Inside the Microsoft AI Residency Program with Dr. Brian Broll

Inside the Microsoft AI Residency Program with Dr. Brian Broll

In this interview on the Microsoft Research Podcast, Dr. Brian Broll gives us an overview of the work he did and the experience he had... Details
Learning-Based Sketching Algorithms

Learning-Based Sketching Algorithms

Related to a previous post on Data Driven Algorithm Design, this talk from "Geometry of Deep Learning" 2019 event at Microsoft Research Details
Data Driven Algorithm Design

Data Driven Algorithm Design

This session is from a recent three-day workshop on understanding the geometrical structure of deep neural networks. Deep learning is transforming the field of artificial... Details
Machine Reading Comprehension with Dr. T.J Hazen

Machine Reading Comprehension with Dr. T.J Hazen

So far, AI has been able to learn how to see objects, create believable voices, compose music, and much more. But can it read a... Details
Building Neural Network Models That Can Reason

Building Neural Network Models That Can Reason

Deep learning has had enormous success on perceptual tasks but still struggles in providing a model for inference. Here’s an interesting talk about making neural... Details
Should AI Research Try to Model the Human Brain?

Should AI Research Try to Model the Human Brain?

Two Minute Papers ponders on whether or not AI researchers should model the human brain? Details
Announcing School of AI Research Fellows for 2019

Announcing School of AI Research Fellows for 2019

In this video Siraj Raval announces that School of AI is now accepting applications for research fellows in 2019. From the video description: We'll select... Details
DeepSqueak: How AI Could Decode Animal Speech

DeepSqueak: How AI Could Decode Animal Speech

Verge Science explores how AI can help decode animal communication by using rats. Why rats? Rats are social and chatty critters, but most of their... Details
Google open-sources GPipe, a library for efficiently training large deep neural networks

Google Open-Sources Library for Efficiently Training Large Deep Neural Nets

Last last week, Google’s AI research division open-sourced GPipe, a library for “efficiently” training deep neural networks under Lingvo, a TensorFlow framework for sequence modeling.... Details
Shark or Baseball? Inside the ‘Black Box’ of a Neural Network

Shark or Baseball? Inside the ‘Black Box’ of a Neural Network

Generally speaking, Neural Networks are somewhat of a mystery. While you can understand the mechanics and the math that powers them, exactly how the network... Details