“You’ll see AI infused into all our products and services across the company, from tools to help people be more productive at work, to Azure services that give our customers the flexibility to deploy AI capabilities in any environment,” said Microsoft Communications Corporate Vice President Frank Shaw.
“We’ve made huge progress, much more than even my friends and I expected a few years ago. But (the progress) is mostly about perception, things like computer vision and speech recognition and synthesis of some things in natural processing. We’re still far from human capabilities.”
Parsing fine-grained temporal actions is vital in application scenarios that require an understanding of detailed and precise operations over long-term periods, such as daily activity understanding, surgical robots, human motion analysis and animal behavior analysis.
Alphabet’s autonomous driving unit Waymo surprised many by releasing a new high-quality multimodal sensor dataset for autonomous driving. The *Waymo Open Dataset *was introduced at top AI conference Computer Vision and Pattern Recognition (CVPR) 2019 in Long Beach, California.
The more than 2,000 participants from over 120 countries were here for the *AI for Good Global Summit in Geneva 2019* — four days of presentations and discussions on how to make the world a better place for children to grow up in by leveraging the emerging power of machine learning.
The two-day RE•WORK Deep Learning Summit Boston 2019 gathered more than 60 speakers from top AI labs such as MIT CSAIL, Uber AI Labs, Adobe Research and other experts from the AI healthcare industry who provided high-level deep learning technical discussions and industry application insights.