Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

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 ...

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 ...

Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using cross-functional pods that helped a client save $300M by accurately predicting demand.

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

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

PRESSADVANTAGE – netpulse AG, a Swiss digital marketing agency, has expanded its artificial intelligence capabilities to transform search engine optimization and Google Ads campaign management for ...