Publication
Algorithms
Microsoft Research Blog
Next-generation architectures bridge gap between neural and symbolic representations with neural symbols
In both language and mathematics, symbols and their mutual relationships play a central role. The equation x = 1/y asserts the symbols x and y—that is, what they stand for—are related reciprocally; Kim saw the…
Podcast
Adaptive systems, machine learning and collaborative AI with Dr. Besmira Nushi
With all the buzz surrounding AI, it can be tempting to envision it as a stand-alone entity that optimizes for accuracy and displaces human capabilities. But Dr. Besmira Nushi, a senior researcher in the Adaptive…
Microsoft Research Blog
Project Petridish: Efficient forward neural architecture search
Having experience in deep learning doesn’t hurt when it comes to the often mysterious, time- and cost-consuming process of hunting down an appropriate neural architecture. But truth be told, no one really knows what works…
Video
MSR Cambridge Lecture Series: An Introduction to Graph Neural Networks: Models and Applications
MSR Cambridge, AI Residency Advanced Lecture Series An Introduction to Graph Neural Networks: Models and Applications Got it now: “Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing…
