As demand for artificial intelligence (AI) increases, chip makers strive to create more powerful and more efficient processors. The goal is to accommodate the requirements of neural networks with better and cheaper solutions, while staying flexible enough to handle evolving algorithms. At Hotchips 2017, many new deep learning and AI technologies were unveiled, showing the different approaches of leading tech firms as well as budding startups. Check out this EETimes survey of Hotchips for a good summary of the event focused on chips for AI data centers.
Read the full article on Embedded.
You might also like
More from Deep Learning
In recent times, the need for real-time decision making, reduced data throughput, and privacy concerns, has moved a substantial portion …