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A panel of judges at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19) on Thursday awarded a multi-institutional team led by Lawrence Livermore National Laboratory computer scientists with the conference's Best Paper award. The paper, entitled "Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation Pathway for Cancer," describes the workflow driving a first-of-its-kind multiscale simulation on predictively modeling the dynamics of RAS proteins -- a family of proteins whose mutations are linked to more than 30 percent of all human cancers -- and their interactions with lipids, the organic compounds that help make up cell membranes. Developed as part of the Pilot 2 project in the Joint Design of Advanced Computing for Cancer program, a collaboration between the Department of Energy (DOE) and National Cancer Institute (NCI), the research resulted in a Multiscale Machine-Learned Modeling Infrastructure (MuMMI) that investigators found was scalable to next-generation heterogenous supercomputers such as LLNL's Sierra and Oak Ridge's Summit. Working for more than two years on the pilot project, which is funded by the National Nuclear Security Administration's Advanced Simulation and Computing program, the multidisciplinary team, composed of more than 20 computational scientists, biophysicists, chemists and statisticians from LLNL, Los Alamos National Laboratory, NCI/Frederick National Laboratory for Cancer Research, Oak Ridge National Laboratory (ORNL) and IBM, ran nearly 120,000 simulations on Sierra, using 5.6 million GPU hours of compute time and generating a massive 320 terabytes of data. "I can't begin to describe how happy I am for our team -- it's been a lot of hard work, and to have it recognized at this level is just amazing," said Francesco Di Natale, LLNL computer scientist and the paper's lead author.

Timothy Gardner is the Founder and the CEO of Riffyn. He was previously Vice President of Research & Development at Amyris, where he led the engineering of yeast strain and processes technology for large-scale bio-manufacturing of renewable chemicals. Earlier, he was an Assistant Professor of Biomedical Engineering at Boston University, the Founder of Cellicon Biotechnologies, and a Programmer at ALK Associates. Tim has been recognized for his pioneering work in Synthetic Biology by Scientific American, the New Scientist, Nature, Technology Review, and the New York Times. He also served as an advisor to the European Union Scientific Committees and the Boston University Engineering Alumni Advisory Board.

Contrast that with the broadest definition of what Hypergiant does in fact sell--artificial intelligence-enabled software and hardware--and you'll …

This complimentary Business Briefing is a 120-minute session designed to bring leaders together to learn about, reflect on and discuss recent research and the key competencies for organizational agility in the context of the massive changes that are anticipated from the widespread implementation of artificial intelligence (AI). Today organizations need to gather and act on information, make decisions quickly and implement them to meet the rapidly-evolving requirements of customers and the business environment. The ability to do so is becoming increasingly important in this era of digital transformation and advances in Artificial Intelligence (AI). We provide a framework for leaders, addressing important considerations for those who want to approach building agility within their organization in a focused, deliberate way.

Artificial Intelligence is now a part of our normal lives. We are surrounded by this technology from automatic parking systems, smart sensors for taking spectacular photos, and personal assistance. Similarly, Artificial Intelligence in education is being felt, and the traditional methods are changing drastically. At the World Innovation Summit for Education global summit in Doha, Qatar, I sat with Professor of Learner Centred Design at the UCL Knowledge Lab in London, whose research involves the design and evaluation of educational technology using theories from the learning sciences and techniques from Artificial Intelligence (AI). "AI has come to stay in our life. So, I think we need the population at large to understand more about Artificial Intelligence (AI). So that they can use it to their benefits. And so that they can keep themselves safe. And we need a small percentage of the population to understand enough about AI. To be the people who develop the next generation of AI technology. And we need a small percentage of the population to understand enough about AI. To develop the next generation of ethical guidelines and regulations for AI. And actually, we don't really know how to regulate and provide people with the right guidelines for development. But we need more people to understand enough about AI to help with the process. And then the third area and that we need to pay attention to, is to change the way that we educate and train the people. Because the world is changing and much of that change is driven by automation. So, we need to think about how we change our education systems. So, these areas are not different. There are areas all of which we need to pay attention to."

One Sunday, at one of our weekly salsa sessions, my friend Frank brought along a Danish guest. I knew Frank spoke Danish well, since his mother was Danish, and he, as a child, had lived in Denmark. As for his friend, her English was fluent, as is standard for Scandinavians. However, to my surprise, during the evening's chitchat it emerged that the two friends habitually exchanged emails using Google Translate. Frank would write a message in English, then run it through Google Translate to produce a new text in Danish; conversely, she would write a message in Danish, then let Google Translate anglicize it.

The first time I watched Gargoyles, a Disney cartoon about stone-winged creatures that come alive at night to fight evil, I was enraptured. This was something so dramatically different from anything I'd seen to that point. Thanks to Disney Plus, I had a chance to rewatch the show. My initial response 25 years later: How the hell did this show even get made? That isn't meant as a slight.

Amazon Web Services today debuted Inf1, an instance that powers AI inference in the cloud that CEO Andy Jassy calls the lowest cost inference offering available in the cloud. "[I]t will have lower latency, it will have 3 times higher throughput, and up to 40% lower cost per instance compared to our G4 instance, which is based on an Nvidia chip which previously was the lowest cost inference instance in the cloud," Jassy said. The vast majority of costs for operations using cloud services to power AI solutions comes from inference, Jassy said onstage today at the AWS re:Invent conference in Las Vegas. The news follows the release of the Elastic Inference service and plans to release the Inferentia AI chip. Inf1 will also be powered by the Inferentia chip made by Annapurna Labs, an Israeli company AWS acquired in 2015.

One of only two surviving prototypes of the original Apple Macintosh computer will go up for auction this week – at an asking price of £155,000. The prototype, which was made in 1983, features the aborted 5.25-inch'Twiggy' disk drive, and is going under the hammer at Bonhams in New York on Wednesday. The Macintosh began as a personal project of inventor Jef Raskin before the late Apple founder Steve Jobs took it over. The original plan was to use a 5.25-inch drive to greatly expand the capacity of standard floppy discs. But they proved unreliable, so a 3.5 inch drive, which was more robust and small enough to fit in a shirt pocket, was chosen instead for mass production.