An overview of attention detection using EEG signals, which includes six steps: an experimental paradigm design, in which the task and the stimuli are defined and presented to the subjects; EEG data ...

Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to learn and update at different speeds.

A deep-learning model called Geneformer has been developed and pretrained using about 30 million single-cell gene-expression profiles to enable it to make predictions about gene-network biology in ...

I like to divide my machine learning education into two eras: I spent the first era learning how to build models with tools like scikit-learn and TensorFlow, which was hard and took forever. I spent ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new machine learning model developed at the University of Michigan. The team hopes ...

It’s no secret that machine-learning models tuned and tweaked to near-perfect performance in the lab often fail in real settings. This is typically put down to a mismatch between the data the AI was ...

Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to ...

SAN FRANCISCO, Feb. 18, 2025 /PRNewswire/ -- Wrong-site surgery (WSS), a critical "Never Event," represents a failure that should never occur in healthcare. Yet, due to underreporting, the true ...

The European Union Aviation Safety Agency (EASA) and Daedalean published their second joint report Concepts of Design Assurance for Neural Networks (CoDANN) II, on May 21 to explain key machine ...