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Are AI/Machine Learning/Deep Learning in Your Company’s Future?

The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the fourth in a series of articles providing content extracted from the guide. The topic for this segment is the results of the recent “insideHPC insideBIGDATA AI/Deep Learning Survey 2016” underwritten by NVIDIA.

UMass Amherst Boosts Deep Learning Research with Powerful New GPU Cluster

With a new cluster of specialized graphics processing units (GPUs) now installed, the University of Massachusetts Amherst is poised to attract the nation’s next crop of top Ph.D. students and researchers in such fields as artificial intelligence, computer vision and natural language processing, says associate professor Erik Learned-Miller of the College of Information and Computer Sciences (CICS).

4 Ways Artificial Intelligence is Revolutionizing Healthcare

In this special guest feature, Prashanth Kini, Vice President and Head of Product, Healthcare for Ayasdi provides four real-world examples where machine intelligence is helping provider organizations transform into learning health systems that are continually improving performance.

Interview: Paulo Sampaio, Data Scientist at EDITED

I recently caught up with Paulo Sampaio, Data Scientist at EDITED, to talk about applying machine learning, neural networks, natural language processing, and big data analytics to the retail industry. Paulo and his team are applying neural networks, machine learning and other models to analyze over 520 million products in real-time across 42 countries to make gradual distinctions in clothing styles, sizes and categories.

The Intersection of AI and HPC

The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the third in a series of articles providing content extracted from the guide. The topic for this segment is the intersection of artificial intelligence (AI) and high performance computing (HPC).

In Healthcare, Automation Is Not Just About Efficiency

In this special guest feature, Carla Leibowitz, Head of Strategy and Marketing at Arterys, discusses how deep learning tools can aid physicians in determining a patient’s condition more quickly and accurately and what promise this holds for personalized care.

Will Big Data Influence Artificial Intelligence as a Major Disruption?

In this contributed article, Arun Goyal, Founder at Octal Info Solution, discusses how big data is positioned to influence AI as a major disruption in the industry.

Dr. Eng Lim Goh on New Trends in Big Data and Deep Learning for Artificial Intelligence

In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning for Artificial Intelligence. “Recently acquired by Hewlett Packard Enterprise, SGI is a trusted leader in technical computing with a focus on helping customers solve their most demanding business and technology challenges.”

The Difference between AI, Machine Learning and Deep Learning

The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the second in a series of articles providing content extracted from the guide. The topic for this segment is the difference between AI, machine learning and deep learning.

Lexalytics® Unveils Magic Machines™ AI Labs to Drive Innovation in Building and Managing AI

Lexalytics®, on leader in cloud and on-prem text analytics solutions, announced that it is unveiling the Magic Machines™ AI Labs in Amherst, MA, to speed innovation in artificial intelligence (AI). In stealth mode for the past year, Magic Machines has been focusing on “force-multiplying” AI technologies.