A University of Michigan (U-M) team has announced plans to develop an “unhackable” computer, funded by a new $3.6 million grant from the Defense Advanced Research Projects Agency (DARPA). The goal of the project, called MORPHEUS, is to design computers that avoid the vulnerabilities of most current microprocessors, such as the Spectre and Meltdown flaws announced last week.
Over the past few days we’ve covered major new security risks that struck at a number of modern microprocessors from Intel and to a much lesser extent, ARM and AMD. Information on the attacks and their workarounds initially leaked out slowly, but Google has pushed up its timeline for disclosing the problems and some vendors, like AMD, have issued their own statements. The two flaws in question are known as Spectre and Meltdown, and they both relate to one of the core capabilities of modern CPUs, known as speculative execution.
A recent list showing the United States losing out to China on the ranking of the world’s fastest supercomputers has one former national security scientist concerned. “It is almost like a canary in the mine type of situation,” said Tomas Diaz de la Rubia, chief scientist and executive director of Discovery Park at Purdue University. “China has been very aggressive on this end of high performance computing.” And that is “worrying,” he added.
IBM Research announced Tuesday (Oct. 24, 2017) that its scientists have developed the first “in-memory computing” or “computational memory” computer system architecture, which is expected to yield yield 200x improvements in computer speed and energy efficiency -- enabling ultra-dense, low-power, massively parallel computing systems.
An international team led by MIT associate professor of materials science and engineering Geoffrey Beach has demonstrated a practical way to use “skyrmions” to create a radical new high-speed, high-density data-storage method that could one day replace disk drives -- and even replace high-speed RAM memory.
For more than 50 years, Moore's Law has reigned supreme. The observation that the number of transistors on a computer chip doubles roughly every two years has set the pace for our modern digital revolution--making smartphones, personal computers and current supercomputers possible. But Moore's Law is slowing. And even if it wasn't, some of the big problems that scientists need to tackle might be beyond the reach of conventional computers.
While the percentage of students who use a computer in math class at least once every few weeks has been steadily increasing over the past few years, 74 percent of eighth-grade math students report they never or hardly ever use computers in class.
Some of the earliest computers relied upon tape drives for storage, but we’ve since moved on to faster and more versatile storage technologies. Still, tape drives continue to exist in enterprise, and they’ve been advancing by leaps and bounds while you haven’t been paying attention.
The National Science Foundation (NSF) today realized the initial phase of its $30 million investment to upgrade the nation’s computational research infrastructure through the dedication of Stampede2, one of the most powerful supercomputing systems in the world.
IBM has announced that it is developing brain-inspired an AI supercomputing system. The system is quite similar to the biological brain. It has 64 million neurons and 16 billion synapses. The chief of the development project has emphasized on IBM’s production over the last six years. He also believes that IBM will soon become a leading company in the AI innovations.