Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
2 Centre for Comprehensive Stroke Rehabilitation and Research, Manipal Academy of Higher Education, Manipal, India Objective Upper limb task-oriented training (UL-TOT) is a complex intervention in ...
Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
Go behind the scenes to learn how filmmakers safely create realistic fire and smoke effects on set. From practical setups and smoke machines to controlled burns and lighting tricks, this video shows ...
Scrubs‘ return is officially in sight as ABC unveils the official premiere date for the highly anticipated revival. The hit comedy revolving around Dr. John Dorian (Zach Braff) will continue as the ...
In today’s dynamic job market, advancement is not linear. Career paths can be diverse, encompassing a range of experiences, industries, and roles. Such a landscape heightens the importance of ...
Abstract: This work introduces a Memory-Aware Gray-Box Neural Network (MAGB-NN) for Analog-to-Digital Converter (ADC) calibration. Three key techniques are utilized to simultaneously ensure high ...
Proficiency with AI tools has quickly become a top skill, and companies are working to train their employees how to use it. At the same time, AI is also emerging as a useful training tool in its own ...
Artificial intelligence is already accelerating the loss of entry-level positions at automakers ― and the industry is looking to recalibrate what it takes to earn a lasting career in carmaking.
With PR #218, the workflow to create a release builds inside a container on Linux. But the workflows that run tests does not run in a container. So there is a difference between how we tests and how ...
Abstract: The pinching-antenna system is a novel flexible-antenna technology, capable of both mitigating large-scale path loss and reconfiguring antenna arrays adaptively. Its core principle relies on ...