A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Researchers have demonstrated that even on current noisy quantum computers, they get usable results for financial modelling ...

Researchers from Skoltech and the Shanghai Institute of Optics and Fine Mechanics have developed an approach that helps ...

Disney has filed a new patent for a system that uses cameras and machine learning to automatically verify that ride ...

How can you protect the sanctity of a raw photograph from AI interference when it’s already been automatically run through AI inside the camera? New research seeks to restore ‘true’ sensor data – also ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Following award-winning performances at their regional science fair, three students from InTech Collegiate Academy — Hydyr ...

Light has always carried more than brightness. In this case, it also carries direction and twist. That mix may open a new path for storing far more data in the same physical space. A research team led ...

Every time a smartphone snaps a photo, millions of tiny light detectors capture the scene and then ferry all that raw data ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Abstract: Categorical variables are a common feature in real-world datasets; however, most machine learning algorithms require numerical inputs. The method used to convert these categorical features ...