In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
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.
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Adam M. Root argues businesses must anchor ML in customer problems, not technology. He details a strategy using ...
By fusing behavioral data, real-time analytics and generative AI, the industry is entering a new era: attention hacking at scale.
Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...
Interview Kickstart works with a network of more than 700 instructors, many of whom are hiring managers and senior engineers at major technology companies. Programs include live classes, recorded ...
What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...
Vangalapat led the development of a comprehensive MLOps infrastructure at Broadridge, building CI/CD pipelines, automated ...