How disparate policies are unraveling a complex ecosystem
Over the past two decades, U.S. and Chinese technological trajectories have been closely linked. Internet protocols, hardware design and manufacturing, software development and deployment, and services and standards have to varying degrees been cross-border phenomena, with China and the United States two of the world’s most consequential and integrated countries.
The last few years, however, have seen a rise in mutual suspicion and moves—both direct and indirect—to unwind this extraordinary level of technological interdependence. The overall effect is an increasing degree of separation between the two ecosystems, a process widely known as decoupling. Read More
Daily Archives: September 7, 2020
How AI will automate cybersecurity in the post-COVID world
By now, it is obvious to everyone that widespread remote working is accelerating the trend of digitization in society that has been happening for decades.
What takes longer for most people to identify are the derivative trends. One such trend is that increased reliance on online applications means that cybercrime is becoming even more lucrative. For many years now, online theft has vastly outstripped physical bank robberies. Willie Sutton said he robbed banks “because that’s where the money is.” If he applied that maxim even 10 years ago, he would definitely have become a cybercriminal, targeting the websites of banks, federal agencies, airlines, and retailers. According to the 2020 Verizon Data Breach Investigations Report, 86% of all data breaches were financially motivated. Today, with so much of society’s operations being online, cybercrime is the most common type of crime. Read More
A Very Simple Introduction to Deep Learning on Amazon Sagemaker
TSMC and Graphcore Prepare for AI Acceleration on 3nm
One of the side announcements made during TSMC’s Technology Symposium was that it already has customers on hand with product development progressing for its future 3nm process node technology. As we’ve reported on previously, TSMC is developing its 3nm for risk production next year, and high volume manufacturing in the second half of 2022, so at this time TSMC’s lead partners are already developing their future silicon on the initial versions of the 3nm PDKs.
One company highlighted during TSMC’s presentations was Graphcore. Graphcore is an AI silicon company that makes the IPU, an ‘Intelligence Processing Unit’, to accelerate ‘machine intelligence’. It recently announced its second generation Colossus Mk2 IPU, built on TSMC’s N7 manufacturing process, and featuring 59.2 billion transistors. The Mk2 has an effective core count of 1472 cores, that can run ~9000 threads for 250 Teraflops of FP16 AI training workloads. The company puts four of these chips together in a single 1U to enable 1 Petaflop, along with 450 GB of memory and a custom low-latency fabric design between the IPUs. Read More
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