Welcome to the Momenta Learning News on Machine Learning. This is issue 67, please feel free to share this post.

Baidu Researcher: Why Machine Learning is Advancing Rapidly

Greg Diamos, senior researcher, Silicon Valley AI Lab, Baidu (the China-based web services and search engine company), is on the front lines of the reinvigorated frontier of machine learning. Before joining Baidu, Diamos was in the employ of NVIDIA, first as a research scientist and then an architect (for the GPU streaming multiprocessor and the CUDA software).

IBM leverages machine learning for hyper-local weather

It’s been just about six months since IBM closed its acquisition of The Weather Company, but it’s not resting on its laurels. This week Big Blue moved to leverage The Weather Company’s go-to-market strength to launch Deep Thunder, a machine learning-driven weather model developed by IBM Research to help industries ranging from aviation and agriculture to retail better predict the business impact of weather.

Intel Outlines Machine Learning Ambitions

5 Tips to Successfully Plan for IT Modernization One of the less appreciated aspects of advances in machine learning algorithms is how much they depend on the raw processing horsepower that has increased in the past few years by several orders of magnitude.

The human-side of artificial intelligence and machine learning

Note from the Editor, Tricia Wang: Next up in our Co-designing with machines edition is Steven Gustafson (@ stevengustafson ), founder of the Knowledge Discovery Lab at the General Electric Global Research Center in Niskayuna, New York. In this post, he asked what is the role of humans in the future of intelligent machines.

6 Ways to Leverage Machine Learning at Any Company – DATAVERSITY

by Angela Guess The Forbes Technology Council recently wrote, “Machine learning isn’t just for high-tech companies anymore. These days, any business can leverage machine learning for sales, marketing and to drive engagement. Here, six technology executives from Forbes Technology Council offer their thoughts on how even non-tech companies can start leveraging machine learning in the …

Intel Unleashes Xeon Phi Standalone Processors To Fuel AI And Machine Learning: Here’s The Deal

Intel has launched the new-generation of the Xeon Phi processors that are aimed at the High Performance Computing (HPC) segment. Intel announced the standalone Xeon Phi processors in November 2015 and they are finally available to customers. The latest processors from Intel feature double-precision performance in excess of 3 teraflops.

How AT&T is Leveraging Machine Learning and Cloud-Based Services for Business

Making use of machine learning technology as a business sounds cutting edge, but as a business it’s not easy to navigate and know what to look for in a nascent industry.

Machine learning enabling whole-of-data-centre security analysis: Cisco

Complex interdependencies between applications and computing environments can make whitelist-based security nearly impossible to enforce in practice, a Cisco executive has argued as the company debuts a data-centre analytics platform that utilises machine-learning techniques to model and predict the security impact of configuration and application changes.

How to use data analysis for machine learning, part 2

In part 1, we went over how to use data visualization and data analysis prior to machine learning. For example, we discussed how to visualize the data to identify potential issues in the dataset, examine the variable distributions, etc. In this blog post, we’ll continue by building a very simple model and using data visualization […]

Using Machine Learning to Predict Laboratory Test Results

Objectives: While clinical laboratories report most test results as individual numbers, findings, or observations, clinical diagnosis usually relies on the results of multiple tests. Clinical decision support that integrates multiple elements of laboratory data could be highly useful in enhancing laboratory diagnosis.