Why Artificial Intelligence Needs HPC

As we work with our customers on their artificial intelligence (AI) journeys, we are finding that a range of approaches are being taken by distinct organizations to implement AI. We recently had an opportunity to speak with Brian Dolan, chief scientist and co-founder of an AI startup — Deep 6 AI — to understand their interest in the Chapel parallel programming language, as well as why they view AI as a high-performance computing (HPC) problem. First a bit of background on Deep 6 AI and Chapel. Deep 6 AI is an artificial intelligence company whose primary mission is to find more patients faster for clinical trials — an important part of drug development and drug discovery. In 2016, Deep 6 AI was chosen by the ... [ Read More ]

AI: Science Fact vs. Science Fiction (Part 3: Predictive Policing)

It started with robots. In the first part of this 3-article series about artificial intelligence in science fiction vs. real-life AI, we talked about robots — both real and as depicted in sci-fi starting in the early 20th century. Then we visited advanced AI like the mutinous shipboard computer HAL 9000. But that’s just fiction, right? When does it start getting real? We’ll conclude with a brief look at today’s robot police and computer-assisted crime prediction. It turns out RoboCop is real ... sort of. Leave it to Dubai to deploy the world’s first robot police officer. This life-sized robotic patrolman, put into service earlier this year, can collect evidence and identify wanted criminals as it patrols the busiest parts of ... [ Read More ]

AI: Science Fact vs. Science Fiction (Part 2: Beyond Robots)

In the first installment of this 3-part series about artificial intelligence in science fiction vs. real-life AI, we talked about robots. Robots may be the first thing that comes to mind when hearing the term “artificial intelligence,” but humanoid robots are only a small part of today’s AI. Machines are capable of digesting massive amounts of data, learning how to deal with each piece, and making “decisions” about how to process it. As machine learning and real-world artificial intelligence becomes an increasingly critical part of today’s scientific and business environments, it is, in some ways, catching up with how it has been depicted in sci-fi books and movies — but there’s still a gulf between fact and fiction. ... [ Read More ]

Leading the Charge for Cancer Research

Prof. Rick Stevens with Argonne National Laboratory is using deep learning to help move science closer to curing cancer.

Cancer has proven itself a formidable opponent. But every opponent has a weakness — and Rick Stevens is working to identify it, exploit it... and, ultimately, bring the disease to its knees. How? With supercomputing-powered deep learning. Prof. Stevens is an associate laboratory director at Argonne National Laboratory (ANL) and a principal investigator on a program that’s part of the “Cancer Moonshot” — a sweeping “all government” approach to the problem of cancer. Called the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C), the program relies on team science, bringing the combined forces of U.S. Department of Energy (DOE) supercomputing labs and the National Cancer Institute (NCI) and its national laboratory to ... [ Read More ]

AI: Science Fact vs. Science Fiction (Part 1: Robots)

From tin-can robots to sophisticated, sentient virtual environments, artificial intelligence (AI) is a dominant theme in science fiction. With real-world advances in machine learning and deep learning, the gap between fact and fiction is narrowing. Real AI isn’t all about robots and self-aware computers. From Siri, search engines and motion-sensing video games to medical imaging and diagnostics, artificial intelligence is an increasingly significant part of our lives. Cray systems are used every day to solve artificial intelligence problems through machine learning and deep learning approaches. In this three-part blog series, we’ll look at a few examples of AI in sci-fi and see how they match up with reality. First up: robots. The ... [ Read More ]