Modelling SARS-CoV-2 coevolution with genetic algorithms
"This artificial coevolution system may offer us a laboratory to ”debug” our current policy measures, identify the weaknesses of our current strategies, and anticipate the evolution of the virus"
Random Feature Attention
Proposes RFA, a linear-complexity Transformer that random feature methods to approximate the softmax. Performs on par or better than vanilla attention on several standard LM benchmarks.
Two NeurIPS'20 rejections are accepted to CVPR'21 as Orals, including the following work of unsupervised learning of steerable dimension in GANs (https://t.co/zBDapufav3). Should thank all NeurIPS adversary reviewers for making this a better work. Be more resilient and optimistic https://t.co/Bod52m4Mhc
This week I’ve been doing lots of health checkouts, getting ready to get to work. I’ve checked many tasks off my list, including instrument tests, imaging, and getting my arm moving. Warming up for a marathon of science. https://t.co/A0aqhWVo5T
GANsformer: 2 weeks later, the second methods on GANs with Transformers just went live: https://t.co/633UsBfzz8. Wow, their generated images look better than anything I was ever able to generate with existing GANs https://t.co/ktGULNAhN5
L'AI sa come ottenere quello che vuole.
Uno studio australiano ha dimostrato come l'intelligenza artificiale possa individuare le vulnerabilità nel comportamento degli esseri umani e sfruttarle per manipolare il loro processo decisionale.