AI & Robotics

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…

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…

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…

The value of building data-driven businesses with AI at their core is well known today, and business executives are rushing to implement the technology into their operations and gain a competitive advantage, but it’s not as simple as creating a data lake and creating AI models. A large number of AI companies attempting to implement more AI models or build AI-first businesses have experienced…