Lifeboat Foundation

An international team of scientists from Eindhoven University of Technology, University of Texas at Austin, and University of Derby, has developed a revolutionary method that quadratically accelerates artificial intelligence (AI) training algorithms. This gives full AI capability to inexpensive computers, and would make it possible in one to two years for supercomputers to utilize Artificial Neural Networks that quadratically exceed the possibilities of today’s artificial neural networks. The scientists presented their method on June 19 in the journal Nature Communications.

Artificial Neural Networks (or ANN) are at the very heart of the AI revolution that is shaping every aspect of society and technology. But the ANNs that we have been able to handle so far are nowhere near solving very complex problems. The very latest supercomputers would struggle with a 16 million-neuron network (just about the size of a frog brain), while it would take over a dozen days for a powerful desktop computer to train a mere 100,000-neuron network.

Thomas Sterling has retracted his prediction that we will never reach ZettaFLOP computers. He now predicts zettaFLOPS can be achieved in less than 10 years if innovations in non-von Neumann architecture can be scaled. With a change to cryogenic technologies, we can reach yottaFLOPS by 2030.

Chinese physicists realized a genuine entanglement of 18 quantum particles, beating their own world record set in 2016, while the team has set their next goal at 50-qubit entanglement.

The result of the study was published in the US journal Physical Review Letters on June 28. Chinese leading quantum physicist Pan Jianwei led the project. Together with his team, Pan earlier demonstrated quantum entanglement with 10 quantum bits, or “qubits,” in 2016, according to a report sent by Pan’s team to Global Times on Tuesday.

Quantum entanglement is a weird phenomenon which Einstein called “spooky action at a distance” where quantum particles are connected “even if they are at opposite ends of the universe,” an Australia-based Cosmos Magazine reported.

Continue reading “Chinese Physicists’ Quantum Achievement Signals Dawn of Supercomputer” »

Government news resource covering technology, performance, employment, telework, cybersecurity, and more for federal employees.

China has 206 of the top 500 supercomputers — compared to the U.S.’s 124.

America is now home to the world’s speediest supercomputer. But the new list of the 500 swiftest machines underlines how much faster China is building them.

The list, published Monday, shows the Chinese companies and government pulling away as the most prolific producer of supercomputers, with 206 of the top 500. American corporations and the United States government designed and made 124 of the supercomputers on the list.

Continue reading “China Extends Lead as Most Prolific Supercomputer Maker” »

I get this question a lot. Today, I was asked to write an answer at Quora.com, a Q&A web site at which I am the local cryptocurrency expert. It’s time to address this issue here at Lifeboat.

Question

I have many PCs laying around my home and office.
Some are current models with fast Intel CPUs. Can
I mine Bitcoin to make a little money on the side?

Answer

Other answers focus on the cost of electricity, the number of hashes or teraflops achieved by a computer CPU or the size of the current Bitcoin reward. But, you needn’t dig into any of these details to understand this answer.

You can find the mining software to mine Bitcoin or any other coin on any equipment. Even a phone or wristwatch. But, don’t expect to make money. Mining Bitcoin with an x86 CPU (Core or Pentium equivalent) is never cost effective—not even when Bitcoin was trading at nearly $20,000. A computer with a fast $1500 graphics card will bring you closer to profitability, but not by much.

Continue reading “Extra PCs laying around? Why not mine Bitcoin?” »

Neither the machine or nor the professional human debaters were given prior knowledge of the subject of the on-stage debate, which took place in San Francisco on Monday.

The planned Aurora 21 “exascale” supercomputer may be the first that’s powerful enough to map the human brain.

IBM and the Department of Energy’s Oak Ridge National Laboratory have revealed the world’s “most powerful and smartest scientific supercomputer.” Known as Summit, IBM says that its new computer will be capable of processing 200,000 quadrillion calculations per second. To put that into perspective, if every person on Earth did a single calculation per second, it would take 305 days to do what Summit does in a single second. Assuming those numbers are accurate, that would make Summit the world’s fastest supercomputer. It would also mark the first time since 2012 that a U.S. computer held that title.

Summit has been in the works for several years now and features some truly impressive specs. According to Tech Crunch, the computer will feature 4,608 compute servers, 22 IBM Power9 chips and six Nvidia Tesla V100 GPUs each. In addition, the machine will feature more than 10 petabytes of memory. As the Nvidia GPUs attest, this machine will be primarily used for the development of artificial intelligence and machine learning. In addition to the work on A.I., Summit will also be used for research into energy and other scientific endeavors at Oak Ridge.

IBM was the Department of Energy’s general contractor for the Summit project, but it also had the help of several other partners within the tech industry. The GPUs were provided by Nvidia, which remains one of the leaders in cutting-edge GPU development. Mellanox and Redhat were also brought on to work on the development of Summit.