What is the relationship between psychology and computer science? There’s two ways to parse this question: "what’s the relationship between computer science and academic psychology?", and "what’s the relationship between computer science and psychology in the sense of “how people think?"

Researchers at the University of Nottingham have pioneered a breakthrough method to rapidly 3D print fully functional electronic circuits. The circuits, which contain electrically-conductive metallic inks and insulating polymeric inks, can now be produced in a single inkjet printing process where a UV light rapidly solidifies the inks.

Nov. 8 was national STEM day, something Zahra Hazari knows a lot about. She is trying to recruit at least 10,000 more women to pursue physics degrees in the United States by 2020. It’s an endeavor that would have seemed impossible 30 years ago, a time when no one seemed to care that women were not flocking to careers in science, technology, engineering or math — no one except an elite few like Yesim Darici.

How important is quantum computing? How are U.S. quantum research efforts stacking up against the rest of the world? What should a national quantum computing policy, if any, look like? Is the U.S. really falling behind in the crucial area? Late last month six leaders from government and industry tackled these questions at the Subcommittee on Research & Technology and Subcommittee on Energy Hearing – American Leadership in Quantum Technology.

Those outside of the high performance computing (HPC) industry have difficulty understanding why HPC is so important to everyone. HPC vendors generate an endless stream of announcements about technological advancements that many industry outsiders probably tune out. But these advancements in HPC technology make everyone’s lives better every day in ways people may not realize. High performance computing plays a role in scientific discoveries, military defense, medical research, artificial intelligence and many other ground-breaking applications.

In the analysis of big data sets, the first step is usually the identification of "features"—data points with particular predictive power or analytic utility. Choosing features usually requires some human intuition. For instance, a sales database might contain revenues and date ranges, but it might take a human to recognize that average revenues—revenues divided by the sizes of the ranges—is the really useful metric.

The UW computer scientists have created fabrics and fashion accessories that can store data -- from security codes to identification tags -- without needing any on-board electronics or sensors. As described in a paper presented at the Association for Computing Machinery's User Interface Software and Technology Symposium (UIST 2017), they leveraged previously unexplored magnetic properties of off-the-shelf conductive thread. The data can be read using an instrument embedded in existing smartphones to enable navigation apps.

Commercial abalone “aquaculture”—farming the shellfish in enclosures—has exploded over the past decade, becoming a $100-million global industry. Understanding the DNA of the abaloneis key to improving and expanding its aquaculture for California producers. That’s why scientists at Iowa State University and the National Oceanic and Atmospheric Administration worked with PSC experts to “assemble” the DNA sequences of several species of abalone on the Bridges supercomputer.

Computer science education in K-12 and at the college level will propel today’s students into careers that allow them to “do amazing things in the economy,” Matt Lira said to an audience of government and industry technology experts. Lira, special assistant for Innovation Policy and Initiatives at the White House’s Office of American Innovation, highlighted the Trump administration’s recent STEM announcement, which instructs the U.S. Department of Education to direct at least $200 million annually to computer science education. Lira said it's the “largest direct federal investment in computer science education in a long time.”

As states and districts ramp up efforts to increase computer science offerings in schools, they often stop in their tracks and ask us, “but where do the teachers come from?” Good question. Code.org has prepared teachers from every subject area to begin teaching computer science. And, we’ve seen first hand how many of them are eager and excited to teach this fundamental subject despite being certified in English, math, history, and other subject areas. So, why aren’t there more computer science teachers?

Educators looking to gain the inspiration and tools they need to teach all students to become literate in computer science and to ready the next generation of engineers, coders and industry visionaries gathered at UMass Lowell for a first-of-its-kind conference. Massachusetts Secretary of Education James Peyser and Steve Vinter, Google's executive coach and tech leadership development adviser, are scheduled to deliver keynote addresses at "Working Together to Strengthen K-12 Computer Science," the first regional conference of the Computer Science Teachers Association (CSTA).

Seymour Cray loved vector supercomputers, and made the second part of that term a household word because of it. NEC, the last of the pure vector supercomputer makers, is so excited about its new “Aurora” SX-10+ vector processor and the “Tsubasa” supercomputer that will use it that it forgot to announce the processor to the world when it previewed the system this week.

Supercomputers have helped scientists discover merging black holes and design new nanomaterials, but can they help solve society's most challenging policy issues? At the International Conference for High Performance Computing, Networking, Storage and Analysis (also known as Supercomputing 2017 or SC17) in Denver, Colorado, from Nov. 12 to Nov. 15, undergraduate and graduate students from diverse disciplines and backgrounds will learn how to use advanced computing skills to explore the nation's immigration policies as part of the Advanced Computing for Social Change Institute (ACSCI).

Researchers at the Department of Energy’s Oak Ridge National Laboratory are partnering with the city of Oak Ridge to develop UrbanSense, a comprehensive sensor network and real-time visualization platform that helps cities evaluate trends in urban activity. The project, initiated by ORNL’s Urban Dynamics Institute, centers on addressing cities’ real-world challenges through applied urban science.

In this video from HPC Advisory Council Spain Conference, DK Panda from Ohio State University presents: Designing HPC, Big Data & Deep Learning Middleware for Exascale. "This talk will focus on challenges in designing HPC, Big Data, and Deep Learning middleware for Exascale systems with millions of processors and accelerators. For the HPC domain, we will discuss about the challenges in designing runtime environments for MPI+X (PGAS OpenSHMEM/UPC/CAF/UPC++, OpenMP, and CUDA) programming models."

Researchers at Chalmers University of Technology and the Technical University of Denmark have developed a method that makes it possible to map the individual responses of nanoparticles in different situations and contexts. The results pave the way for better nanomaterials and safer nanotechnology and were recently published in the journal Nature Communications.

How do you know when a pithy phrase or seductive idea has become fashionable in policy circles? When The Economist devotes a briefing to it. In a briefing and accompanying editorial earlier this summer, that distinguished newspaper (it's a magazine, but still calls itself a newspaper, and I'm happy to indulge such eccentricity) argued that data is today what oil was a century ago.

Every dollar devoted to computer science education should be spent on professional development for teachers, said Hadi Partovi, the founder and CEO of Code.org. That includes “100 percent,” he said, of the $200 million the Trump administration has directed the U.S. Department of Education to spend on STEM and computer science programs each year.

As processors' transistor counts have gone up, the relatively slow connection between the processor and main memory has become the chief impediment to improving computers' performance. So, in the past few years, chip manufacturers have started putting dynamic random-access memory -- or DRAM, the type of memory traditionally used for main memory -- right on the chip package.

Researchers have demonstrated how to decode what the human brain is seeing by using artificial intelligence to interpret fMRI scans from people watching videos, representing a sort of mind-reading technology. The advance could aid efforts to improve artificial intelligence and lead to new insights into brain function. Critical to the research is a type of algorithm called a convolutional neural network, which has been instrumental in enabling computers and smartphones to recognize faces and objects.

A microscopic 'pen' that is able to write structures small enough to trap and harness light using a commercially available printing technique could be used for sensing, biotechnology, lasers, and studying the interaction between light and matter.

A new peer-reviewed paper is reportedly causing a stir in the climatology community. Entitled, “Near-global climate simulation at 1 km resolution: establishing a performance baseline on 4888 GPUs with COSMO 5.0” the Swiss paper was written by Oliver Fuhrer, Tarun Chadha, Torsten Hoefler, Grzegorz Kwasniewski, Xavier Lapillonne, David Leutwyler, Daniel Lüthi, Carlos Osuna, Christoph Schär, Thomas C. Schulthess, and Hannes Vogt.

Everyone in the IT industry likes drama, and we here at The Next Platform are no different. But it is also important as the industry in undergoing gut-wrenching transformations, as it has been for five decades now and will probably do so for a decade or two more, to keep some perspective. While the public cloud is certainly an exciting part of the IT market, it hasn’t taken over the world even if it has become the dominant metaphor that all kinds of IT – public, private, and hybrid – aspired to mimic.

By harnessing the power of quantum mechanics, researchers hope to create quantum computers capable of simulating phenomenon at a scale and speed unthinkable on traditional architectures, an effort of great interest to agencies such as the Department of Energy tasked with tackling some of the world’s most complex science problems.

The Radio Free HPC podcast team announced announced plans to build what they hope will be the “fastest single-node supercomputer in the world” for the High Performance Conjugate Gradients Benchmark (HPCG). Codenamed “Project Cyclops”, the single-node supercomputer demonstrates the computational power that individual scientists, engineers, artificial intelligence practitioners, and data scientists can deploy in their offices.