Deep Learning Research Engineer, Intel AI Lab
Gal is a research engineer at the Intel Nervana algorithms team. He has a great passion for AI, and specifically for training and implementing Reinforcement Learning agents. He has optimized and trained low precision neural networks, enabling deep learning inference, on various Intel devices. He has been with Intel for 10 years, and before joining Intel Nervana, was mainly focused on power management algorithms optimization for Intel CPUs. In his spare time, Gal enjoys baking sourdough breads, hiking and watching movies with his wife. He has a B.Sc. in Electrical Engineering from the Technion – Israeli Institute of Technology.
Expertise:
At the Intel AI Lab, we are committed to enabling the use of state-of-the-art artificial intelligence algorithms in data science.…
Today, the Intel® AI Lab is excited to announce the latest Reinforcement Learning Coach release, packed with new features and goodies…
Since the release of Coach a couple of months ago, we have been working hard to push it into new…
Today, Intel is announcing the release of our Reinforcement Learning Coach — an open source research framework for training and…
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