The Great A.I. Awakening
How Google used artificial intelligence to transform Google Translate, one
of its more popular services – and how machine learning is poised to
reinvent computing itself.
DeepMind Papers @ NIPS (Part 3)
Scaling Memory-Augmented Neural Networks with Sparse Reads and WritesAuthors:J Rae, JJ Hunt, T Harley, I Danihelka, A Senior, G Wayne, A Graves, T LillicrapWe can recall vast numbers of memories, making connections between superficially unrelated event…
DeepMind Papers @ NIPS (Part 2)
The second blog post in this series, sharing brief descriptions of the papers we are presenting at NIPS 2016 Conference in Barcelona.Sequential Neural Models with Stochastic LayersAuthors:Marco Fraccaro, Sren Kaae Snderby, Ulrich Paquet, Ole WintherMuc…
Open-sourcing DeepMind Lab
DeepMind’s scientific mission is to push the boundaries of AI, developing systems that can learn to solve any complex problem without needing to be taught how. To achieve this, we work from the premise that AI needs to be general. Agents should operate…
DeepMind Papers @ NIPS (Part 1)
Over the next three blogposts, we’re going to share with you brief descriptions of the papers we are presenting at the NIPS 2016 Conference in Barcelona.
Deep Learning for Detection of Diabetic Eye Disease
Diabetic retinopathy (DR) is the fastest growing cause of blindness, with
nearly 415 million diabetic patients at risk worldwide. If caught early,
the disease can be treated; if not, it can lead to irreversible blindness.
Unfortunately, medical specialists capable of detecting the disease are not
available in many parts of the world where diabetes is prevalent. We
believe that Machine Learning can help doctors identify patients in need,
particularly among underserved populations.