Digital Science Webinar: Scientific Research in the Age of Artificial Intelligence

With rapidly increasing advances that extend across science, researchers are applying artificial intelligence (AI), often in the form of neural networks, to tackle big challenges. Unlike earlier AI projects, such systems don’t need to be programmed in advance with human expert knowledge. They learn independently and unsupervised, discovering patterns or anomalies in data sets that are far larger and noisier than human researchers can cope with.

In a way that mirrors the way our brains function, the outputs of these neural networks are based on computations that currently can’t be explained. How does this align with the scientific method? Can ‘AI neuroscience’ unlock this black box? At the sharp end of the industry, some are using AI to design and carry out experiments as well as interpret the results, opening up the prospect of AI itself becoming a scientist.

Hiroaki Kitano, Director of Sony Science Laboratories, has a grand challenge for science: “To develop an AI system that can make major scientific discoveries in biomedical sciences that is worthy of a Nobel Prize and far beyond.”

Join our expert panel as they explore these issues. Attendees will be introduced to the basic tenets of AI and hear about practical examples of the technology in research, as well as the ethical implications all this brings.

Tune into our webinar, “ Scientific Research in the Age of Artificial Intelligence” on Thursday 24 May at 4pm BST (11am EDT).

From Digital Science, Steve Scott will be moderating the panel and Cameron Shepherd will be hosting the webinar.

Steve tweets @manuscript  and Cameron @cameron_jms.

Thought leaders speaking on the webinar:

Jeffrey Ng is Chief Scientist at Founders Factory and brings experience as a serial technologist, start-up founder, venture due diligence and deep R&D strategist on Big Data, Natural Language Processing, Computer Vision, state-of-the-art Deep Learning and deployment of AI platforms at internet scale for Tier1 Silicon Valley companies. Jeff has a doctorate in Machine Learning. During 7 years of research at Imperial College, he reverse engineered the human visual cortex. He has co-founded two startups and acted as technology and strategy advisor to startups in the AI web design, medical image analysis and fashion-centred social platforms. He has authored over 45 scientific articles and 3 granted patents. Jeff tweets @jeffreynsk

Doug Raymond: Doug is the General Manager for Semantic Scholar, Allen Institute for Artificial Intelligence. He previously served in product management and general management roles at Amazon and Google, and was a founder of two venture-backed startups. He received his MBA from Harvard Business School and a BS in Economics from the United States Military Academy at West Point.

Anita Schjøll Brede is CEO and co-founder of Iris AI. She is a serial entrepreneur, tech geek, and storyteller. Prior to co-founding Iris in 2015, Anita co-founded uLabs Ventures and became a board member at Venture Advisory Board. The past 10 years of her career has spanned 9 industries including developing an e-learning tool in Silicon Valley, performing theatre for babies, reducing energy consumption in the process industry through heat exchanger network optimization and more. Anita tweets @twitnitnit

Roman Gurinovich is a CEO at Xpansa and a Systems Architect at sci.AI. Implementation of enterprise-scale systems for corporates was just a start. To add to the fun, Roman initiated the development of the sci.AI platform on a mission to create “Artificial Scientist” that will augment global biomedical research. Roman holds MS in Engineering and BA in Economics degrees. Roman tweets @gurinovich

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