This course covers three major algorithmic topics in machine learning. Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...

PRESSADVANTAGE – netpulse AG, a Swiss digital marketing agency, has expanded its artificial intelligence capabilities to ...