The Information Commissioner, the Royal Free, and what we’ve learned
Today, dozens of people in UK hospitals will die preventably from conditions like sepsis and acute kidney injury (AKI) when their warning signs aren’t picked up and acted on in time. To help address this, we built the Streams app with clinicians at the…
Peering into neural networks
New technique helps elucidate the inner workings of neural networks trained on visual data.
Faster Physics in Python
We’re open-sourcing a high-performance Python library for robotic simulation using the MuJoCo engine, developed over our past year of robotics research.
This library is one of our core tools for deep learning robotics research, which we’ve now released as a major version of mujoco-py, our Python
Faster Physics in Python
We’re open-sourcing a high-performance Python library for robotic simulation using the MuJoCo engine, developed over our past year of robotics research.
This library is one of our core tools for deep learning robotics research, which we’ve now released as a major version of mujoco-py, our Python
Q&A: Running a company in an era of “crazy technological progress”
New book by Andrew McAfee and Erik Brynjolfsson surveys tech’s challenges for business.
Computer system predicts products of chemical reactions
Machine learning approach could aid the design of industrial processes for drug manufacturing.
Interpreting Deep Neural Networks using Cognitive Psychology
Deep neural networks have learnt to do an amazing array of tasks – from recognising and reasoning about objects in images to playing Atari and Go at super-human levels. As these tasks and network architectures become more complex, the solutions that ne…