Hawaii’s volcanos stand as silent sentinels. They guard the secret of how they formed, thousands of miles away from where the edges of tectonic plates clash and generate magma for most volcanos. A 2017 Nature study by Jones et al. found the best clues yet of the origin of Hawaii’s volcanos through simulation of a shift in the Pacific plate three million years ago. What remains elusive is conclusive evidence that mantle plumes exist.

The UK’s fastest academic supercomputer, based at the University of Cambridge, will be made available to artificial intelligence (AI) technology companies from across the UK, in support of the government’s industrial strategy.

For hundreds of years, new materials were discovered through trial and error, or luck and serendipity. Now, scientists are using artificial intelligence to speed up the process. Recently, researchers at Northwestern University used AI to figure out how to make new metal-glass hybrids 200 times faster than they would have doing experiments in the lab. Other scientists are building databases of thousands of compounds so that algorithms can predict which ones combine to form interesting new materials. Others yet are using AI to mine published papers for “recipes” to make these materials.

Using a machine-learning system known as a deep neural network, MIT researchers have created the first model that can replicate human performance on auditory tasks such as identifying a musical genre. This model, which consists of many layers of information-processing units that can be trained on huge volumes of data to perform specific tasks, was used by the researchers to shed light on how the human brain may be performing the same tasks.

Army scientists recently found that the best, high-performing cybersecurity teams have relatively few interactions with their team-members and team captain. While this result may seem counterintuitive, it is actually consistent with major theoretical perspectives on professional team development.

We don't know what jobs today’s children are going to have when they become adults, but we do know that technology is going to play a major role in whatever jobs exist. According to research conducted by Dr. Marina Umaschi Bers at Tufts University, coding is fast becoming a form of literacy that students will need to understand and use, similar to reading and writing in English. It stands to reason that the more exposure children have to computer technology, coding, and robotics, the more prepared they will be for the future.

Computer scientists at Rice University have created a deep-learning, software-coding application that can help human programmers navigate the growing multitude of often-undocumented application programming interfaces, or APIs. Known as Bayou, the Rice application was created through an initiative funded by the Defense Advanced Research Projects Agency aimed at extracting knowledge from online source code repositories like GitHub.

A Queen's University researcher will soon unveil TeleHuman 2 -- the world's first truly holographic videoconferencing system. TeleHuman2 allows people in different locations to appear before one another in life-size 3D -- as if they were in the same room.

At the World Medical Innovation Forum this week, participants were polled with a loaded question: “Do you think healthcare will become better or worse from the use of AI?” Across the respondents, 98 percent said it would be either “Better” or “Much Better” and not a single one thought it would become “Much Worse.” This is an interesting statistic, and the results were not entirely surprising, especially given that artificial intelligence was the theme for the meeting.

More than 120 middle school students, most of them proficient only in either Spanish or English, presented their knowledge Friday of a shared language: code. Students from Worthington Hooker School, St. Martin De Porres Academy, Fair Haven School and Bishop Woods School presented mobile apps they had designed in pairs in the Bishop Woods gymnasium Friday, the culmination of a year of learning about code and computer science concepts.

It will take close to three centuries for gender parity to be achieved among academics working in computer science unless action is taken to fix the imbalance, according to new research from the University of Melbourne. The meta-study – The gender gap in science: How long until women are equally represented? – estimated the gender of 36 million authors from more than 100 countries publishing some 10 million papers in around 6000 journals, covering the Science, Technology, Engineering, Mathematics, and Medicine (STEMM) disciplines over the last 15 years.

A paper posted online in January takes theoretical computer scientists halfway toward proving one of the biggest conjectures in their field. The new study, when combined with three other recent papers, offers the first tangible progress toward proving the Unique Games Conjecture since it was proposed in 2002 by Subhash Khot, a computer scientist now at New York University.

Speaking to Computer Weekly on the sidelines of the recent supercomputing conference in Singapore, Bhushan Desam, Lenovo’s global AI business leader, said HPC is moving from the hands of researchers to the broader enterprise market as more organisations require a lot more computing power to crunch large datasets quickly in AI applications.

Lawrence Livermore National Laboratory is looking for a partner to help further develop and commercialize its method for securely processing protected data in high-performance computing clusters. With the growing demand for big data analysis and improvements in hardware, researchers have been running large-scale simulations in HPC and cloud environments.

When the students in Pierre Neuenschwander’s master’s level “Proteins and Nucleic Acids” class prepared for their midterm in March, they were actually following a path that their professor had begun nearly a decade ago. A lab scientist by training, Neuenschwander, an associate professor of biochemistry at The University of Texas Health Science Center at Tyler (UTHSCT), began to experiment in the mid-2000s with computational drug docking, then in its early days.

Researchers are using computational models powered by HPC to develop better strategies for protecting us from bioterrorism. The Defense Threat Reduction Agency (DTRA) is leading a proactive effort to ensure a fast, effective response to any future bioterrorist attacks. With $1.7 million in newly awarded funding, a research team at the Biocomplexity Institute of Virginia Tech’s Nutritional Immunology and Molecular Medicine Laboratory (NIMML) will head up a five-year project to develop a system public health officials could use to immediately identify the best treatment strategy for anyone exposed to a toxic biological agent.

Here’s a bold prediction for you: machine learning is NOT going to take over the computer science jobs, but computer science will automate machine learning jobs. Well, maybe after I explain what I mean it won’t seem so (figuratively) bold. You see, most of what we call applied machine learning today is actually a relatively unglamorous meta-optimization problem. We’re trying to explore the space of feature representations, sampling strategies, hyperparameters, model types, and model configurations to get the best performance on our test dataset.

Carnegie Mellon University will hire a researcher from the Library of Congress to help it decode a collection that includes two WWII German Enigma machines. The university wants to encourage the study of 19th and 20th century computers, calculators, encryption machines and other materials related to the history of computer science.

Up until Monday, the University of Maryland's computer science department TA handbook instructed female TAs to remain "friendly but firm" and "patient" when dealing with sexist students. Effectively, they were supposed to coddle them. The department removed the handbook from their website after a student pointed it out on Twitter. Nevertheless, as a young male who has rarely been challenged beyond strict academics, and who has experienced near constant affirmation of his own entitlement, I can tell that the handbook's language was written with me in mind.

A national effort led by the White House and Silicon Valley has pushed computer science education onto the radar screens of 70 percent of school principals, according to a new national survey of school leaders by the Education Week Research Center. But one-third of school leaders view computer science as an occasional supplement, rather than the type of comprehensive academic discipline that computer science proponents advocate, according to the survey of principals, assistant principals, and other school-based leaders.

While the buzz around artificial intelligence (AI) can seem ominous, consumers are surprisingly comfortable with the technology in healthcare. A recent survey conducted by SAS, a leader in analytics, found that when presented with a variety of real-world AI scenarios, a majority of people were at ease with AI in healthcare, and more comfortable with AI in healthcare settings than banking or retail.

We all remember learning to ride a bike. Those early wobbly moments with “experts” holding on to your seat while you furiously peddled and tugged away at the handlebars trying to find your own balance. Training wheels were the obvious hardware choice for those unattended and slightly dangerous practice sessions. Training wheel hardware was often installed by your then “expert” in an attempt to avoid your almost inevitable trip to the ER.

Things are getting real for researchers in the UC Santa Barbara John Martinis/Google group. They are making good on their intentions to declare supremacy in a tight global race to build the first quantum machine to outperform the world's best classical supercomputers.

IMAGE IMAGE: THIS IS THE ROADTRACER MAP PROCESS. view more CREDIT: MIT CSAIL Map apps may have changed our world, but they still haven't mapped all of it yet. In particular, mapping roads can be tedious: even after taking aerial images, companies like Google still have to spend many hours manually tracing out roads. As a result, they haven't yet gotten around to mapping the vast majority of the more than 20 million miles of roads across the globe.

Eleven-year-old Hayliee Tat traveled two-and-a-half hours with her family for a sneak preview of what the future looks like with robots in it. Their destination: the robotics open house at the University of Southern California (USC). The annual event draws mainly elementary and secondary school students from Los Angeles and beyond to spark their interest in robotics and computer science.