There are no people in sigerson’s collective.
Kara Swisher, editor-at-large at Recode, joins "Squawk Alley" via phone to discuss the release of Apple’s new credit card.
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(Timestamps Below) A wide-ranging program for you today with everything from neuromorphic hardware and software research; some impressive FPGA acceleration for Caffe from Samsung AI Research; why the datacenter industry is booming (the answers might surprise you); the state of Lustre and OpenSFS; and where some unique opportunities are in HPC on the health modeling front.
2:30 – Datacenter boom with Rich Miller (Datacenter Frontier) 14:38 – Accelerating Caffe with FPGAs (Samsung Research) 22:28 – Neuromorphic Architecture/Software Trends (Oak Ridge National Lab) 31:30 – A Decade of OpenSFS and Two of Lustre (OpenSFS) 39:25 – HPC Role in Covid-19 Analysis, Modeling (Berkeley)
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Broadly defined as the Internet of Things (IoT), the growth of commodity devices that integrate physical processes with digital systems have changed the way we live, play and work. Yet existing IoT platforms cannot evaluate whether an IoT app or environment is safe, secure, and operates correctly. In this paper, we present \Soteria, a static analysis system for validating whether an IoT app or IoT environment (collection of apps working in concert) adheres to identified safety, security, and functional properties. Soteria operates in three phases; (a) translation of platform-specific IoT source code into an intermediate representation (IR), (b) extracting a state model from the IR, (c) applying model checking to verify desired properties. We evaluate Soteria on 65 SmartThings market apps through 35 properties and find nine (14%) individual apps violate ten (29%) properties. Further, our study of combined app environments uncovered eleven property violations not exhibited in the isolated apps. Lastly, we demonstrate Soteria on MalIoT, a novel open-source test suite containing 17 apps with 20 unique violations.
On March 16, 2020, the Simons Institute closed its doors temporarily in response to the COVID-19 pandemic. All of the Institute’s activities migrated online — research programs, workshops, workshops, collaboration meetings, even daily tea.
In this episode of Simons Institute Polylogues, Director Shafi Goldwasser interviewed a group of program organizers and participants about research resilience under quarantine.
Featuring: Shweta Agrawal (IIT Madras), Zvika Brakerski (Weizmann Institute), Vinod Vaikuntanathan (MIT), Umesh Vazirani (UC Berkeley), Thomas Vidick (Caltech), Hoeteck Wee (ENS Paris and NTT Research), and Henry Yuen (University of Toronto).
© Simons Institute for the Theory of Computing, 2020
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In this episode of Simons Institute Polylogues, Shafi Goldwasser (Director, Simons Institute) interviews Guy Rothblum (Weizmann Institute) about a new research collaboration applying techniques from the field of algorithmic fairness to determine which patients are most likely to develop severe cases of COVID-19.
REFERENCES
“Multicalibration: Calibration for the (Computationally-Identifiable) Masses,” by Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, Guy N. Rothblum [https://arxiv.org/abs/1711.08513]
“Addressing Bias in Prediction Models by Improving Subpopulation Calibration,” Noam Barda, Noa Dagan, Guy N. Rothblum, Gal Yona, Eitan Bachmat, Philip Greenland, Morton Leibowitz, Ran Balicer [under submission]
COVID-19 collaboration [https://www.themarker.com/news/health/1.8708713]:
Clalit Research Institute: Adi Berliner, Amichai Akriv, Anna Kuperberg, Dan Riesel, Daniel Rabina, Galit Shaham, Ilan Gofer, Mark Katz, Michael Leschinski, Noa Dagan, Noam Barda, Oren Auster, Reut Ohana, Shay Ben-Shachar, Shay Perchik Uriah Finkel, Yossi Levi.
Technion: Daniel Greenfeld, Uri Shalit, Jonathan Somer
Weizmann Institute: Guy Rothblum, Gal Yona
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The World Health Organization has said that the best way to tackle this virus is to test, test, test. This is a call to action for pioneering biochemist Dr. Jennifer Doudna and her colleagues at UC Berkeley. They aim to use their biology labs to test up to 2,000 samples per day. Dr. Doudna co-invented the gene editing tool CRISPR, which she hopes will assist her in the battle against COVID-19. She joins Walter Isaacson to discuss.
Originally aired on March 30, 2020.
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Amanpour and Company features wide-ranging, in-depth conversations with global thought leaders and cultural influencers on the issues and trends impacting the world each day, from politics, business and technology to arts, science and sports. Christiane Amanpour leads the conversation on global and domestic news from London wit…
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Our bodies are covered in a sea of microbes — both the pathogens that make us sick and the "good" microbes, about which we know less, that might be keeping us healthy. At TEDMED, microbiologist Jonathan Eisen shares what we know, including some surprising ways to put those good microbes to work.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED
Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
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Geneticist Jennifer Doudna co-invented a groundbreaking new technology for editing genes, called CRISPR-Cas9. The tool allows scientists to make precise edits to DNA strands, which could lead to treatments for genetic diseases … but could also be used to create so-called "designer babies." Doudna reviews how CRISPR-Cas9 works — and asks the scientific community to pause and discuss the ethics of this new tool.
TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate
Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED
Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
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In 2019, eLife appointed UC Berkeley geneticist Mike Eisen as the new Editor-in-Chief. His role is to drive the on-going development of eLife and steer the journal through the evolving landscape of science publishing. Ever since his institutional library thwarted his efforts, over 20 years ago, to download papers for his research project, Eisen has been a powerful proponent of
https://www.thenakedscientists.com/podcasts/elife-podcast/meet-mike-eisen
Tagged with elife mike eisen open access science publishing science journals
Today we’re joined by Blaise Aguera y Arcas, a distinguished scientist at Google. We had the pleasure of catching up with Blaise at NeurIPS last month, where he was invited to speak on “Social Intelligence.” In our conversation, we discuss:
Blaise’s role at Google, where he leads the Cerebra team. Their approach to machine learning at the company, and how they differ from the more forward-facing Google Brain team. Blaise gives us a look into his presentation, discussing today’s ML landscape. The gap between AI and ML/DS research, what it means and why it exists. The difference between intelligent systems and what we would deem to be “actual intelligence.” What does optimizing truly mean when training models? Check out the complete show notes for this episode at twimlai.com/talk/340.
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