Machine Learning News Issue 49

Welcome to the Momenta Learning News on Machine Learning. This is issue 49, please feel free to share this post.

Google built its own chips to expedite its machine learning algorithms As Google announced at its I/O developer conference today, the company recently started building its own specialized chips to expedite the machine learning algorithms. These so-called Tensor Processing Units (TPU) are custom-built chips that Google has now been using in its own data centers for almost a year, as Google's senior VP for its technical infrastructure Urs Holzle noted in a press conference at I/O.

​SAP to tackle gender bias using machine learning | ZDNet SAP has announced it will use text mining and machine learning, based on the SAP HANA platform, to build new capabilities within its SAP SuccessFactors HCM Suite to help companies identify and track where biases exist in talent acquisition and management processes to address workplace biases.

OK computer: When pop music meets machine learning It's Moogfest season here in Durham, so there's been a lot of the discussion in the office around music, data lakes, and the heat map we're building for the festival. But the conversation took a different turn, thanks to a tweet. Many months ago when I was at IBM Insight, I tweeted a snide remark about computer-generated jokes.

Is Machine Learning Over Hyped? Is machine learning currently overhyped? originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights. Answer by Scott Aaronson, Theoretical computer scientist at MIT, soon to be at UT Austin, on Quora. There are things like the ideological significance of toenails, which few people talk about and few should.

Unsupervised Machine Learning Could Help Us Solve the Unsolvable In machine learning, the ultimate goal is to train a machine or computer to learn and infer like a human, taking into account much more information and making better decisions in exponentially less time than humans are able to do.

ANSYS Introduces First Big Data and Machine Learning System for Engineering Simulation Pittsburgh - May 19, 2016 - ANSYS (NASDAQ: ANSS) has married the advanced computer science of elastic computing, big data and machine learning to the physics-based world of engineering simulation - offering the industry a first look at the future of product development.

Google Takes Unconventional Route with Homegrown Machine Learning Chips Stacey Higginbotham At the tail end of Google's keynote speech at its developer conference Wednesday, Sundar Pichai, Google's CEO mentioned that Google had built its own chip for machine learning jobs that it calls a Tensor Processing Unit, or TPU. The boast was that the TPU offered "an order of magnitude" improvement in the performance per watt for machine learning.

Machine learning: Demystifying linear regression and feature selection Businesspeople need to demand more from machine learning so they can connect data scientists' work to relevant action. This requires basic machine learning literacy -- what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature selection are two such foundational topics.

DLD: AI and Machine Learning in Health Care, Weather, and Other Applications Artificial Intelligence and machine learning are hot topics at every technology conference I go to, and the recent DLD NYC conference was no exception. Ramin Assadollahi of ExB Group, a German company dealing with cognitive computing in healthcare, focused on a variety of ways new computer techniques can help us learn "how to heal with software."

5 Machine Learning Projects You Can No Longer Overlook We all know the big machine learning projects out there: Scikit-learn, TensorFlow, Theano, etc. But what about the smaller niche projects that are actively developed, providing useful services to users? Here are 5 such projects.