The latest figures show a 34.5 % increase in a publication from 2019 to 2020
The computer science boom isn’t deceleration yet, with new figures showing a 34.5 percent increase within the publication of AI research from 2019 to 2020. That’s the next proportion growth than 2018 to 2019 once the number of publications exaggerated by 19.6 percent, told us Theverge
China continues to be a growing force in AI R&D, passing the US for overall journal citations in artificial intelligence research last year. The country already publishes additional AI papers than any other country, however, the US still has additional cited papers at AI conferences — one indicator of the novelty and significance of the underlying analysis.
These figures come back from the fourth annual AI Index, a group of statistics, benchmarks, and milestones meant to measure world progress in artificial intelligence. The report is collated with the assistance of Stanford University.
In several ways, the report confirms trends known in past years: the sheer volume of AI research is growing across a variety of metrics, China continues to be more and more influential, and investors are pumping nevertheless extra money into AI firms.
MORE cash IS BEING invested with IN FEWER AI COMPANIES
However, details reveal subtleties concerning the AI scene. For example, whereas personal investment in AI exaggerated 9.3 % in 2020 (a higher increase than 2018 to 2019 of 5.7 percent), the quantity of newly funded firms receiving funds slashed for the third year in an exceeding row. There are many ways in which to interpret this, however, it suggests that investors expect that the winner-takes-all dynamic that has outlined the school business — within which digital economies of scale tend to reward a couple of dominant players — are replicated within the AI world.
The report’s section on technical advances additionally confirms the key trends in AI capabilities, the most important of that is that the industrial enterprise of pc vision. This field has seen incredible progress throughout the AI boom, with services like object and face recognition currently commonplace. Similarly, generative technologies, which may produce video, images, and audio, still increase in quality and availability. because the report notes, this trend “promises to come up with an incredible vary of downstream applications of AI for each socially helpful and fewer useful purposes.” helpful applications embody cheaper computer-generated media, whereas malicious outcomes include info and AI revenge porn.
One space of AI analysis that sounds like it’s simply commencing to get it’s own is biotech. The drug discovery and style sector received the foremost personal investment of any sector in 2020 ($13.8 billion, 4.5 times over in 2019), and consultants canvassed for AI Index’s report cited DeepMind’s AlphaFold program, which uses machine learning to fold proteins, together of the most important breakthroughs in AI in 2020. (The different often cited breakthrough last year was OpenAI’s text-generation program GPT-3.)
One space wherever the Index AI report struggles to measure progress, though, is in ethics. this can be a wide-ranging area, spanning everything from the politics of face recognition to algorithmic bias, and discussion of those topics is more and more prominent. In 2020, stories like Google’s firing of research worker Timnit Gebru and IBM’s exit from the face recognition business drove discussions of how AI technology ought to be applied. however whereas firms are happy paying feigning to moral principles, the report notes that almost all of these “commitments” are non-binding and lack institutional frameworks. As has been noted within the past: AI ethics for several companies is just some way to slow roll criticism.
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