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.
The Ecole Polytechnique Fédérale de Lausanne’s (EPFL) Blue Brain Project, a Swiss brain research initiative, recently announced plans to install a new GPU-accelerated supercomputer designed for attaining a deeper understanding of the brain, in par
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
Researchers from Facebook, Stanford, and the University of Washington developed a deep learning based method that can transform audio of musical instruments into skeleton predictions, which can be used to animate an avatar.
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.