Humanity’s drive to explore has taken us across the solar system, with astronaut boots, various landers and rovers’ wheels ...

Anthropic launched Cowork, bringing the autonomous capabilities of its developer-focused Claude Code tool to non-technical ...

Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < ...

Inside Michigan Tech's Aging, Cognition and Action Lab, space debris rains down on a screen as players scramble to deflect it ...

Assistant Professor of Electrical and Computer Engineering Jason Eshraghian is reimagining how artificial intelligence can ...

In the United States, 11% of adults over age 45 self-report some cognitive decline, which may impact their ability to care ...

Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...

When it comes to developing faster and smaller chips to power next-generation electronic devices, Silicon is seen as the leading option. This abundant, cheap semiconductor provides acceptable carrier ...

Mircea R. Stan is the Virginia Microelectronics Consortium Professor and director of the computer engineering program in the Department of Electrical and Computer Engineering at the University of ...

We introduce a new benchmark, MoToMQA, to assess human and LLM ToM abilities at increasing orders. MoToMQA is based upon the format of the Imposing Memory Task (IMT), a well-validated psychological ...

Abstract: Data anonymization is an essential prerequisite that enables data sharing in a privacy-preserving manner. However, anonymization affects the quality of the data and thus might affect the ...

Abstract: Neurofeedback training (NFT) has been widely used in motor rehabilitation. However, NFT combined with motor imagery-based brain-computer interface (MI-BCI) faces challenges such as mental ...