AI & Robotics

Researchers from MIT, Stanford University, and the University of Pennsylvania have devised a method for predicting failure rates of safety-critical machine learning systems and efficiently determining their rate of occurrence. Safety-critical machine learning systems make decisions for automated technology like self-driving cars, robotic surgery, pacemakers, and autonomous flight systems for…

At the Conference for Machine Intelligence in Medical Imaging 2020, which was held virtually this year, Nvidia researchers presented a paper describing an AI system that captures and transcribes clinical patients’ speech. The system identifies clinical words and maps the words in a standardized health database, tasks the researchers say could alleviate pressure on clinicians as they experience…

AI voices are sounding more realistic today than ever before in the history of synthetic voice technology. What started as simple text-to-speech (TTS), combined with hundreds of hours of recorded dialog, has evolved into more natural-sounding AI voices, synthesized from just a couple hours of audio. You can check out realistic voices audio sample here and here. These are samples from Replica…