25 Questions to test a Data Scientist on Image Processing
Introduction Extracting useful information from unstructured data has always been a topic of huge interest in the research community. One such example of unstructured …
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WaveNet launches in the Google Assistant
Just over a year ago we presented WaveNet, a new deep neural network for generating raw audio waveforms that is capable of producing better and more realistic-sounding speech than existing techniques. At that time, the model was a research prototype an…
Why we launched DeepMind Ethics & Society
At DeepMind, were proud of the role weve played in pushing forward the science of AI, and our track record of exciting breakthroughs and major publications. We believe AI can be of extraordinary benefit to the world, but only if held to the highest eth…
The hippocampus as a predictive map
Think about how you choose a route to work, where to move house, or even which move to make in a game like Go. All of these scenarios require you to estimate the likely future reward of your decision. This is tricky because the number of possible scena…
Artificial Intelligence as a Service – AIaaS
AI is a friendly technology that is here to be accepted without fail and all future products will be based on AI. How AI will be transforming the future of finTech
Nonlinear Computation in Deep Linear Networks
We’ve shown that deep linear networks — as implemented using floating-point arithmetic — are not actually linear and can perform nonlinear computation. We used evolution strategies to find parameters in linear networks that exploit this trait, letting us solve non-trivial problems.
Neural networks consist of stacks of a linear layer followed by