The company also announced the appointment of AI industry pioneers to its Board of Directors:
Fei-Fei Li, Sequoia Professor Computer Science at Stanford University, Co-Director of Stanford Institute for Human-Centered AI (HAI), former Director of Stanford AI Lab (SAIL), former Chief Scientist of AI at Google Cloud, Twitter Board Director, and creator of ImageNet.
Sebastian Thrun, Founder of GoogleX and Waymo (Google s self-driving car division), co-founder of Udacity and CEO of Kitty Hawk, former Director of Stanford s AI Lab (SAIL)
Nimble s mission is to democratize affordable, on-demand fulfillment for every ecommerce retailer. Nimble s fleet of AI-powered robots intelligently pick, pack, and handle millions of products, spanning from apparel and electronics to beauty, general merchandise and grocery items. Today, Nimble robots are deployed in fulfillment centers across the United States picking over 100,000 items per day for customers including several Fortune 500 retailers.
Nimble ® Robotics Raises $50 Million to Build the Future of On-Demand Robotic Fulfillment
apnews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from apnews.com Daily Mail and Mail on Sunday newspapers.
Assessing regulatory fairness through machine learning
eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.
Google image search cements national stereotypes of racy women
Women from eastern Europe and Latin America are sexy and love to date, a search through Google Images implies. A DW analysis reveals how the search engine propagates sexist cliches.
In Google image search results women of some nationalities are depicted with racy pictures, despite non-objectifying images existing
Google Images is the public face of everything: When you want to see what something looks like, you will probably just Google it. A data-driven investigation by DW that analyzed over 20,000 images and websites reveals an inherent bias in the search giant s algorithms.