The invasive and expensive diagnosis process of bladder cancer, which is one of the most common and aggressive cancers in the United States, may be soon helped by a novel non-invasive diagnostic method thanks to advances in machine learning research at the San Diego Supercomputer Center (SDSC), Moores Cancer Center, and CureMatch Incorporated.

Architectural specialization is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law. Using application-specific hardware to accelerate an application or part of one, allows the use of hardware that can be much more efficient, both in terms of power usage and performance.

To gauge the performance of a supercomputer, computer scientists turn to a standard tool: a set of algorithms called LINPACK that tests how fast the machine solves problems with huge numbers of variables. For quantum computers, which might one day solve certain problems that overwhelm conventional computers, no such benchmarking standard exists.

For the first time, scientists have used artificial intelligence to create complex, three-dimensional simulations of the Universe. It's called the Deep Density Displacement Model, or D3M, and it's so fast and so accurate that the astrophysicists who designed it don't even know how it does what it does.

“Sorry, I don’t know that one.” Alexa, Cortana, even the automated announcements on public transport – they all have one thing in common: a female voice or female avatar. I have been working on dialogue systems since the first generation of projects from the early 1990s. By the end of that decade, many American call centres were answered by robot “assistants” who would cheerfully greet customers with “How may I help you?” and handle their various requests for flight booking, movie ticketing and so on.

The two-year High Performance Computing for Wind Energy’ (HPCWE) project, which will be focused on wind power in both the European and Brazilian energy markets, involves 12 partners from across Europe and Brazil with expertise in HPC hardware, wind energy, numerical methods, software development and industrial applications.

Told to optimize for speed while racing down a track in a computer game, a car pushes the pedal to the metal ... and proceeds to spin in a tight little circle. Nothing in the instructions told the car to drive straight, and so it improvised.

"STEM toys" are meant to encourage children to develop their skills in the key disciplines of science, technology, engineering, and mathematics, and shoppers are seeing more and more of them on digital shelves. But many parents wonder whether these toys really deliver on their promises.

EPFL researchers have studied the dynamics of network structures using one of the world's most-visited websites: Wikipedia. In addition to a better understanding of online networks, their work brings exciting insights into human social behavior and collective memory.

The microcomputer revolution of the 1970s triggered a Wild West-like expansion of personal computers in the 1980s. Over the course of the decade, dozens of personal computing devices, from Atari to Xerox Alto, flooded into the market. CPUs and microprocessors advanced rapidly, with new generations coming out on a monthly basis.

Women will not reach parity with men in writing published computer science research in this century if current trends hold, according to a recent study. The enduring gender gap is most likely a reflection of the low number of women now in computer science, said researchers at the Allen Institute for Artificial Intelligence, a research lab in Seattle that produced the study.

Being able to noninvasively control robotic devices using only thoughts will have broad applications, in particular benefiting the lives of paralyzed patients and those with movement disorders. BCIs have been shown to achieve good performance for controlling robotic devices using only the signals sensed from brain implants.

No matter where Florida lawmakers stand on K-12 education policy, there is one area where they can readily find common ground: expanding computer science education. Computing occupations are now the top source of all new wages in the United States, with computing jobs accounting for more than half of all projected new openings in STEM fields.

Earning a computer science (CS) degree teaches students to solve common technical problems and build programs in a variety of coding languages. However, with constant innovation in the technology industry, there will always be new information that may be missed in the curriculum. Additionally, there are workplace soft skills that CS coursework won’t necessarily teach students.

A scientific instrument specifically designed to study the Great American Eclipse of 2017 will soon be making its second journey through the shadow of the moon. On July 2, scientists from the National Center for Atmospheric Research (NCAR) and the Center for Astrophysics | Harvard & Smithsonian (CfA) will be sending a high-altitude research jet through the path of totality of a solar eclipse, taking place in the Southern Hemisphere, to capture data that could unveil mysteries about the Sun’s magnetic field.

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.