When Dolica Gopisetty was applying for summer internships earlier this year, employers kept telling her that what they valued most in potential hires was strong communication skills and a willingness to learn new things.

Demographic pay gaps, including the gender pay gap, are the result of more complex factors than just a desire to minimize payroll expenses. They stem from unconscious biases and processes that are better suited to one group compared to another. And, as multiple executives have found out, good intentions and “mindfulness” are not enough to eliminate the gaps.

The alliance between high performance computing and artificial intelligence is proving to be a fruitful one for researchers looking to accelerate scientific discovery in everything from climate prediction and genomics to particle physics and drug discovery. The impetus behind this is to use AI, and machine learning in particular, to augment the predictive capacity of numerical simulations.

Multi-fault earthquakes can span fault systems of tens to hundreds of kilometers, with ruptures propagating from one segment to another. During the last decade, seismologists have observed several cases of this complicated type of earthquake rupture and are now relying on supercomputers to provide detailed models to better understand the fundamental physical processes that take place during these events, which can have far reaching effects.

The concept of a digital twin—the mirroring of a physical object with a virtual object created by simulation-based engineering—has been around since NASA began using numerical simulation technology and comparing the results to ground-based physical models as it developed and managed early spacecraft.

Any day now, quantum computers will solve a problem too hard for a classical computer to take on. Or at least, that’s what we’ve been hoping. Scientists and companies are racing toward this computing milestone, dubbed quantum supremacy and seemingly just beyond our reach, and if you’ve been following the quantum computing story, you might wonder why we’re not there yet, given all the hype.

When it comes to achieving ongoing gains with high-performance computing, no individual or organization can do it alone. It takes a large, robust community to drive the continual advances in HPC that are a prerequisite for meeting the growing demands of applications like data analytics and artificial intelligence.

Take yourself back to the 1980s, the derring-do of Vulcan 607, Peter Davison as Doctor Who and a period when mainframe time at UK establishments of higher learning was a precious thing. Young Charles was a first year student, studying Computer Science and, by all accounts, a bit of a bright spark. Perhaps a tad too bright.

Kurt Gödel (1906–1978) proved that there are truths in mathematical logic that lie outside mathematical logic. An Austrian-born friend of Albert Einstein, Gödel has stirred up debate for decades with his odd, ingenious result. He inspired mathematical platonists like physicist Roger Penrose, Rouse Ball Professor of Mathematics at Oxford University, to base his philosophical argument against mechanism, or, if you will, computationalism — the idea that all thinking is at root computer programs — on that result.

Although Bitcoin is a virtual currency, the energy consumption associated with its use is very real. For a Bitcoin transfer to be executed and validated, a mathematical puzzle must be solved by an arbitrary computer in the global Bitcoin network. The network, which anyone can join, rewards the puzzle solvers in Bitcoin. The computing capacity used in this process -- known as Bitcoin mining -- has increased rapidly in recent years. Statistics show that it quadrupled in 2018 alone.

Researchers at Ben-Gurion University of the Negev (BGU) and Cedars-Sinai Medical Center in Los Angeles have, for the first time, duplicated a patient's blood-brain barrier (BBB), creating a human BBB chip with stem cells, which can be used to develop personalized medicine and new techniques to research brain disorders.

In recent years, researchers have proposed a wide variety of hardware implementations for feed-forward artificial neural networks. These implementations include three key components: a dot-product engine that can compute convolution and fully-connected layer operations, memory elements to store intermediate inter and intra-layer results, and other components that can compute non-linear activation functions.

Exascale computers are soon expected to debut, including Frontier at the U.S. Department of Energy's (DOE) Oak Ridge Leadership Computing Facility (OLCF) and Aurora at the Argonne Leadership Computing Facility (ALCF), both DOE Office of Science User Facilities, in 2021. These next-generation computing systems are projected to surpass the speed of today's most powerful supercomputers by five to 10 times. This performance boost will enable scientists to tackle problems that are otherwise unsolvable in terms of their complexity and computation time.

At its heart, computer science is about problem-solving. Students study the design of software and hardware used to provide solutions for a variety of business, scientific and social problems. Most computing courses focus on software engineering – things like database design, network systems, computer hardware and the internet. But there are other options, such as virtual reality, artificial intelligence, cybernetics, multimedia and games design, and apps design.

In the 13 years since Maria Klawe took over as president of Harvey Mudd College, she has surprised skeptics and achieved a milestone that has confounded most institutions of higher education. Today, 50 percent of Harvey Mudd graduates with degrees in science, technology, engineering, and mathematics are women, and students of color are on the rise at the elite technical college.

A competition sponsored by the National Science Foundation (NSF) to help set the U.S. agenda for fundamental research in science and engineering. Help us select the most pressing research questions that need to be answered in the coming decade by commenting on the listed entries.

There are two trends converging in AI inference and so far, only a small number of companies are enmeshed. The first trend takes us back to the future with analog compute engines, which promise much lower power and potential cost, but with some impacts to complexity creation and avoidance. More on that shortly.

Compared with reading, writing, and arithmetic, science is a relative newcomer to the primary and secondary school curriculum, emerging only in the late 19th century. Nevertheless, proponents of the subject have established it as central to what an educated person needs to know, not least because of the promise of good jobs in scientific fields.

Having a teacher in the classroom rather than offering an online course is one of the keys to increasing student interest in computer science classes, Gov. Asa Hutchinson said during an event that celebrated Arkansas’ leadership in the area. The National Computer Science Summit for State Leaders brought education leaders from 30 states and Washington, D.C., to the Governor’s Mansion.

A competition sponsored by the National Science Foundation (NSF) to help set the U.S. agenda for fundamental research in science and engineering. Help us select the most pressing research questions that need to be answered in the coming decade by commenting on the listed entries.

A research paper which revolutionized how cars read traffic signs has been recognized as the ‘most influential over the decade’ at a ceremony in Tokyo. The ideas the paper put forward have now found their way into everything from autonomous cars to controversial upcoming changes in EU law. On-board traffic sign recognition systems, a common feature of modern cars, use cameras to detect, recognize and track road-side signs in real-time.

A team of Lawrence Livermore National Laboratory (LLNL) researchers has successfully optimized a code that models the human heartbeat for next-generation, graphics processing unit (GPU)-based supercomputers, with an eye on developing it for virtual drug screening and modeling heart activity in clinical settings.

For years, companies have been collecting data, but now, with the help of artificial intelligence (AI) and powerful analytics capabilities, they have the opportunity to get more out of it. However, with this opportunity, AI and analytics also have become big-data challenges that are changing how organizations and industries handle their data.

A competition sponsored by the National Science Foundation (NSF) to help set the U.S. agenda for fundamental research in science and engineering. Help us select the most pressing research questions that need to be answered in the coming decade by commenting on the listed entries.

A tweaked gene or two among the millions or even billions of proteins that make up an organism's DNA are often all that distinguish the drought-tolerant plant, better-performing animal or a person predisposed to cancer from their biological peers, Montana State University noted in an announcement.