For all the talk of artificial intelligence becoming increasingly brain-like, there’s one area where it frequently falls short: memory. Neural networks usually have to learn everything they need to know about their duties, rather than building on top of existing experiences like real brains do. Alphabet’s DeepMind team hopes to fix that. They’ve crafted an algorithm that lets a neural network ‘remember’ past knowledge and learn more effectively. The approach is similar to how your own mind works, and might even provide insights into the functioning of human minds.
via Engadget
March 20, 2017
featured blogs
Apr 24, 2024
Learn about maskless electron beam lithography and see how Multibeam's industry-first e-beam semiconductor lithography system leverages Synopsys software.The post Synopsys and Multibeam Accelerate Innovation with First Production-Ready E-Beam Lithography System appeared fir...
Apr 24, 2024
Diversity, equity, and inclusion (DEI) are not just words but values that are exemplified through our culture at Cadence. In the DEI@Cadence blog series, you'll find a community where employees share their perspectives and experiences. By providing a glimpse of their personal...
Apr 18, 2024
Are you ready for a revolution in robotic technology (as opposed to a robotic revolution, of course)?...