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HPC Top 5 Stories: March 22, 2017

Read updates highlighting what’s hot in high performance computing, with this week's focused on the convergence of HPC and AI.

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HPC Top 5 Stories: March 22, 2017

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  1. HPC TOP 5 STORIES Weekly Insights into the World of High Performance Computing

  2. HPC AND AI HAVE PAVED THE WAY FOR GROUNDBREAKING DISCOVERIES IN SCIENCE, MEDICINE, AND OTHER FIELDS…

  3. PROVING THAT AI IS THE FUTURE OF SUPERCOMPUTING…

  4. TOP 5 HERE ARE THE “TOP FIVE’ STORIES HIGHLIGHTING WHAT’S HOT IN HPC AND AI

  5. TOP 5 1. GTC to Feature 90 Sessions on HPC and Supercomputing 2. SUTD, NTU Join SMU in Deploying Supercomputer for AI Research 3. Deep Learning and AI Success Stories 4. AI Checks Your Head by Listening to What You Said 5. Artificial Intelligence Can Be Boring, Too

  6. 1 GTC TO FEATURE 90 SESSIONS ON HPC AND SUPERCOMPUTING Accelerated computing continues to gain momentum. This year the GPU Technology Conference will feature 90 sessions on HPC and Supercomputing. The event takes place May 8- 11 in San Jose, California. The HPC and Supercomputing Track Sessions will focus on how computational and data science are used to solve traditional HPC problems in healthcare, weather, astronomy, and other domains. GPU developers can also connect with innovators and researchers as they share their groundbreaking work using GPU computing. LEARN MORE

  7. 2 SUTD, NTU JOIN SMU IN DEPLOYING SUPERCOMPUTER FOR AI RESEARCH The NVIDIA DGX-1 deep learning supercomputer is winning over universities in Singapore. Singapore University of Technology and Design (SUTD) and Nanyang Technological University (NTU) have deployed the powerful machine for their research projects on artificial intelligence (AI). SUTD will use the DGX-1 at the SUTD Brain Lab to further research into machine reasoning and distributed learning. Under a memorandum of understanding signed earlier this month, NVIDIA and SUTD will also set up the NVIDIA-SUTD AI Lab to leverage the power of GPU-accelerated neural networks for researching new theories and algorithms for AI. The agreement also provides for internship opportunities to selected students of the lab. ARTICLE

  8. 3 DEEP LEARNING AND AI SUCCESS STORIES 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. In this guide, we take a high-level view of AI and deep learning in terms of how it’s being used and what technological advances have made it possible. We also explain the difference between AI, machine learning and deep learning, and examine the intersection of AI and HPC. We present the results of a recent insideBIGDATA survey that reflects how well these new technologies are being received. Finally, we take a look at a number of high-profile use case examples showing the effective use of AI in a variety of problem domains. The complete insideBIGDATA Guide to Deep Learning & Artificial Intelligence is available for download from the insideBIGDATA White Paper Library. EXPLORE

  9. 4 AI CHECKS YOUR HEAD BY LISTENING TO WHAT YOU SAID Whether caused by a blow to the head during a football game or an accident, concussions are particularly hard to identify. A Utah-based startup is easing that process using AI and the patient’s voice to detect telltale shifts in vocal patterns — shifts human ears can’t pick up — to help doctors make the right call. The company, Canary Speech, is building voice tests that use GPU-accelerated deep learning to pick up the subtle voice tremors, slower speech and gaps between words that may reveal brain injuries, or warn of diseases such as Parkinson’s or Alzheimer’s. BLOG

  10. 5 ARTIFICIAL INTELLIGENCE CAN BE BORING, TOO What, precisely, is it useful for? How must companies prepare for its implementation? Has development gotten to the point that organizations without expertise on staff can deploy AI themselves or is it necessary to bring in outside specialists to customize, install and operate the technology? Will Ramey, the director of Developer Marketing for NVIDIA, wrote that some big companies have been fast and others slow to adopt AI. Size seems to be no determinant; small companies and startups are sometimes ahead in AI development and deployment. “Perhaps a more telling predictor of whether a company is likely to use AI is its industry affiliation, as we’ve noticed some industries are quicker to adopt than others,” Ramey wrote in response to emailed questions from IT Business Edge. READ MORE

  11. HOW CAN HPC IMPACT YOUR BUSINESS? LEARN MORE

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