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The Road Ahead for Neural Networks in Embedded SystemsThe Design Chronicles - Christine YoungMay. 03, 2016 |
Deep learning technologies are helping to make cars more reliable, buildings safer, social media channels more intuitive, and so on. “The capabilities that this technology has enabled is so powerful,” said Samer Hijazi, an engineering director in the IP Group at Cadence. “The challenges it brings are so unique and relevant to us.”
Hijazi addressed the topic, “Neural Network Technology for Embedded Systems: What Does Deep Learning Mean to Cadence,” on Wednesday, April 27, during a lunchtime talk at the company’s San Jose headquarters. The answer to that question, he noted, goes back to his take on Cadence’s mission—to enable the high-tech industry to develop better, faster, cooler silicon systems sooner.
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