The British government published an in-depth report on the development potential of artificial intelligence (AI) on the official website on October 15th, providing comprehensive advice on how to maximize this revolutionary major technology in the UK. The report entitled "Developing the British Artificial Intelligence Industry" was jointly written by the UK's Department of Digital, Cultural, Media and Sports, and the Department of Commerce, Energy and Industrial Strategy, inviting the famous computer scientist Damé Wendy. Hall and Jerome Pesenti made a pen.
AI has been experiencing a rapid development stage in recent years, and applications have penetrated into various fields. AI allows computers to analyze and learn information faster and faster than humans. From drug discovery to logic, almost all industrial sectors have greatly improved their efficiency and capabilities due to AI. AI software can be integrated into existing processes. Improve and scale, greatly reducing costs. The report estimates that by 2035, AI will bring 184 billion US dollars of output value to the British economy, and its annual output value will increase from 2.5% to 3.9%.
The report suggests that the UK government should increase investment in AI R&D, strengthen the management and sharing of big data, train more AI talents, and ensure that the UK is a world leader in the AI ​​field.
Strive to stay aheadAccording to the report, the UK has taken the lead in the AI ​​field and is in a leading position in the world. However, international competition is fierce. The government must take action to ensure this status and even turn the UK into the “world's best†for R&D and application of AI technology.
Alan Turing, the father of AI and computer, is from the United Kingdom. The United Kingdom is the birthplace of AI. The advantages are not to be said. Over the years, AI R&D investment has formed a unique mechanism. The UK Engineering and Physical Sciences Council (EPSRC) has funded research and development for 143 scientific projects with the aim of developing intelligent technologies and systems whose interdisciplinary research systems help AI tools and technologies meet ethical and application needs.
In 2015, EPSRC, together with Cambridge, Edinburgh, Oxford, Warwick and the University of London, the five leading British universities, invested $42 million to establish the Alan Turing Institute to study AI in defense security, health, computing technology, data center engineering. And applications in areas such as finance and smart cities, and help train next-generation data scientists. In addition, the UK has established the Alan Data Research Group, the Open Data Institute, the National Data Innovation Center and the Data Science Division of the Royal Statistical Society to make breakthroughs in some key areas of AI research.
It is reported that between 2011 and 2015, the number of research papers published in the UK AI field reached 10,000, which is lower than China, the United States and Japan, ranking fourth, so the UK needs to further strengthen investment and improve competitiveness. The report suggests that the UK should turn the Alan Turing Institute into a national-level research institute to conduct in-depth research on AI and data science; universities should accelerate the transformation of AI's intellectual property; strengthen collaboration among agencies and improve AI computing power.
Improve data opennessIn addition to algorithms, the development of AI is the most important source of data. The report believes that the UK must also increase the degree of data openness, making it easier for researchers to obtain relevant data for various industries.
Although the Open Data Institute, established in 2012, already has a global data network, data from hundreds of companies, including banking, agriculture and sports, can be publicly available at research institutes, but this is not enough, and more companies are needed to participate. , sharing data with AI developers. In addition, the data needs to be converted into a standard format that can be recognized by the machine for easier sharing.
However, because of privacy, security, business interests and other factors, a large amount of data can not be disclosed, hindering scientists to develop high-value new AI applications for these industries. To facilitate the sharing of these sensitive data, the report recommends establishing a complete trust mechanism to protect the confidentiality needs of data providers. The report believes that the government develops data trust procedures, design framework processes and protocol content, which not only ensures the security of data exchange, but also meets the needs of both AI developers and data providers.
Increase AI education investmentTechnology development is inseparable from talent, and AI research and development is also true. According to the report, AI skills experts are currently in short supply in the UK. To this end, it is necessary to train from high-level talents and lower-level practical technical talents.
The report recommends that enterprises increase their investment in the establishment of AI undergraduate talent training programs; encourage existing undergraduate talents to continue their studies, and develop talents other than computer and data science into graduate students in the AI ​​field through one-year study, such as graduates in biomedical sciences. Undergraduate students, through a year of concentrated study of AI research and development technology, focus on the development of medical-related AI applications; attract graduate students from different disciplines, study at famous universities, train a large number of doctoral and post-doctoral talents in the AI ​​field; develop online courses for AI Cultivate technical labor talents; set up Turing AI working partners under the Alan Turing Institute to attract the best AI talents in the world and invest huge sums of money to study them in the UK.
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