An AI is set to try and work out how a potentially limitless supply of energy can be used on Earth.
It could finally solve the mysteries of fusion power, letting researchers capture and control the process that powers the sun and stars.
https://youtube.com/watch?v=2qTuZlMvFgY
Researchers involved in the Blue Brain Project – which aims to create a digital reconstruction of the brain – have announced the deployment of a next-generation supercomputer.
Credit: HPE
Continue reading “Supercomputer will simulate ‘entire regions’ of the mouse brain” »
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.
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” »
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.
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?
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?” »
