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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.

mouse brain supercomputer future
Credit: HPE

Ecole Polytechnique Fédérale de Lausanne (EPFL), the Swiss university and research institute developing the Blue Brain Project, has announced the selection of Hewlett Packard Enterprise (HPE) to build a next-generation supercomputer. This will model and simulate the mammalian brain in greater detail than ever before. The powerful new machine, called “Blue Brain 5”, will be dedicated to simulation neuroscience, in particular simulation-based research, analysis and visualisation, to advance the understanding of the brain.

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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.

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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.

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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.

For years, the United States dominated the supercomputer market. But two years ago, China pulled even on the Top 500 list. China moved decisively ahead last fall and extended the gap in the latest tally.

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.

The problem isn’t that an Intel or AMD processor is too weak to mine for Bitcoin. It’s just as powerful as it was in the early days of Bitcoin. Rather, the problem is that the mining game is a constantly evolving competition. Miners with the fastest hardware and the cheapest power are chasing a shrinking pool of rewards.

The problem arises from a combination of things:

  1. There is a fixed rate of rewards available to all miners—and yet, over the past 2 years, hundreds of thousands of new CPUs have been added to the task. You are competing with all of them.
  2. Despite a large drop in the Bitcoin exchange rate (from $19,783.21 on Dec. 17, 2017), we know that it is generally a rising commodity, because both speculation and gradual grassroots adoption outpaces the very gradual increase in supply. The rising value of Bitcoin attracts even more individuals and organizations into the game of mining. They are all fighting for a pie that is shrinking in overall size. Here’s why…
  3. The math (a built-in mechanism) halves the size of rewards every 4 years. We are currently between two halving events, the next one will occur in May 2020. This halving forces miners to be even more efficient to eke out any reward.
  4. In the past few years, we have seen a race among miners and mining pools to acquire the best hardware for the task. At first, it was any CPU that could crunch away at the math. Then, miners quickly discovered that an nVidia graphics processor was better suited to the task. Then ASICS became popular, and now; specialized, large-scale integrated circuits that were designed specifically for mining.
  5. Advanced mining pools have the capacity to instantly switch between mining for Bitcoin, Ethereum classic, Litecoin, Bitcoin Cash and dozens of other coins depending upon conditions that change minute-by-minute. Although you can find software that does the same thing, it is unlikely that you can outsmart the big boys at this game, because they have super-fast internet connections and constant software maintenance.
  6. Some areas of the world have a surplus of wind, water or solar energy. In fact, there are regions where electricity is free.* Although regional governments would rather that this surplus be used to power homes and businesses (benefiting the local economy), electricity is fungible! And so, local entrepreneurs often “rent” out their cheap electricity by offering shelf space to miners from around the world. Individuals with free or cheap electricity (and some, with a cold climate to keep equipment cool) split this energy savings with the miner. This further stacks the deck against the guy with a fast PC in New York or Houston.

Of course, with Bitcoin generally rising in value (over the long term), this provides continued incentive to mine. It is the only thing that makes this game worthwhile to the individuals who participate.

So, while it is not impossible to profit by mining on a personal computer, if you don’t have very cheap power, the very latest specialized mining rigs, and the skills to constantly tweak your configuration—then your best bet is to join a reputable mining pool. Take your fraction of the mining rewards and let them take a small cut. Cash out frequently, so that you are not locked into their ability to resist hacking or remain solvent.

Related: Largest US operation mines 0.4% of daily Bitcoin rewards. Listen to the owner describe the effiiency of his ASIC processors and the enormous capacity he is adding. This will not produce more Bitcoin. The total reward rate is fixed and falling every 4 years. His build out will consume a massive amount of electricity, but it will only grab share from other miners—and encourage them to increase consuption just to keep up.


* Several readers have pointed out that they have access to “free power” in their office — or more typically, in a college dormitory. While this may be ‘free’ to the student or employee, it is most certainly not free. In the United States, even the most efficient mining, results in a 20 or 30% return on electric cost—and with the added cost of constant equipment updates. This is not the case for personal computers. They are sorely unprofitable…

So, for example, if you have 20 Intel computers cooking for 24 hours each day, you might receive $115 rewards at the end of a year, along with an electric bill for $3500. Long before this happens, you will have tripped the circuit breaker in your dorm room or received an unpleasant memo from your boss’s boss.


Bitcoin mining farms

  • Professional mining pool (above photo and top row below)
  • Amateur mining rigs (bottom row below)

This is what you are up against. Even the amateur mining operations depicted in the bottom row require access to very cheap electricity, the latest processors and the skill to expertly maintain hardware, software and the real-time, mining decision-process.


Philip Raymond co-chairs CRYPSA, hosts the New York Bitcoin Event and is keynote speaker at Cryptocurrency Conferences. He sits on the New Money Systems board of Lifeboat Foundation. Book a presentation or consulting engagement.

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.

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