A collection of articles showing how medical researchers, computer scientists, psychologists and other Stanford researchers collaborate to deploy artificial intelligence to map poverty in Africa, find safer alternatives to conventional rechargeable batteries and understand how the human mind works.
This fascinating analysis by OpenAI shows that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.5 month-doubling time (by comparison, Moore’s Law had an 18-month doubling period). Improvements in compute have been a key component of AI progress, so as long as this trend continues, it’s worth preparing for the implications of systems far outside today’s capabilities.
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Events & Conferences
Deep Learning World in Las Vegas, June 3-7, is the premier conference covering the commercial deployment of deep learning. See speakers from Capital One, Cisco, John Hancock, Lyft, Microsoft, Monsanto, Seagate, Stanford, Uber, Vevo and more.
In this post Google researchers outline how they developed the deep learning system powering Smart Compose, a new feature in Gmail that interactively offers sentence completion suggestions as you type.
Infinia ML is seeking a Technical Project Manager with a desire to join a new and growing company focused on deploying cutting-edge machine learning and deep learning technology to Fortune 500 companies.
Computer vision has advanced significantly that many discriminative approaches such as object recognition are now widely used in real applications. The authors present another exciting development that utilizes generative models for the mass customization of medical products such as dental crowns. The proposed systems learns not only from human designs of dental crowns, but also from natural spatial profiles between opposing teeth.
Researchers from NVIDIA developed a first of its kind deep learning-based system that can teach a robot to complete a task by just observing the actions of a human. The method is designed to enhance communication between humans and robots and at the same time further research that will enable people to work alongside robots seamlessly.
Deep Learning Weekly aims at being the premier news aggregator for all things deep learning. We keep tabs on major developments in industry be they new technologies, companies, product offerings or acquisitions so you don't have to. In addition our 'Learning' section features new content that makes difficult to understand areas in deep learning accessible to a wider audience and our 'Papers & Publications' section brings you the most exicting new research. If you have any thoughts or ideas how we might improve this newsletter we are interested in hearing them. Thank you in advance!
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