How does deep learning work? (VIDEO)
Caption
Researchers from Bar-Ilan University have developed a groundbreaking method to drastically reduce the size and energy consumption of deep learning systems—without compromising performance. Published in Physical Review E, their study reveals that by better understanding how deep networks learn, it's possible to prune up to 90% of parameters in certain layers while maintaining accuracy. This advancement, led by Prof. Ido Kanter and PhD student Yarden Tzach, could make AI more efficient, sustainable, and scalable for real-world applications.
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Prof. Ido Kanter, Bar-Ilan University
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