News & features
Optimistic Actor Critic avoids the pitfalls of greedy exploration in reinforcement learning
| Kamil Ciosek
One of the core directions of Project Malmo is to develop AI capable of rich interactions. Whether that means learning new skills to apply to challenging problems, understanding complex environments, or knowing when to enlist the help of humans, reinforcement…
Icebreaker: New model with novel element-wise information acquisition method reduces cost and data needed to train machine learning models
| Cheng Zhang and Sebastian Tschiatschek
In many real-life scenarios, obtaining information is costly, and getting fully observed data is almost impossible. For example, in the recruiting world, obtaining relevant information (in other words, a feature value) for a company could mean performing time-consuming interviews. The…
Game on with Dr. Chris Bishop and Phil Spencer
Dr. Chris Bishop is a Microsoft Technical Fellow and director of MSR Cambridge, where he oversees an impressive portfolio of research including machine learning, AI, healthcare and gaming. Phil Spencer is the Executive Vice President of Gaming at Microsoft where…
Beyond spell checkers: Enhancing the editing process with deep learning
| Miltos Allamanis, Marc Brockschmidt, and Alex Gaunt
“Here’s my conference paper—what do you think?” After hours of agonizing over words and illustrations, sharing a draft document is a moment of great pride. All too often, this is shortly followed by embarrassment when your colleague gets back to…
Minimizing trial and error in the drug discovery process
| Alex Gaunt, Marc Brockschmidt, and Miltos Allamanis
In 1928, Alexander Fleming accidentally let his petri dishes go moldy, a mistake that would lead to the breakthrough discovery of penicillin and save the lives of countless people. From these haphazard beginnings, the pharmaceutical industry has grown into one…
Malmo, Minecraft and machine learning with Dr. Katja Hofmann
Episode 39, August 29, 2018 – Dr. Hofmann talks about her vision of a future where machines learn to collaborate with people and empower them to help solve complex, real-world problems. She also shares the story of how her early…
Learning from Source Code
Over the last five years, deep learning-based methods have revolutionised a wide range of applications, for example those requiring understanding of pictures, speech and natural language. For computer scientists, a naturally arising question is whether computers learn to understand source…
In the news | BBC News
AI experiments roam Minecraft’s lands
Minecraft has gained a tool that lets artificial intelligence experiments be carried out in its virtual worlds.
In the news | The Verge
Microsoft will now let anyone test their AI creations in Minecraft
Microsoft has announced a public release for Project Malmo, the company’s system for testing AI software in Minecraft—and for the first time, anyone can join in.
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