In this special guest feature, Daniel Gutierrez from insideBIGDATA offers up his 2017 roundup industry predictions from Big Data thought leaders. “AI, ML, and NLP innovations have really exploded this past year but despite a lot of hype, most of the tangible applications are still based on specialized AI and not general AI. We will continue to see new use-cases of such specialized AI across verticals and key business processes. These use-cases would primarily be focused on the evolutionary process improvement side of the digital transformation.”
“Building on HPE IDOL’s history of delivering industry-leading analytics engineered for human data, IDOL Natural Language Question Answering is the industry’s first comprehensive approach to delivering enterprise class answers,” said Sean Blanchflower, vice president of engineering, Big Data Platform, Hewlett Packard Enterprise. “Designed to meet the demanding needs of data-driven enterprises, this new, language-independent capability can enhance applications with machine learning powered natural language exchan
Today Nimbus Data announced the award of a patent for its non-blocking all-flash architecture. Nimbus Data’s Parallel Memory Architecture scales capacity and performance linearly within each ExaFlash system, offering latency and throughput performance up to 6x faster scale-up designs. “Conventional HDD-centric architectures employed by the majority of all-flash array vendors trap flash performance behind legacy shared bus and scale-up designs,” stated Thomas Isakovich, CEO and Founder. “Now patented, Nimbus Data’s Parallel Memory Architecture overcomes the limitations of generic off-the-shelf servers, capturing the full performance potential of all-flash technology.”
In this AI Podcast, Host Michael Copeland speaks with NVIDIA’s Will Ramey about the history behind today’s AI boom and the key concepts you need to know to get your head around a technology that’s reshaping the world. “AI has been described as ‘Thor’s Hammer’ and ‘the new electricity.’ But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor.”
In this Chip Chat podcast, Diane Bryant, EVP/GM for the Data Center Group at Intel, discusses how the company is driving the future of artificial intelligence by delivering breakthrough performance from best-in-class silicon, democratizing access to technology, and fostering beneficial uses of AI. Bryant also outlines her vision for AI’s ability to fundamentally transform the way businesses operate and people engage with the world. In a blog Krzanich said: “Intel is uniquely capable of enabling and accelerating the promise of AI. Intel is committed to AI and is making major investments in technology and developer resources to advance AI for business and society.”
In this video, Dr. Kelly Gaither from TACC describes how 20 students identified by XSEDE’s community engagement team participated in a four-day long cohort experience themed around social change at SC16. “The objectives of the program are to engage students in a social change challenge using visualization and data analytics to increase awareness, interest, and ultimately inspire students to continue their path in advanced computing careers; to increase the participation of students historically underserved in STEM at SC.”
Applications such as machine learning and deep learning require incredible compute power, and these are becoming more crucial to daily life every day. These applications help provide artificial intelligence for self-driving cars, climate prediction, drugs that treat today’s worst diseases, plus other solutions to more of our world’s most important challenges. There is a multitude of ways to increase compute power but one of the easiest is to use the most powerful GPUs.
In this podcast, the Radio Free HPC team looks at how Shahin Khan fared with his OrionX 2016 Technology Issues and Predictions. “Here at OrionX.net, we are fortunate to work with tech leaders across several industries and geographies, serving markets in Mobile, Social, Cloud, and Big Data (including Analytics, Cognitive Computing, IoT, Machine Learning, Semantic Web, etc.), and focused on pretty much every part of the “stack”, from chips to apps and everything in between. Doing this for several years has given us a privileged perspective. We spent some time to discuss what we are seeing and to capture some of the trends in this blog.”
In this video, Stefanos Kaxiras from Uppsala University presents: Thread and Memory Scaling Beyond Multicores. “This talk will present the ArgoDSM, a modern, highly-scalable, user-level, distributed shared memory system for clusters. While DSMs have their roots in high-performance computing where the scaling of threads (computation) is the goal, we are witnessing a tremendous interest in Big Data workloads where memory scaling is the target. I will describe how ArgoDSM bridges these two worlds and forms a vehicle for research in Big Data and HPC alike.”
Today Mellanox announced that one of China’s leading intelligent speech and language technologies’ companies, iFLYTEK, has chosen Mellanox’s end-to-end 25G and 100G Ethernet solutions based on ConnectX adapters and Spectrum switches for their next generation machine learning center. The partnership between Mellanox and iFLYTEK will enable iFLYTEK to achieve a high speech recognition rate of 97 percent.