AI News, MIT Technology Review artificial intelligence
China may overtake the US with the best AI research in just two years
White House plans to cut funding for science couldn’t come at a worse time for the country’s ambitions to lead the world in artificial intelligence.
“Our economy and security has benefited greatly from the cutting-edge research being home grown in our universities and research institutes,” says Oren Etzioni, CTO of Ai2 and a leading AI researcher.“We need to urgently increase AI research funding, and commit to visas for AI students and experts.” But there are reasons to be cautious about this research, too.
“There’s definitely momentum,” he said by phone from Beijing, “but the time horizon is farther out.” Lee, who is the author of a recent book on AI in China, AI Superpowers: China, Silicon Valley, and the New World Order, says the US still boasts the vast majority of the world’s most influential scientific thinkers, according to measures of an individual’s citations (the US is also still far ahead of China in terms of “best paper awards” at major conferences).
Quantum computing should supercharge this machine-learning technique
In principle, by exploiting the strange, probabilistic nature of physics at the quantum, or atomic, scale, these machines should be able to perform certain kinds of calculations at speeds far beyond those possible with any conventional computer (see “What is a quantum computer?”).
At the same time, because we don’t yet have large quantum computers, it isn’t entirely clear howthey will outperform ordinary supercomputers—or, in other words, what they will actually do (see “Quantum computers are finally here.
Because the machine is so small, it doesn’t prove that bigger quantum computers will have a fundamental advantage over conventional ones, but it suggests that would be the case, The largest quantum computers available today have around 50 qubits, although not all of them can be used for computation because of the need to correct for errors that creep inas a resultof the fragile nature of these quantum bits.
“We’re at stage where we don’t have applications next month or next year, but we are in a very good position to explore the possibilities,” saysXiaodi Wu, an assistant professor at the University of Maryland’s Joint Center for Quantum Information and Computer Science.Wu says he expectspractical applications to be discovered within a year or two.
An AI for generating fake news could also help detect it
Last month OpenAI rather dramatically withheld the release of its newest language model, GPT-2, because it feared it could be used to automate the mass production of misinformation.
In a new experiment, researchers at the MIT-IBM Watson AI Lab and HarvardNLP considered whether the same language models that can write such convincing prose can also spot other model-generated passages.
When you feed the tool a passage of text, it highlights the words in green, yellow, or red to indicate decreasing ease of predictability;
Indeed, the researchers found that passages written by the downgraded and full versions of GPT-2 came out almost completely green and yellow, while scientific abstracts written by humans and text from reading comprehension passages in US standardized tests had lots of red and purple.
- On Sunday, March 24, 2019
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