China Will Overtake the USA in Artificial Intelligence
China Will Overtake the USA in Artificial Intelligence
China to Surpass the US in Artificial Intelligence by 2025?
Artificial Intelligence Breakthroughs
To date, most of the major Artificial Intelligence breakthroughs have come from American or Canadian organizations like IBM's Deep Blue and Watson. Both of these systems demonstrated the potential power of deep learning systems, but remember deep learning is not Artificial Intelligence. Recently we have seen some new players for example iStein Neural Networks, who are chasing down real machine conciseness. However Artificial Intelligence still largely involves the same old technology, that is sold as "Artificial Intelligence" but certainly is not intelligence as we understand it. Some examples would be automated NASA probes, Spirit and Discovery which have navigated the surface of Mars with very little human interaction, and companies like Ford, GM and alliances such as the Renault-Nissan Alliance who have pushed the race towards automated vehicles. The robot revolution is definitely changing Wall Street, and one expert predicts as much as 30 % of banking jobs could possibly be gone within 5 years.
Some Experts Worried About Artificial Intelligence
Experts in the field have a wide range of opinions on how we should be preparing for automation's rise. In Canada, with projects like the Vector Institute, the government is focusing on investments in retraining and education, and this emphasis is shared by many, including Alibaba's Jack Ma and D2L's Jeremy Auger. Other experts aren't as worried about the issue generally, because they see better computers and technology as a source of more jobs for the I.T. literate. Google's Ray Kurzweil and Executive Chairman of Alphabet, Eric Schmidt, take this positive position. However others, like Stephen Hawking and Elon Musk, take a dimmer view of how Artificial Intelligence is likely to affect the job market-and possibly human survival.
Eric Schmidt warned that China was on track to surpass the US in Artificial Intelligence by 2025 and to 'dominate the industry' by 2030 "unless American minds change their approach". Schmidt serves as both the executive chairman of Alphabet, Inc. As well as the chairman of the Defense Innovation Board (DIB), a board of Silicon Valley's top minds who have partnered with the US Department of Defense.
The Military Must Catch Up
Schmidt recently said that " The Military Must Catch Up in Artificial Intelligence, Innovation Advisory Board Chairman Says" that of all the recommendations the board made, the most important was that US Department of Defense needs to catch up in with China in the field of Artificial Intelligence The comments came in response to Beijing outlining their Artificial Intelligence strategy. In a speech before the Artificial Intelligence and Global Security Summit.
"Trust me. These Chinese people are wonderful," he said. "It's pretty simple. By 2020, the Chinese will have caught up, by 2025, they will be better than us and by 2030, the Chinese will dominate the industries of Artificial Intelligence". Artificial Intelligence is definitely the new frontier, and the Defense Department must spend money on this breakthrough or perhaps be in danger of not being competitive in the future, said Eric Schmidt, the chairman of the Defense Innovation Board, during a discussion at the Center for a New American Security today. He gave a stark warning regarding the Artificial Intelligence problem for the military: "The military is very large and cumbersome. The military generally speaking doesn't build things, it uses contractors." Contractors build what they are asked to build, and the military has not asked for Artificial Intelligence systems, he said. "It takes five to 10 to 30 years to go from a spec to the delivery," Schmidt said. "The core issue is how do you get the leaders, who passionately would like to get these things done, to deliver these solutions quickly?" Its worth reminding ourselves the Chinese Government can simply make things or direct an expert to make them. The Chinese Government is not restricted in the same way that the western world is.
Artificial Intelligence Healthcare Technology Stunted
It is not just the field of defense where the USA seems to be falling behind, recently in a Forbes article "U.S. Falls Behind China & Canada In Advancing Healthcare With A.I.", Sally Daub, CEO of Enlitic, a front runner in providing Artificial Intelligence based healthcare solutions, explains why Artificial Intelligence healthcare technology adoption has been stunted. "Here the conversation revolves around 'Who is going to pay for this? What are the economic incentives to use this technology?' rather than 'Will this technology result in better outcomes for patients?'," she explains. Payoff structures may even discourage insurers from footing the bill for early intervention treatments. If insurers don't approve a new technology, they don't issue insurance procedure codes necessary for healthcare providers to be reimbursed for services, which means providers won't adopt the solution either.
Top Three Supercomputers are Chinese & Swedish
A contributing factor to the United States potentially loosing the Artificial Intelligence race to China, could be the reality that the United States no longer ranks within the top three countries with fastest supercomputer in the world.
At the top spot is the TaihuLight. The TaihuLight can be found at the National Supercomputing Center in Wuxi, China.
- Total Number of Cores : 10,649,600
- Rmax (TFlops/s) : 93,014.6
- Rpeak (TFlops/s) : 135,435.9
- Memory : 1,310,720 GB
The second is also a Chinese supercomputer.
Third was an upgraded supercomputer in Switzerland that was built from nVidia deep learning cards. The information that the United States was now fourth was published in the biannual list of top supercomputers released by the TOP500 organization. It is only the second time that the United States was absent from the top 3 most powerful supercomputers since the organization started compiling the rankings 24 years ago.
4th was the USA based Titan - Cray XK7, Opteron 6274 16C 2.200GHz, Cray Gemini interconnect, NVIDIA K20x , Cray Inc.
DOE/SC/ at Oak Ridge National Laboratory
Maybe the iStein two quadrillion neuron computer (said to be the largest neural network in the world) would be a great place to look for the next top spot?
Article Written By Numus Software : November 5th, 2017.