Digital information storage in DNA
Dr. Paul Bertone,
European Bioinformatics Institute, UK –
The amount of information that humans produce and want to store is increasing exponentially. It is estimated that the total digital information on Earth is of the order of zettabytes (thousands of billions of billions of bytes). The amount of digital information that people want to archive, i.e. store safely, recoverably, for long periods of time with only rare access and with minimal ongoing maintenance requirements, is also growing. However, at present essentially no long-term archiving of digital information is taking place. This is because all current digital storage media require a continual cycle of maintenance to renew both the storage medium and the ‘reading’ and ‘writing’ hardware. This in turn is because there is no conventional computing storage technology that is trusted to survive more than a few years.
Recent genome science-inspired advances in the technologies for reading and writing DNA led us to investigate possibility of using DNA as a digital archive medium. DNA is a stable information carrier, with 10,000-year-old intact sequences routinely recovered from historical samples. Safe DNA storage conditions are easily maintained at low cost, and the ability to read DNA fragments will surely survive for as long as there are technologically-advanced humans inquisitive about the working of living systems. In our proof-of-concept experiment, we showed how existing DNA technologies can be used to store and recover digital information in a manner that could be extrapolated to global data scales, incorporating modern methods such as error correcting codes for data integrity. This talk will describe this experiment, and will speculate on the future of DNA as a digital storage medium.
This talk is a keynote address in the scope of the conferences iPRES-2013/DC-2013 The conferences require registration but this talk will be open to free audience.
PhD Yale University, 2005. At EMBL-EBI since 2005. Joint appointments in Genome Biology and Developmental Biology Units. Associate Investigator, Wellcome Trust – Medical Research Council Stem Cell Institute, University of Cambridge
José Luis Brinquete Borbinha
Mathematics, Physics & Machine Learning Seminar Series (Online)
The Mathematics, Physics & Machine Learning seminar series has started on October 2020 and runs until March 2021.
The seminars aim to bring together mathematicians and physicists interested in machine learning (ML) with ML and AI experts interested in mathematics and physics, with the goal of introducing innovative Mathematics and Physics-inspired techniques in Machine Learning and, reciprocally, applying Machine Learning to problems in Mathematics and Physics.
Attendance is free but registration is required.
More information is available here.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.