Last October Stanford University announced plans to create an institute built for artificial intelligence research and development. Today, the school made good on its pledge, launching the Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI) with a mission “to advance AI research, education, policy, and practice to improve the human condition.”
TensorFlow is the world’s most popular open source machine learning library. Since its initial release in 2015, the Google Brain product has been downloaded over 41 million times. At this week’s 2019 TensorFlow Dev Summit, Google announced a major upgrade on the framework, the TensorFlow 2.0 Alpha version.
Beijing-based AI chip startup Horizon Robotics today announced a staggering US$600 million in Series B funding led by South Korea conglomerate SK Group. The investment brings Horizon’s value to an estimated US$3 billion, making it the world’s highest-valued AI chip startup.
In his 1988 IEEE paper Cellular Neural Networks: Theory, UC Berkeley PhD student Lin Yang proposed Cellular Neural Network theory, a predecessor of the Convolutional Neural Networks (CNN) that would later revolutionize machine learning. Based on this theory, Yang blueprinted a 20*20 parallel simulated circuit chip in the university lab.
The International Gymnastics Federation (FIG) recently approved the use of a “Judging Support System” developed by Fujitsu for a series of FIG gymnastics events in 2019. The system will be tested at the 2019 FIG World Cup Series, then officially launched for the 49th Artistic Gymnastics World Championships in Stuttgart, Germany this coming October.
Andrew Ng is touting his new, free, AI Transformation Playbook. The 12 page online document is a unique package of artificial intelligence tricks aimed at the increasing number of CEOs who want to transform their companies by introducing AI technologies. The AI mastermind and founder of Landing.ai released the playbook today.
Nature will publish the first issue of Machine Intelligence in January 2019. The new journal will cover the “best research from across the field of artificial intelligence,” ranging from machine learning, robotics and human-machine interactions to ethical, legal and societal dimensions of AI.