An unprecedented system designed to help researchers have the potential to “overeat science”, according to imperial researchers.
A partnership between Imperial, the Fleming InitiativeAnd the Google technology giant has given scientists access to a new powerful artificial intelligence, designed to make research faster and more efficient.
Google published the first results of the tests of its “co-scientific” AI systemIn which academics of a handful of large universities asked a question to help them progress in their field of biomedical research.
Our scientists are among the most talented in the world, with the curiosity and the lateral thinking necessary to exploit the technologies of AI for the good of society. Start with new paths for biomedical research and sow seeds for greater scientific efficiency – the prospects could change the situation Professor Mary Ryan Vice-Prévôt (research and business) and US global imperial the academic theme for advanced equipment and cleaning
Imperial researchers approached this challenge laterally, after having realized that AI’s responses would potentially take years to validate, asking it to which they already knew the response of laboratory experiences.
The results, which have not yet been evaluated by peers, are published online for experts and public members to see, and scientists will continue to work with Google to further develop the system before being ready to be launched.
Professor Mary Ryan, Vice-Prévôt (Research and Company) and The Imperial Global USA Lead academic theme for advanced materials and clean technologiesIn Imperial College London, said: “The world is faced with multiple complex challenges – pandemics with environmental sustainability and food security. Responding to these urgent needs means accelerating traditional R&D processes and artificial intelligence will increasingly support scientific discovery and pioneering developments.
“Our scientists are among the most talented in the world, with the curiosity and the lateral thinking necessary to exploit the technologies of AI for the good of society. Starting with new avenues for biomedical research and sowing seeds for greater scientific efficiency – the perspectives could change the situation.
“Last year, Imperial became the first British university to have a basis in permanent science and technology in the United States, Launch of a hub in the San Francisco Bay region. We are proud of our long inheritance of transatlantic collaboration, creation and development of the type of partnerships with industry partners who lead to scientific discoveries that change the world. »»
Specially designed for collaboration
The co-scientific system of Google AI is not intended to fully automate the scientific process with AI. Instead, it is specially designed for collaboration to help experts who can converse with the tool in simple natural language and provide comments in various ways, in particular by directly providing their own hypotheses to test experimentally by scientists.
Dr. Tiago diasa da Costa, who co-amenized the experimental work of the Imperial Life Sciences Department and Validation Work with La Fleming Initiative-a joint partnership between Imperial College London and Imperial College Healthcare Trust-Use the co-scientific AI platform of Google, “said:” in scientific research “. Scientific questions to ask, design experiences to respond and assess the results – sometimes only to discover non -conclusive or non -informative results. »»
Do more with
A-CO-SCIENTIST has accessed several sources of information, including web research, research documents, graphics and databases on this field of research, specialized AI systems for comments and refinement, and private documents submitted manually.
Imperial researchers tackled this challenge from a new angle, based on a relationship established by the Fleming initiative. They designed their question at AI-Co-Scientist, asking him to explore a subject they have been thinking for over ten years, and were the subject of recent unpublished laboratory experiences.
Professor José Penadés, from the Imperial Infectious Disease Department and Fleming Initiative which has co-a-co-a-managed experimental work, said: “Laboratory science is with a high intensity of resources, and with global challenges such as antimicrobial resistance, it is clear that we have to do more with less and accelerate new discoveries.
“When Google’s research team approached us to test its AI platform, we realized that we had to load it with the same scientific questions that we had already explored ourselves and used as the basis of our experimental work.
“This indeed meant that the algorithm was able to examine the available evidence, analyze the possibilities, ask questions, design experiences and propose the same hypothesis that we have arrived through years of meticulous scientific research, but in a fraction of time.
Improve discoveries
Google researchers expect AI to accelerate scientific discovery and increase, rather than reducing scientific collaboration. The tool, for example, could help improve the time it could take from research teams to make a detailed literature review in many areas with which they could otherwise not be familiar. This can in turn accelerate the time of discovery, and perhaps lead to discoveries both by experts in their areas and the drop in obstacles to entry for new researchers who wish to contribute to a leading work.
Scientists work in the field of antimicrobial resistance (AMR), which is an essential global health challenge with increasing rates of infections and deaths worldwide.
La Fleming Initiative, which is a partnership between Imperial College London and Imperial College Healthcare NHS Trust, will launch global work programs to contact AMR engines, develop international AMR expertise networks and describe the strategic research themes to quickly advance solutions to these urgent challenges, in particular:
- Discovery of advanced advanced drugs using AI and automatic learning and rapid experience of high speed for new therapies, and;
- Develop diagnostics to improve early detection, prevent transmission and allow specific treatments.
Dr Dia Dias Da Costa said: “What our results are showing is that AI has the potential to synthesize all available evidence and head to the most important questions and experimental conceptions. If the system works as well as we hope, it could change the situation; excluding the” dead “and we effectively allow to progress at an extraordinary rate.”
Professor Penadés said: “This type of” co-scientific “platform of AI is still at an early stage, but we can already see how he has the potential to overeat science.”
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Find out more about the co-scientific AI project in Google’s blog