AI & RoboticsNews

Facebook's new robot AI can get around efficiently without using a map

It’s already possible for robots to navigate without maps, but having them navigate well is another matter. You don’t want them to waste time backtracking, let alone fall down if they bump into an unexpected obstacle. Facebook might have a solution. It recently developed a distributed reinforcement learning algorithm that not only reaches its destination 99.9 percent of the time…
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AI & RoboticsNews

Facebook’s AI learns the relationships between physical places from first-person video footage

Computer vision systems generally excel at detecting objects but struggle to make sense of the environments in which those objects are used. That’s because they separate observed actions from physical context — even those that do model environments fail to discriminate between elements relevant to actions versus those that aren’t (e.g., a cutting board on the counter versus a random patch of…
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AI & RoboticsNews

DARPA-backed Soft Robotics raises $23 million for autonomous grippers and sorters

Soft Robotics raised another $23 million to continue developing its solutions to the seemingly intractable problems gripping and sorting machines face. As work published by MIT and others has established, picker robots struggle with complex poses and unfamiliar objects. That’s because they not only have to locate objects and understand how to grasp them, but because they’ve got to set them…
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AI & RoboticsNews

Baidu details its adversarial toolbox for testing robustness of AI models

No matter the claimed robustness of AI and machine learning systems in production, none are immune to adversarial attacks, or techniques that attempt to fool algorithms through malicious input. It’s been shown that generating even small perturbations on images can fool the best of classifiers with high probability. And that’s problematic considering the wide proliferation of the “AI as a…
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