Roundup 10/26/2016

Machine learning (ML) and deep learning (DL) content from the past 24 hours. Plus, some AI stuff.

In Scientific American, Larry Greenemeier reports that AI is not out to get us. Well, that’s a relief.

Microsoft Launches Cognitive Toolkit 2.0

— MSFT rebrands CNTK as Cognitive Toolkit, releases version 2.0 to beta. Enhancements include a Python API, Visual Studio support, reinforcement learning and performance improvements. Linkapalooza here.



— At a Wall Street Journal Tech Conference, NVIDIA CEO Jen-Hsun Huang argues that technology for autonomous cars is evolving “faster than Moore’s Law.”

— I don’t usually link sponsored content, but this piece from NVIDIA is a good read.

— Steve Hanley describes the NVIDIA PX-2, which will provide Tesla with the computing power necessary for Level 5 autonomous driving. Matt Pressman provides additional detail.


— Alex Woodie reports on a Kaggle competition sponsored by Melbourne University, Mathworks, the American Epilepsy Society and the National Institutes of Health. The goal of the competition is to predict seizures in long-term intracranial EEG recordings. First place prize is $10K; the entry deadline is November 14.


— Ryan Joe explains AI to Marketers without using math.

— Helen Beers explains ML and AI.

Methods and Techniques

— Two how-to-do-its from Data Science Central:

— Disney Research reports a new method that reduces the amount of training data needed for facial performance capture in film and video game production.

— Stephen Max Patterson describes how robots can teach each other by exchanging data.


— Aussies deploy bots to control hunt down and kill crown-of-thorns starfish before they eat the Great Barrier Reef.

— In HBR, Ashby Rowe et. al. describe how ML-driven startups may transform the investment industry.

— John McCrank surveys the role of AI in regulating financial markets.

— In Slator, Florian Faes profiles some data scientists working on machine translation.

— Interesting list of ten deep learning apps investors should watch.

— Karl Zimmermann argues that machine learning may be the solution to enterprise cyber security problems.


— IBM announces YAWBSP (Yet Another Watson Branded Software Product), launches media blitz.


— Computer vision startup Movidius, which is about to be acquired by Intel, partners with China’s Hikvision to deliver intelligent surveillance cameras. Linkapalooza here.

— To encourage AI research, Facebook donates 22 GPU-accelerated servers to universities across Europe.

— Philips Lighting and ABB invest $7 million in PointGrab, an ML-driven “smart buildings” startup.

— Israeli startup Anodot launches a real-time incident detection service for fintech companies.

— Dataiku snags a $14 million “A” round.

— Image recognition startup Clarifai lands $30 million in funding.

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