Four short links: 19 June 2018
Product Feedback, Medical AI, DensePose, and Automating Debugging
- Developing a Continuous Feedback Loop — short preso on how to get and manage a lot of feedback from customers.
- Google’s Medical AI — some details of studies and ambitions in the space. This quote is provocative: “They’ve finally found a new application for AI that has commercial promise.”
- DensePose — Facebook open sourced our real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body. See discussion.
- Debugging with Intelligence via Probabilistic Inference (Paper a Day) — Xu et al., have built an automated debugger that can take a single failing test execution, and with minimal interaction from a human, pinpoint the root cause of the failure. What I find really exciting about it is that instead of brute force, there’s a certain encoded intelligence in the way the analysis is undertaken that feels very natural. The first IDE / editor to integrate a tool like this wins!