Research Collection: The Unseen History of Audio and Acoustics Research at Microsoft
Getting the sound right is a crucial ingredient in natural user interfaces, immersive gaming, realistic virtual and mixed reality, and ubiquitous computing.
Microsoft Research Blog
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MineRL sample-efficient reinforcement learning challenge—back for a second year—benefits organizers, as well as larger research community
To unearth a diamond in the block-based open world of Minecraft requires the acquisition of materials and the construction of tools before any diamond mining can even begin. Players need to gather wood, which they’ll use to make a wood pickaxe for mining stone underground.… -
Research Collection: The Unseen History of Audio and Acoustics Research at Microsoft
Getting the sound right is a crucial ingredient in natural user interfaces, immersive gaming, realistic virtual and mixed reality, and ubiquitous computing. -
Adversarial robustness as a prior for better transfer learning
Editor’s note: This post and its research are the collaborative efforts of our team, which includes Andrew Ilyas (PhD Student, MIT), Logan Engstrom (PhD Student, MIT), Aleksander Mądry (Professor at MIT), Ashish Kapoor (Partner Research Manager). In practical machine learning, it is desirable to be…
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ICML 2020 highlights: A Transformer-based RL agent, causal ML for increased privacy, and more
With over 50 papers from Microsoft accepted at this year’s International Conference on Machine Learning (ICML 2020), a number of which were presented in virtual workshops, Microsoft researchers are in full summer swing when it comes to advancing machine learning in accessibility, privacy, healthcare, and… -
Three new reinforcement learning methods aim to improve AI in gaming and beyond
Reinforcement learning (RL) provides exciting opportunities for game development, as highlighted in our recently announced Project Paidia—a research collaboration between our Game Intelligence group at Microsoft Research Cambridge and game developer Ninja Theory. In Project Paidia, we push the state of the art in reinforcement… -
State-of-the-art algorithm accelerates path for quantum computers to address climate change
While there has been a focus in the quantum computing industry on growing the number of qubits in a quantum computer, the reality is there are many important factors when building an overall system to bring quantum solutions to fruition. Hardware scaling, temperature control, software… -
Researchers use a strand-displacing DNA polymerase to do biocomputing
All around us, biochemical systems are regulating a variety of natural processes, from our body’s ability to protect our skin through the timely production of melanin to plants’ ability to convert carbon dioxide into carbohydrates and oxygen using sunlight. Replicating and programming such complex systems—essentially… -
A path to personalization: Using ML to subtype patients receiving digital mental health interventions
Mental health experiences vary widely from individual to individual. Because of this, effective treatment is about identifying the unique set of tools that will help a person manage their mental health productively. And that rarely happens overnight. People experiencing symptoms of depression, anxiety, or other… -
Toward trusted sensing for the cloud: Introducing Project Freta
“Sunlight is said to be the best of disinfectants.” ―Louis D. Brandeis, 1914 We often think about the field of computer security as a field of walls and barriers that keep… -
Teaching a robot to see and navigate with simulation
The ability to see and navigate is a critical operational requirement for robots and autonomous systems. For example, consider autonomous rescue robots that are required to maneuver and navigate in challenging physical environments that humans cannot safely access. Similarly, building AI agents that can efficiently and… -
Newly discovered principle reveals how adversarial training can perform robust deep learning
In machine learning, adversarial examples usually refer to natural inputs plus small, specially crafted perturbations that can fool the model into making mistakes. In recent years, adversarial examples have been repeatedly discovered in deep learning applications, causing public concerns about AI safety. An illustration of… -
Microsoft Research EMEA and Latin America PhD Awards springboard new ideas across intercontinental research
The 2020 EMEA and Latin America PhD Award recipients are undertaking research central to advancing today’s technology—training artificial agents to learn faster in new situations, designing new scalable machine learning algorithms for continual and federated learning, and several other compelling projects. Not only is the…