AutoML
State-of-the-art machine learning/AI systems consist of complex pipelines with choices of hyperparameters, models and configuration details that need to be tuned for optimal performance. The AutoML project develops automated methods for optimizing AI pipelines, making…
Delayed Impact of Fair Machine Learning
Fairness in machine learning has predominantly been studied in static classification settings without concern for how decisions change the underlying population over time. Conventional wisdom suggests that fairness criteria promote the long-term well-being of those…
Challenge accepted—MARLÖ competition among conference highlights
With the latest Project Malmo competition, we’re calling on researchers and engineers to test the limits of their thinking as it pertains to artificial intelligence, particularly multi-task, multi-agent reinforcement learning. Last week, a group of…
Algorithmic Social Intervention
Social and behavioral interventions are a critical tool for governments and communities to tackle deep-rooted societal challenges such as homelessness, disease, and poverty. However, real-world interventions are almost always plagued by limited resources and limited…
Microsoft AirSim now available on Unity
At Microsoft, we have a vision and passion to bring artificial intelligence solutions to real-world systems using the power of simulation. We continually strive to accelerate AI advances with the use of realistic simulators, tools,…