Tensor Methods for Machine Learning

by Angela Guess Ben Lorica recently wrote for the O’Reilly Radar, “Data scientists frequently find themselves dealing with high-dimensional feature spaces. As an example, text mining usually involves vocabularies comprised of 10,000+ different words. Many analytic problems involve linear algebra, particularly 2D matrix factorization techniques, for which several open source implementations are available. Anyone working […]

A DIY Guide to Deep Learning Hardware

by Angela Guess In his blog, Tim Dettmers recently wrote, “Deep Learning is very computationally intensive, so you will need a fast CPU with many cores, right? Or is it maybe wasteful to buy a fast CPU? One of the worst things you can do when building a deep learning system is to waste money […]

The Growing Role of Machine Learning in Cyber Security

by Angela Guess Rachel King recently wrote for the Wall Street Journal blog, “Artificial intelligence and machine learning are playing a larger role in cybersecurity, which can in theory help companies identify risks and anticipate problems before they occur. The idea is to create software that can adapt and evolve to combat ever-changing attack strategies, […]

IBM Acquires AlchemyAPI, Bringing in Some New Smarts for Watson

by Angela Guess Doug Henschen recently reported for Information Week, “IBM on Wednesday announced it has acquired AlchemyAPI, a provider of natural-language processing and image-analysis services and technologies. IBM said the deal will expand the IBM Watson community and accelerate the development of new cognitive computing applications. AlchemyAPI provides application program interface (API) services that […]

Attensity Launches Semantic Annotation Natural Language Processing

by Angela Guess A recent article out of the company reports, “Attensity, a leading provider of solutions to surface business intelligence through real-time discovery, today announced Attensity’s Semantic Annotation combined with its Software Development Kit (SDK). This sophisticated parsing engine is designed to integrate into existing enterprise systems to automatically and intelligently extract highly accurate […]

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept