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Artificial Intelligence in Astronomy

Indeed, the incredible progress in computer power, the availability of large amounts of data and the ability to process them (even if they are unstructured), coupled to a theoretical understanding of techniques such as machine learning, and, more generally, data mining, has allowed AI to advance at a frantic rate, including in science.

The sheer volume of astronomical data (which increases exponentially) necessitates a new paradigmatic approach – AI – which must be, to a large extent, automated and made much more efficient.

The perspectives of information theory, neural science, and other areas on AI are expected to stimulate and guide the development of the next generation of intelligent methods used in astronomy and elsewhere.

Is China’s Expertise In Artificial Intelligence Over-Hyped?

China has been often touted as the fastest emerging hub for AI development, even surpassing the superpowers such as the USA in the emerging tech.

Chinese companies and government are taking the analytics and AI play quite seriously, bringing newer and favourable policies around its adoption.  Numbers suggest that in 2018, 60 per cent of total global AI investments poured into China with investments from VCs, private equity and the Chinese government.

Not just the companies but educational institutes are taking AI seriously as many schools are teaching AI courses to make its citizens AI-ready.  There is no doubt that China has been serious about its AI strategy, but is its power and supremacy in artificial intelligence real or exaggerated?

Many believe that most of China’s AI giants are less impressive than they seem, barring a few such as Baidu and Huawei.  Some of the areas that need re-tinkering for China to claim its supremacy in AI are:  Research papers: There are reports which suggest that China leads the US in the number of AI-related patents and research papers.

Reports suggest that many Chinese AI expertise may only have an associate or technical certificates, unlike more advanced engineering degrees in other countries.  Technologies like facial recognition are questionable: In technologies like facial recognition, China may be far behind the US in the compilation of database and execution of technology.  While China has trained its facial recognition models by training over one billion facial images, FBI for instance, has its own database of over 640 million faces, according to a Government Accountability Office report.

How artificial intelligence can tackle climate change

AI can also unlock new insights from the massive amounts of complex climate simulations generated by the field of climate modeling, which has come a long way since the first system was created at Princeton in the 1960s.