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Biological neural networks may serve as viable alternatives to machine learning models

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
Tech Xplore

Living brain cells enable machine learning computations

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
BioSpace

3 Career Moves R&D Professionals Must Make in a Skills-Based, AI-Driven Economy

As AI reshapes deeply specialized scientific work, R&D professionals must learn to navigate the shift to a skills-centered ...
Tech Xplore

Robots with different bodies can now share skills: What intention-based learning changes

Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry ...

A new wave of AI schools is balancing life skills and machine-led learning — for as ...

Parents worry about AI’s impact. But no one — educator or parent — is sure what to do about it yet,” said Emily Glickman, a private school consultant about the growing wave of AI ...

100x Less Power: The Breakthrough That Could Solve AI’s Massive Energy Crisis

A new hybrid AI approach may drastically cut energy use while improving reliability. Artificial intelligence is not just changing software. It is also driving a sharp rise in electricity use. In the ...
EurekAlert!

Editorial for the special issue on 6G: From theory to practice

This special issue focuses on the latest research progress in 6G technology development, standard formulation, and engineering practice, based on our previous special issue titled 6G Requirements, ...
Scientific Research Publishing

Developing Intelligent Algorithm for Enhancing Robotic Factors Affecting Task Performance ...

1 School of Electrical Engineering and Automation, Suzhou University of Technology, Suzhou, China. 2 Faculty of Telecommunication, Engineering and Space Technology, Future University, Khartoum, ...
IEEE

An AGV Task Scheduling Method Based on Multi-Agent Reinforcement Learning

Abstract: In order to improve the transportation efficiency of hospital AGV logistics system, we have studied the task scheduling of AGVs. We mathematically describe the multi-vehicle scheduling ...
The New York Times

Learning football from video games now a legit teaching method for coaches, athletes

Video game controllers past and present have assisted in young athletes learning the ins and outs of the game of football. Jasen Vinlove / USA Today When David Pollack was a standout defender at the ...
IEEE

A Explainable Method for Task Planning Scheme Based on Hierarchical Reinforcement Learning

Abstract: In view of the low transparency and insufficient explainability of task planning schemes based on intelligent algorithms, this paper proposes a explainable method of task planning schemes ...