live trading environment, which is active across 50+ global exchanges and hundreds of thousands of interconnected financial products. Our world-class ...

A software engineer transformed a layoff into a career relaunch. He dedicated 45 days to intensive learning in data ...

Abstract: This letter presents Open-Structure, a novel benchmark dataset for evaluating visual odometry and SLAM methods. Compared to existing public datasets that primarily offer raw images, ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

A new computational method reveals a faster way to explore intricate quantum systems, pointing toward emerging applications in next-generation computing. Credit: Stock A new quantum-inspired algorithm ...