How AI Helped Revolutionize Protein Discovery
Stephen Ibaraki of ITU on AI's Application in Large-Scale Humanitarian Challenges
A few years ago, only about 200,000 proteins had been discovered over the last six to seven decades, and the process of discovering proteins from amino acids took several years. Today, the transformative nature of AI - along with the computing power available - has helped scientists discover more than 200 million proteins. AI can achieve in days what legacy technology would have achieved in decades.
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In addition, the innovation accelerator of the World Food Program - one of the largest agencies of the United Nations - is applying AI to a range of use cases including the study of weather patterns, crop sciences, disease analysis, food supply chains and checking food waste. AI has the potential to even facilitate interspecies communication and improve human understanding at a fairly large scale.
Without interdisciplinary collaboration and the development of ethical guidelines and frameworks, most AI use cases will remain theoretical. Additionally, balancing regulation with innovation is necessary to prevent stifling the benefits of AI, said Stephen Ibaraki, chairman of REDDS Capital, and founder of AI for Good at International Telecommunication Union (ITU).
In this video interview with ISMG, Ibaraki also discussed:
- How advances in AI can help solve computationally intractable problems;
- Applications of AI in longevity research;
- Creating a fine balance between regulation and innovation.
Ibaraki is an educator, researcher, speaker, writer, serial entrepreneur, venture capitalist, investor and executive board chairman in the IT industry.
