Developers at Wayve, a UK-based startup, recently taught a car to perform autonomous vehicle functions from scratch in under 20 minutes, resulting in the first application of reinforcement learning on a full-sized autonomous vehicle.
In the field of computer vision (CV), an ongoing challenge is to build systems that can extract meaningful information from images as humans do, like distinguishing a street sign from a stop sign, or identifying lane boundaries.
Monitoring infrastructure quality in developing regions is a major goal for international aid organizations, unfortunately gathering up to date and reliable data is expensive and a time-consuming process.
Measuring how tumors react to cancer treatment plays a major role in determining a patient’s outcome. The process, normally performed by trained radiologists, is labor-intensive, subjective and prone to inconsistency.
Researchers from Loughborough University, Western General Hospital, the University of Edinburgh, and the Edinburgh Cancer Centre in the United Kingdom, recently developed a deep learning-based method that can analyze compounds in the human breath
Developers from the California-based non-profit OpenAI announced today that their five deep learning neural networks they call “OpenAI Five” beat amateur human teams at the popular battle arena game Dota 2.