Outside of artificial intelligence, which emerging technologies have had the biggest impact on climate science in the last few years?
I would say that High Performance Computing has transformed climate science by providing scientists with access to powerful computational capabilities. Systems like Edison and Cori at NERSC have been a big boon to the climate science community, enabling them to run a broad range of climate simulations to better understand and quantify sources of uncertainty.
Which emerging technologies do you think will have the biggest impact your field in the future?
It is clear that AI (and in particular Deep Learning) is poised to transform science. Recently, we wrote an article on various case studies at LBNL. We believe that as several domain science areas awaken to the paradigm shift and start applying these techniques, they will find radically better results (compared to hand-tuned heuristics). The article also cautions on a few challenges unique to science: domain scientists are not comfortable with the notion of a black box system, the AI community needs to develop better techniques to interpret the behavior of these networks.
Arguably, one of the better collective achievements of humanity over the past several millennia is the discovery of the fundamental laws of nature. We should try to find a way to constrain the solution space of these networks to subscribe to these laws. That will help in bridging the current, purely-data driven approach for AI/Deep Learning, with concepts which are broadly accepted in science.
Image: Climate simulations by Lawrence Berkeley Lab
|Learn more about the techniques and applications of AI and data analytics at RE•WORK events taking place across the globe in 2017! Locations include Boston, San Francisco, Montreal, Singapore, Amsterdam, London and New York.|
Speakers and attendees will be joining us from DeepMind, Stanford University, Baidu, MIT, Google, DFKI, Facebook, Apple, University of Cambridge, NASA, Amazon Robotics, University of Toronto, Deep Genomics and more, at upcoming events.
View all upcoming RE•WORK events here.
22 November 2017, London
Leading minds in healthcare and machine intelligence will come together for an evening of networking and keynote presentations around tools & techniques set to revolutionise healthcare applications, medicine & diagnostics. Join us for a three course meal to support and showcase women in Healthcare and Machine Intelligence.
23 January 2018, San Francisco
Leading minds in machine intelligence will come together for an evening of networking and keynote presentations. Join us for a three course meal to support women in AI and Machine Intelligence.
25 January 2018, San Francisco
The Deep Learning Summit is the next revolution in artificial intelligence. The increasingly popular branch of machine learning explores advances in methods such as image analysis, speech and pattern recognition, natural language processing, and neural network research. This summit will explore how deep learning algorithms and methods are being applied to solve challenges in industries including healthcare, manufacturing, transport, security and communications.