IBM’s new AI toolbox puts your deep learning network to the test
IBM today announced the launch of its Adversarial Robustness Toolbox for AI developers. The open-source kit contains everything a machine learning programmer needs to attack their own deep learning neural networks (DNN) to ensure they’re able to withstand real-world conditions. The toolbox comes in the form of a code library which includes attack agents, defense utilities, and benchmarking tools that allow developers to integrate baked-in resilience to adversarial attacks. The company says it’s the first of its kind. According to IBM Security Systems CTO Sridhar Muppidi: One of the biggest challenges with some of the existing models to defend against… This story continues at The Next WebOr just read more coverage about: IBM
SINGAPORE (Sept 24): The Competition and Consumer Commission of Singapore (CCCS) has fined Uber and Grab a total of S$13 million after the merger of the ride-hailing firms was judged to have led to a “substantial lessening of competition”.
Grab in March acquired Uber’s Southeast Asian business, which saw the integration of Uber’s regional ride-sharing and food delivery business into Grab’s existing multi-modal transportation and fintech platform.