This year I’m chairing the Computational Imaging session at the SPIE Defense + Commercial Sensing, in Orlando, Fla., April 16-19, 2018, together with Aamod Shanker. We have invited a lot of amazing speakers and we are organizing a panel discussion on the trends in computational imaging.Here’s the program:SESSION 6 TUE APRIL 17, 2018 – 11:10 AM TO 12:00 PM
Self-reference is cornerstone in Hofstadter’s Godel-Escher-Bach, a must read book for anyone interested in logic (and we shall rely logic in these days to stay sane.)Here’s a bunch of examples of self-reference that I found interesting, curated just for you!Barber’s paradox:
The barber is the “one who shaves all those, and those only, who do not shave themselves.” The question is, does the barber shave himself?
Self-referential figure (via xkcd):Tupper’s formula that prints itself on a screen (via Brett Richardson) Continue reading
In the past four years, there’s been a lot of progress in the field of machine learning, and here’s a story seen from the outskirts.Eight years ago, for a mock start-up project, we tried to do some basic headtracking. At that time, my professor Stéphane Mallat told us that the most efficient way to do this was the Viola-Jones algorithm, which was still based on hard-coded features (integral images and Haar features) and a hard classifier (adaboost.)
By then, the most advanced book on machine learning was “Information Theory, Inference, and Learning” by David McKay, a terrific book to read, and also “Pattern Recognition and Machine Learning” by Chris Bishop (which I never read past chapter 3, lack of time.)Oh boy, how things have changed! Continue reading
It now seems that the language is gaining traction, with many available packages, lots of REPL integration (it works with Atom+Hydrogen, and I suspect Jupyter gets its first initial from Julia and Python) and delivering on performances.Julia is now used on supercomputers, such as Berkeley Lab’s NERSC, taught at MIT (by no less than Steven G Johnson, the guy who brought us FFTW and MEEP!), and I’ve noticed that some of the researchers from Harvard’s RoLi Lab I’ve invited to SPIE DCS 2018 are sharing their Julia code from their paper “Pan-neuronal calcium imaging with cellular resolution in freely swimming zebrafish“. Pretty cool!
I got a chance to attend parts of Julia Con 2017 in Berkeley. I was amazed by how dynamic was the the community, in part supported by Moore’s foundation (Carly Strasser, now head of Coko Foundation), and happy to see Chris Holdgraf (my former editor at the Science Review) thriving at the Berkeley Institute for Data Science (BIDS).
I started sharing some code for basic image processing (JLo) on Github. Tell me what you think!(by the way, I finally shared my meep scripts on github, and it’s here!)
“Astronomers and physicists have been sharing pre-prints since before the web existed,” says Alberto Pepe, founder of the authoring and pre-printing platform Authorea. “Pre-prints are an effective (and fully legal) way to make open access a reality in all scholarly fields.” Within hours, articles are available online, and scientists can interact with the author, leaving comments and feedback. Importantly, submission, storage, and access are all free. The pre-printing model ensures that an author’s work is visible and properly indexed by a number of tools, such as Google Scholar.
Here’s a list of resources that I’ve compiled from the talk by Laurence Bianchini from MyScienceWork when I invited at LBL, and a piece written by Nils Zimmerman on Open Access at LBNL: Open Access publishing at Berkeley Lab.
Yesterday, I’ve organized my last event with the Berkeley Postdoc Entrepreneurial Program (bpep.berkeley.edu), an association dedicated to helping young researchers turning their science into companies that can benefit the economy directly. I served for about two years as the liaison for Berkeley Lab, and helped organize over a dozen events, directly responsible for four of them (on government funding, intellectual property, the art of pitch, and lastly a job fair.)
Dear reader,I haven’t been very communicative lately, for I was kept busy by a very cool new venture : the birth of the Berkeley Lab Postdoc Association. The new association is meant to bring together over a thousand postdocs at Berkeley Lab, and provide them with support, career advice and bring feedback to the lab management about issues encountered by postdocs.Now that the association is alive and well (see the blog), I can tell a little about its story. Continue reading
The internet may still be less than 10,000-days old, it still fails to deliver for scientists.By empowering institutions to efficiently track down the number of publications, pushing even further the drive to publish many half-baked ideas and follow the hype instead of long-term research. It is true that it had never been as simple to get access to a paper and makes life easier on many aspects– collaboration often just requires sending an email, but new hurdles have appeared, and these should be removed.Here is a bunch of ideas on how to use the new digital tools we have at hand to make research easier and thus more efficient, and a limited overview of what we have now. Continue reading
Here’s a bunch of resource where you can find cool seminars by some hardcore scientists (I mean not the kind of pseudo-scientific, inspirational talks that you’ll find over the web).
Les Ernest – L’ENS offre un grand nombre video (15 min) sur toute sorte de sujets, par les plus grands experts du domaine.Seminaire General du departement de Physique de l’Ecole Polytechnique – traitement nettement plus poussé (1h) sur un sujet particulier de la physique.Enjoy !