Bitcoin miner ai

All programs can be represented by graphs that consist of nodes linked by lines, loops, or jumps. Instead of finding a match to a known criminal program, however, the system checks to determine whether a graph is among those that identify programs that are supposed to be running on the system. The researchers tested their system by comparing a known, benign code to an abusive, Bitcoin mining code. They found that their system identified the illicit mining operation much quicker and more reliably than conventional, non-AI analyses.

Because the approach relies on graph comparisons, it cannot be fooled by common techniques that illicit cryptocurrency miners use to disguise their codes, such as including obfuscating variables and comments intended to make the codes look like legitimate programming.

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While this graph-based approach may not offer a completely foolproof solution for all scenarios, it significantly expands the set of effective approaches for cyber detectives to use in their ongoing efforts to stifle cyber criminals. Based on recent computer break-ins, such software watchdogs will soon be crucial to prevent cryptocurrency miners from hacking into high-performance computing facilities and stealing precious computing resources. Los Alamos enhances national security by ensuring the safety and reliability of the U.

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Volatility burns holes in miners’ pockets

Now he needed a chip that could launch Bitmain onto a new trajectory, one that would help it master a world-altering technology called deep learning, a branch of artificial intelligence. While performing his nightly meditation, a practice he has kept up for nearly a decade, it suddenly came to Zhan. A sophon is a fictional proton-sized supercomputer from The Three-Body Problem that is sent by an alien civilization to halt scientific progress on Earth.

The aliens use it to take over Earth when their own planet is destroyed by the chaotic gravitational forces of its three suns. But by giving it such a name Zhan and his Bitmain co-founder, Jihan Wu, have signaled to the world their intentions.

Bitcoin mining companies are pivoting to AI chips

If things go to plan, thousands of Bitmain Sophon units soon could be training neural networks in vast data centers around the world. Bitmain could pull it off, says Michael Bedford Taylor, a professor at the University of Washington who has studied the bitcoin mining industry and its specialized chips. Taylor says these types of chips, called application-specific integrated circuits, or ASICs, that are designed to perform a single function extremely efficiently could create the next wave of distributed computing pdf.

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The company is a marvel of vertical integration. Bitmain designs the silicon that goes into its bitcoin mining rigs, assembles the machines, then sells them to customers around the world. Bitmain may now be the most influential company in the bitcoin economy by virtue of the sheer amount of processing power, or hash rate, that it controls.

Its mining pools, Antpool and BTC. At the crux of the technical debate: How to increase the number of transactions the bitcoin network can handle at any given time.


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The recent split of bitcoin into bitcoin and bitcoin-cash illustrated one way to do this. Miners must compete with one another to be the first to find a new block. In return for performing this work, which requires massive processing power and incurs hefty electricity costs, miners are rewarded with a certain number of bitcoins for each block they add to the blockchain.

Wu, the business brains behind Bitmain, is a polarizing figure in the bitcoin world. Some see this as technically risky, and philosophically fraught because it concentrates power in the hands of miners—like Bitmain. Critics of Bitmain suspect that Wu was behind the recent, somewhat related split of bitcoin called the bitcoin-cash hard fork.

Bitcoin Mining Vectors

That split was supported by a miner in Shenzhen named ViaBTC—which happened to be a company that Bitmain has invested in. He says Wu is trying to dominate the bitcoin economy and shape it for his own ends. Wu, 31 years old, spars with his critics on Twitter, where he says he is inundated by professional trolls. Wu says he regrets that particular Twitter outburst. Another split for bitcoin is looming in November, when the community must again decide if it will raise the block size limit.

And if people do not agree with each other, a fork will be inevitable. It is only a matter of time. Zhan, the Sophon chip designer and the technical brains behind Bitmain, was running a startup called DivaIP in that made a set-top box that allowed a user to stream a television show to a computer screen. Zhan, a graduate of the Chinese Academy of Sciences, famed for its technical degrees, was trying to raise funding for DivaIP, so he asked Wu for advice.

Wu had discovered bitcoin in in a blog post, and one line stuck in his head. Bitcoin was envisioned as a form of stateless money that could be owned by anyone but controlled by no one—with no central bank, and no government in charge. In short order, Wu emptied his bank account to buy bitcoin, then just a fringe idea. One bitcoin could be purchased for under a dollar in early Wu realized that he could make money not just by trading bitcoin, but by creating it.

At the time, a miner could earn 25 bitcoins every 10 minutes. Wu had capital from his bitcoin investments. But he needed a chip designer. Remembering Zhan, Wu set out everything he understood about bitcoin in an e-mail to him.