Are you looking for deep learning solutions for specific problems, or moving DL algorithms from prototype to deployment? Hamlin is a great source of advice.
Hanlin Tang is an algorithms engineer in Intel’s AI products group, where he builds deep learning models in computer vision and applies these models to various domains, ranging from satellite imagery to computational neuroscience. He also leads the group’s AI projects with defense and intelligence agencies. Hanlin joined Intel through its acquisition of deep learning startup Nervana Systems. Hanlin holds a PhD in biophysics from Harvard, where his work investigated recurrent neural networks in human brain. His research has appeared in scientific journals such as Neuron, Scientific Reports, and eLife.
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