Safety-first AI for autonomous data centre cooling and industrial control
In 2016, DeepMind and Google jointly developed an AI-powered recommendations system to improve the energy efficiency of Google’s already highly-optimised data centres. Now we’re taking this system to the next level: instead of human-implemented recommendations, our AI system is directly controlling data centre cooling, while remaining under the expert supervision of our data center operators. This first-of-its-kind cloud-based control system is now safely delivering energy savings in multiple Google data centers.
作者：DeepMind 来源：DeepMind
发布时间：2018-08-17 21:00:00
A major milestone for the treatment of eye disease
We are delighted to announce the results of the first phase of our joint research partnership with Moorfields Eye Hospital, which could potentially transform the management of sight-threatening eye disease.
作者：DeepMind 来源：DeepMind
发布时间：2018-08-13 23:00:00
How to Automate Surveillance Easily with Deep Learning
This article is a quick tutorial for implementing a surveillance system using Object Detection based on Deep Learning. It also compares the…
作者：Bharath Raj 来源：medium
发布时间：2018-08-10 16:30:05
Objects that Sound
Visual and audio events tend to occur together: a musician plucking guitar strings and the resulting melody; a wine glass shattering and the accompanying crash; the roar of a motorcycle as it accelerates. These visual and audio stimuli are concurrent because they share a common cause. Understanding the relationship between visual events and their associated sounds is a fundamental way that we make sense of the world around us.
作者：DeepMind 来源：DeepMind
发布时间：2018-08-06 23:30:00
Object Detection with 10 lines of code
One of the important fields of Artificial Intelligence is Computer Vision. Computer Vision is the science of computers and software systems…
作者：Moses Olafenwa 来源：medium
发布时间：2018-07-20 22:25:53
DeepMind papers at ICML 2018
The 2018 International Conference on Machine Learning will take place in Stockholm, Sweden from 10-15 July. Here you will find a schedule of DeepMind presentations at ICML.
作者：DeepMind 来源：DeepMind
发布时间：2018-07-09 21:40:00
DeepMind Health Response to Independent Reviewers' Report 2018
In their report last year, the Independent Reviewers asked us important questions about our engagement with stakeholders, data governance, and the behavioural elements that need to be considered when deploying new technologies in clinical environments. We’ve done a lot over the past twelve months to address these questions, and we’re really proud that this year’s Annual Report recognises the progress we’ve made.
作者：DeepMind 来源：DeepMind
发布时间：2018-06-15 19:03:00
Neural scene representation and rendering
We introduce the Generative Query Network (GQN), a framework within which machines learn to perceive their surroundings by training only on data obtained by themselves as they move around scenes. Much like infants and animals, the GQN learns by trying to make sense of its observations of the world around it. In doing so, the GQN learns about plausible scenes and their geometrical properties, without any human labelling of the contents of scenes.
作者：DeepMind 来源：DeepMind
发布时间：2018-06-15 02:00:00
Royal Free London publishes findings of legal audit in use of Streams
Last July, the Information Commissioner concluded an investigation into the use of the Streams app at the Royal Free London NHS Foundation Trust. As part of the investigation the Royal Free signed up to a set of undertakings – one of which was to commission a third party to audit the Royal Free’s current data processing arrangements with DeepMind, to ensure that they fully complied with data protection law and respected the privacy and confidentiality rights of its patients.
作者：DeepMind 来源：DeepMind
发布时间：2018-06-14 01:00:00
Chatbots were the next big thing: what happened?
Oh, how the headlines blared:
作者：Justin Lee 来源：medium
发布时间：2018-06-12 23:04:07
Automated Feature Engineering in Python
How to automatically create machine learning features
作者：Will Koehrsen 来源：medium
发布时间：2018-06-06 07:10:29
Prefrontal cortex as a meta-reinforcement learning system
In our new paper in Nature Neuroscience, we use the meta-reinforcement learning framework developed in AI research to investigate the role of dopamine in the brain in helping us to learn. We propose that dopamine’s role goes beyond just using reward to learn the value of past actions and that it plays an integral role, specifically within the prefrontal cortex area, in allowing us to learn efficiently, rapidly and flexibly on new tasks.
作者：DeepMind 来源：DeepMind
发布时间：2018-05-14 23:00:00
Navigating with grid-like representations in artificial agents
In our fifth paper published in Nature, we developed an artificial agent to test the theory that grid cells support vector-based navigation, in keeping with our overarching philosophy that algorithms used for AI can meaningfully approximate elements of the brain.
作者：DeepMind 来源：DeepMind
发布时间：2018-05-10 01:00:00
DeepMind, meet Android
Announcing a new collaboration between DeepMind for Google and Android, the world’s most popular mobile operating system. Together, we’ve created two new features that will be available to people with devices running Android P later this year: Adaptive Battery, a smart battery management system that uses machine learning to anticipate which apps you’ll need next, providing a more reliable battery experience, and Adaptive Brightness, a personalised experience for screen brightness, built on algorithms that learn your brightness preferences in different surroundings.
作者：DeepMind 来源：DeepMind
发布时间：2018-05-09 02:00:00
Artificial Intelligence — The Revolution Hasn’t Happened Yet
Artificial Intelligence (AI) is the mantra of the current era. The phrase is intoned by technologists, academicians, journalists and…
作者：Michael Jordan 来源：medium
发布时间：2018-05-01 01:00:47
