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“Software as a Service” to “Service as a Software:” Changing Paradigms in Analytics and Decision Sciences

In this special guest feature, Deepinder Dhingra, Apprentice Leader at Mu Sigma, Inc., identifies a new paradigm in decision science: Service as Software. This concept is driven by the irrational, yet popular notion that one day, machines will take over the jobs of humans.

Intel Unveils Strategy for State-of-the-Art Artificial Intelligence

Intel Corporation announced a range of new products, technologies and investments from the edge to the data center to help expand and accelerate the growth of artificial intelligence (AI).

Cray Systems Power Deep Learning in Supercomputing at Scale

Supercomputer leader Cray Inc. (Nasdaq: CRAY) announced the Company has unveiled new deep learning capabilities across its line of supercomputing and cluster systems.

Data Analytics, Machine Learning, and HPC in Today’s Changing Application Environment

In this video from the Intel HPC Developer Conference, Franz Kiraly from Imperial College London and the Alan Turing Institute describes why many companies and organizations are beginning to scope their potential for applying rigorous quantitative methodology and machine learning.

Performance Optimization of Deep Learning Frameworks on Modern Intel Architectures

In this video from the Intel HPC Developer Conference, Elmoustapha Ould-ahmed-vall from Intel describes how the company is doubling down to optimize Machine Learning frameworks for Intel Platforms. Using open source frameworks as a starting point, surprising speedups are possible using Intel technologies.

The Second Wind of Machine Learning

In this special guest feature, Serge Haziyev, VP Technology Services Group at SoftServe, discusses how machine learning was known back in 80s as an approach to achieve Artificial Intelligence and why it took so long to achieve today’s incredible results.

Ohio State Launches High-Performance Deep Learning Project

Deep learning is one of the hottest topics at SC16. Now, DK Panda and his team at Ohio State University have announced an exciting new High-Performance Deep Learning project that aims to bring HPC technologies to the DL field. “Welcome to the High-Performance Deep Learning project created by the Network-Based Computing Laboratory of The Ohio State University. Availability of large data sets like ImageNet and massively parallel computation support in modern HPC devices like NVIDIA GPUs have fueled a renewed interest in Deep Learning (DL) algorithms. This has triggered the development of DL frameworks like Caffe, Torch, TensorFlow, and CNTK. However, most DL frameworks have been limited to a single node. The objective of the HiDL project is to exploit modern HPC technologies and solutions to scale out and accelerate DL frameworks.”

How to Use Isolation Forests for Anomaly Detection

In this contributed article, Alejandro Correa Bahnsen, Data Scientist at Easy Solutions examines one of the newest techniques to detect anomalies – Isolation Forests. “The method of using Isolation Forests for anomaly detection in the online fraud prevention field is still restively new. It’s no secret that detecting fraud, phishing and malware has become more challenging as cybercriminals become more sophisticated. We should be using the most advanced tools and methods to prevent current and future fraud.”

The Power of Machine Learning in Cybersecurity

In this special guest feature, Dr. Sven Krasser, Chief Scientist at CrowdStrike, focuses on what machine learning can solve and why its crucial in today’s cybersecurity landscape and why the data input is the most important factor.

Datawatch Brings “Data Socialization” to Self-Service Analytics

Datawatch Corporation (NASDAQ-CM: DWCH) announced its strategic vision and product road map for making “data socialization” a reality for all business users of self-service data preparation.