Forbes: “Berkeley Research Lab Group Mints Second Billion-Dollar Business In Startup Anyscale”

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Anyscale cofounders Robert Nishihara, Ion Stoica, and Philipp Moritz Anyscale is making news with their latest round of funding, featured in articles this week in Forbes: “Berkeley Research Lab Group Mints Second Billion-Dollar Business In Startup Anyscale” and TechCrunch: “Anyscale adds $40M to bring its Ray-based distributed computing tech to the enterprise masses.” Founded by RISELab co-director Ion Stoica and RISELab Ph.D. graduates Robert Nishihara and Philipp Moritz, Anyscale uses the Ray tools developed in RISELab to allow individual users to take full advantage of distributed computing to scale AI applications in the cloud.

“RAMP-TAO: Layering Atomic Transactions on Facebook’s Online TAO Data Store” Wins Best Industry Paper Award at VLDB 2021

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Congratulations to RISELab’s Audrey Cheng, Natacha Crooks, Ion Stoica, Peter Bailis and their Facebook collaborators! “RAMP-TAO: Layering Atomic Transactions on Facebook’s Online TAO Data Store“, won Best Industry Paper Award at VLDB 2021. More about VLDB: VLDB 2021 – 47th International Conference on Very Large Data Bases The VLDB 2021 conference, will take place in Copenhagen, Denmark, 16-20 August 2021, and will feature research talks, tutorials, demonstrations, and workshops. It will cover issues in data management, database and information systems research. VLDB is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users. VLDB 2021 – Conference Awards Best Paper, Best Demo, and Distinguished Reviewers.

EPIC Lab receives $2M NSF grant to build tools for criminal justice big datasets

Ivan Ortega News, Uncategorized 0 Comments

Originally posted on EECS NEWS: Submitted by Magdalene L. Crowley on September 7, 2021 – 1:55pm EPIC Lab receives $2M NSF grant to build tools for criminal justice big datasets CS Prof. Joseph Hellerstein, and Assistant Profs. Aditya Parmeswaran and Sarah Chasins, are among the principal investigators of a new lab that has just received a $2M grant from the National Science Foundation to make big datasets used by the criminal justice system more accessible to non-technical researchers. The Effective Programming, Interaction, and Computation with Data (EPIC) Lab will create tools that utilize machine learning, program synthesis, and human-centered design, to improve the ability of public defenders, investigators and paralegals to research police misconduct, judicial decision-making, and related issues, for their…

RISE postdoc Hao Zhang wins Jay Lepreau Best Paper Award at OSDI ’21 for: “Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning”

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Congrats Hao! RISE lab postdoc Hao Zhang–working with Prof. Ion Stoica–has won the Jay Lepreau Best Paper Award at OSDI ’21 for the paper: “Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning”. This paper develops a new measure of goodness for designing and implementing resource scheduling systems for deep learning, namely Goodput, which combines statistical efficiency and system throughput for deep learning. It demonstrates a new system for optimizing Elastic Deep Learning in GPU Clusters. The system will be integrated with Ray ecosystem soon. More details about the paper and code can be found here: Presentation: Paper: Code: Integration with Ray:

Sam Kumar wins OSDI Jay Lepreau Best Paper Award

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Congratulations Sam! Originally posted on EECS NEWS: Submitted by Magdalene L. Crowley on July 19, 2021 – 11:52am Sam Kumar wins OSDI Jay Lepreau Best Paper Award CS graduate student Sam Kumar (advisors: David Culler and Raluca Ada Popa) has won the Jay Lepreau Best Paper Award at the 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI) for “MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation.”   The OSDI, which brings together “professionals from academic and industrial backgrounds in a premier forum for discussing the design, implementation, and implications of systems software,” selects three best papers each year after a double-blind review.  Co-authored by Prof. David Culler and Associate Prof. Raluca Ada Popa, the paper introduces an execution engine for secure computation…

The inside story of how UC Berkeley became the incubator for red-hot enterprise startups Databricks, SiFive, and Anyscale

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Business Insider reports on how RISELab’s unique research model has sparked a generation of successful startups, featuring interviews with RISELab directors Raluca Ada Popa, Ion Stoica, and other RISE, AMP and RADLab alumni. “It is the combination of the talent in the labs, and the format, and the track record of the labs that keeps on continuing,” said Raluca Ada Popa. Read more on Business Insider. (Or here without ads)

Ray Summit 2021

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Ray Summit was a huge success this year, with seventy one individual speakers presenting over three days to an audience of more than twelve thousand attendees. Visit the Ray Summit website to view the talks.

Double congratulations to Mike Jordan!

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A couple of announcements regarding Prof. Mike Jordan came in today: 1) Mike joins only a handful of distinguished Berkeley faculty members who have been elected as a Foreign Member of the Royal Society: 2) He has also been selected to join the 2021 Class of Vannevar Bush Faculty Fellows. The Vannevar Bush Faculty Fellowship (VBFF) is the US Department of Defense’s most prestigious single-investigator award and supports basic research with the potential for transformative impact. Another amazing week for Prof. Jordan!

Alvin Cheung awarded the 2020 Intel Outstanding Researcher Award

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Congratulations Alvin! Originally posted on EECS News and EECS Assistant Profs. Alvin Cheung and Jonathan Ragan-Kelley are among 18 winners of Intel’s 2020 Outstanding Research Awards (ORA). These awards recognize exceptional contributions made through Intel university-sponsored research.  Cheung and Ragan-Kelley are developing ARION, a system for compiling programs onto heterogeneous platforms. The team will use verified lifting, which rewrites legacy code into a clean specification, stripping away optimizations that target legacy architectures. This spec, written in a DSL, can then be compiled to new platforms, sometimes with orders of magnitude of speedup in resulting code performance. Intel’s 2020 Outstanding Researcher Awards Recognize 18 Academic Researchers

David Patterson wins Frontiers of Knowledge Award

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Congratulations Dave! Reposted from EECS News: CS Prof. Emeritus David Patterson has won the 13th BBVA Foundation Frontiers of Knowledge Award in Information and Communication Technologies.  He shares the award with John Hennessy of Stanford University “for taking computer architecture, the discipline behind the central processor or ‘brain’ of every computer system, and launching it as a new scientific area.”  The citation says that Patterson and Hennessy “are synonymous with the inception and formalization of this field.  Before their work, the design of computers – and in particular the measurement of computer performance – was more of an art than a science, and practitioners lacked a set of repeatable principles to conceptualize and evaluate computer designs. Patterson and Hennessy provided, for…

RSVP for the RISELab Poster Session / BEARS Symposium – Thursday February 11, 2021

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We are pleased to announce that RISELab will hold a virtual poster session as part of the BEARS 2021 Research Symposium on February 11, 2021 from 1:00-2:30pm PST. This virtual event will highlight the exciting projects that RISELab’s researchers have been working on in recent months. You will have the opportunity to view posters and interact virtually with the graduate and undergraduate poster presenters, RISELab faculty, and other event guests. Remember, you must RSVP separately for both events: Register for BEARS here. (Select UCB Student, Employee or Industrial Affiliate for complimentary registration.) RSVP for the RISELab poster session here. A RISELab Poster Session event link will be emailed to everyone on our RSVP list on the day of the event. Please RSVP by February 10. Questions? Email us…

Read + Watch: “New Directions in Cloud Programming” from CIDR 2021

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RISELab researchers Alvin Cheung, Natacha Crooks, Joseph M. Hellerstein, Matthew Milano presented “New Directions in Cloud Programming” at CIDR 2021. Read the paper here. Watch the talk on youtube. ABSTRACT Nearly twenty years after the launch of AWS, it remains difficult for most developers to harness the enormous potential of the cloud. In this paper we lay out an agenda for a new generation of cloud programming research aimed at bringing research ideas to programmers in an evolutionary fashion. Key to our approach is a separation of distributed programs into a PACT of four facets: Program semantics, Availablity, Consistency and Targets of optimization. We propose to migrate developers gradually to PACT programming by lifting familiar code into our more declarative level of…

“Neural-Backed Decision Trees” Accepted to ICLR 2021

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Want to improve accuracy, interpretability, and generalization for your production models? Check out “Neural-Backed Decision Trees” from Professor Joseph E. Gonzalez’s group — including Alvin Wan, Lisa Dunlap, Suzie Petryk, and others — just accepted to ICLR 2021 and just one pip install away. See the brief 3-minute introduction: or the updated technical talk with new results and 4 additional human studies:

Best paper award at NeurIPS 2020

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RISELab faculty Prof. Michael Mahoney and his postdocs Michal Derezinski and Rajiv Khanna are recipients of NeurIPS 2020 Best Paper Award for their paper “Improved Guarantees and a Multiple-Descent Curve for Column Subset Selection and the Nyström Method“. To quote the selection committee: “(…) this paper is expected to have substantial impact and give new insight into (…) kernel methods, feature selection, and the double-descent behavior of neural networks.” Congratulations to Michael, Michal and Rajiv!

Michael Jordan wins 2021 AMS Ulf Grenander Prize

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Prof. Michael I. Jordan, one of RISELab affiliated faculty, has been awarded the 2021 American Mathematical Society (AMS) Ulf Grenander Prize in Stochastic Theory and Modeling. The prize, which was established in 2016, recognizes “exceptional theoretical and applied contributions in stochastic theory and modeling.” It is awarded for “seminal work, theoretical or applied, in the areas of probabilistic modeling, statistical inference, or related computational algorithms, especially for the analysis of complex or high-dimensional systems.” Jordan, who has a split appointment in Statistics, was cited for “foundational contributions to machine learning, especially unsupervised learning, probabilistic computation, and core theory for balancing statistical fidelity with computation.” The prize is awarded every three years, making Jordan the second recipient of the honor.

SEC 2020 Best Paper Award!

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Congratulations to Samvit Jain and Prof. Joey Gonzalez of RISELab for winning the Best Paper award at The Fifth ACM/IEEE Symposium on Edge Computing for the collaborative paper “Spatula: Efficient Cross-Camera Video Analytics on Large Camera Networks”!

Natacha Crooks wins 2020 ACM SIGOPS Dennis M. Ritchie dissertation award

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Originally posted on UC Berkeley EECS News   Natacha Crooks wins 2020 ACM SIGOPS Dennis M. Ritchie dissertation award CS Assistant Prof. Natacha Crooks has won the 2020 ACM Special Interest Group on Operating Systems (SIGOPS) Dennis M. Ritchie dissertation award for her thesis titled “A Client-Centric Approach to Transactional Datastores.”  The award, which recognizes creative research in software systems, was bestowed upon a dissertation which a colleague described as “a landmark, with deep and beautiful results in transactions and distributed consistency, and systems that exploit them.”  The award committee commented that “Natacha Crooks’ thesis achieves something rare: a new conceptual framework for client-centric consistency and two efficient systems built on those insights. The document for this attractive package is…

Ray Summit happening this Wednesday, September 30th through Thursday, October 1st

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Inaugural Ray Summit is happening this Wednesday, September 30th through Thursday, October 1st. With thousands of the global Ray community from over 100 countries planning to attend, it’s an important milestone for the Ray project that started at U.C. Berkeley’s RISELab nearly four years ago. If you haven’t registered yet, please register here (it’s free!) to get access to the livestream and all session videos. You will hear exciting announcements about the latest features in Ray, new integrations with popular libraries, real-world use cases, and the latest research in AI, scalable systems, and security. Looking forward to seeing you all at the summit! 

RISELab Best Paper Awards

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RISELab researchers were recognized with best paper awards at recent SIGMOD, VLDB and ICDE conferences. 2019 ACM SIGMOD Research Highlight Award “Interactive Checks for Coordination Avoidance”, VLDB 2019 — Michael J. Whittaker and Joseph M. Hellerstein VLDB 2019 selected best papers “Interactive Checks for Coordination Avoidance” — Michael J. Whittaker and Joseph M. Hellerstein “Autoscaling Tiered Cloud Storage in Anna.” — Chenggang Wu, Vikram Sreekanti, Joseph M. Hellerstein ICDE 2018 selected best papers “Anna: A KVS For Any Scale.” — Chenggang Wu, Jose M. Faleiro, Yihan Lin, Joseph M. Hellerstein. Congratulations to RISELab’s Jose Faleiro, Joe Hellerstein, Vikram Srikanti, Michael Whittaker, and Chenggang Wu in recognition of their groundbreaking research!

Please join the first Ray Summit Connect

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Hello, Anyscale will be hosting a complimentary new online speaker series, Ray Summit Connect, throughout the Summer. Join these events to learn more about the future of Ray. The first hour-long event in the series kicks off May 13th. During this event, Prof. Michael Jordan and I will provide our perspectives on the state and future of AI and computing. Please check out to register and see other future events coming over the coming months. If you are interested, please register above. Also, please feel free to forward this email to your colleagues. We look forward to having you join this event! Best, Ion

Prof. Aditya Parameswaran awarded Sloan Research Fellowship

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Prof. Aditya Parameswaran, RISELab faculty, is one of the nine Sloan Research Fellowship recipients from UC Berkeley, in recognition of his work on building tools to enable people unfamiliar with programming to understand large datasets. You can read related articles here and here. Full list of recipients on Sloan Foundation’s website.

RISELab Open House and Poster Session 2/13/20

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This year’s BEARS Symposium will be held on Thursday 2/13/20 at the International House in Berkeley from 9am-5pm. Concurrently, RISELab will host an Open House and Poster session from 1pm-3pm in the lab. Please join us for some engaging discussions over light snacks and refreshments. RISELab is located in 465 Soda Hall, on the corner of Hearst and LeRoy Avenues in Berkeley. See you there!

Two RISE Startups make list of “47 Enterprise Startups to Bet Your Career On in 2020”

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DataBricks and Anyscale made Business Insider’s list of “47 enterprise startups to bet your career on in 2020.” View the list on reddit if you don’t have a Business Insider account. Anyscale is the latest startup to come out of RISELab. A note from Anyscale co-founder and RISELab director Ion Stoica: Anyscale is the future of distributed computing. Founded by the creators of Ray, an open source project from the UC Berkeley RISELab, Anyscale enables developers of all skill levels to easily build applications that run at any scale, from a laptop to a data center. Anyscale empowers organizations to bring AI applications to production faster, reduce development costs, and eliminate the need for in-house expertise to deploy and manage…

Professor Michael Jordan wins 2020 IEEE John von Neumann Medal

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CS Prof. Michael I. Jordan has won the prestigious John von Neumann Medal from the Institute of Electrical and Electronics Engineers (IEEE). The award was established in 1990 to acknowledge “outstanding achievements in computer-related science and technology.” Jordan, who was ranked as the world’s most influential computer scientist in 2016 by Science magazine, was cited for “For contributions to machine learning and data science.” Jordan began developing recurrent neural networks as a cognitive model in the 1980s, was prominent in the formalisation of variational methods for approximate inference, and popularised both the expectation-maximization algorithm and Bayesian networks among the machine learning community. Jordan is the fifth Berkeley CS faculty member to win this award. Congratulations to Professor Jordan!

RISE Camp 2019 photos!

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Photos from the awesome RISE Camp 2019 have been posted to our Facebook page. (If you haven’t been aware of its existence, now is your chance to click “Like” and start getting all the latest RISELab news in your feed!)

RISE Camp 2019 – Live stream on YouTube

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RISE Camp will be live streamed on YouTube later this week! Introductions begin at 8:45 AM on Thursday October 17, 2019. Use the following link to view. Find the agenda for both days here on the RISE Camp website. If you are interested in attending in-person, General Registration spots are available for a $600 registration fee. Please use the following link to register: Members of the UC Berkeley research community are encouraged to email to inquire about complimentary spots. Best regards, The RISE Camp Team

The O’Reilly Data Show Podcast: Michael Mahoney on developing a practical theory for deep learning

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Prof. Michael Mahoney, one of RISELab’s faculty members, was interviewed on O’Reilly Data Show Podcast.   Topics included understanding deep neural networks and developing a practical theory for deep learning, the new Hessian AWare Quantization (HAWQ) framework for addressing problems pertaining to model size and inference speed/power, and how these relate to challenges at the foundations of data analysis.

Prof. Raluca Popa recepient of Bakar Faculty Fellowship Spark Fund Award

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Prof. Popa, one of RISELab’s core faculty members, has been selected for the Bakar Fellows Program, which supports faculty working to apply scientific discoveries to real-world issues in the fields of engineering, computer science, chemistry, and biological and physical sciences. With her Bakar Fellows Spark Award, Prof. Popa will design and build a data encryption platform that will enable collaborative machine learning studies by performing these multi-party computations under encryption.

Professor Parameswaran receives VLDB Early Career Award

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Congratulations to RISELab’s newest faculty member Aditya Parameswaran  for winning this year’s VLDB Early Career Award. The award recognizes a researcher who has demonstrated research impact through a specific technical contribution of high significance since completing their Ph.D.   More information can be found here: Congrats Aditya!    

RadLab students and faculty win “Test of Time” award for the “Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning” paper

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Students and faculty of RadLab, one of the predecessors of the RISElab, just won a “Test of Time” award  for the most influential paper of the 40 presented at the original conference in 2009 . It combined systems and machine learning fields, setting a precedent for a popular combination today. You can read the official announcement here.

“A Swiss Army Infinitesimal Jackknife” paper wins “Notable Paper Award” at the 2019 Artificial Intelligence and Statistics (AISTATS) conference

Kattt Atchley News, Statistical Theory, Theoretical ML 0 Comments

The following paper from the RISELab has won the “Notable Paper Award” at the 2019 Artificial Intelligence and Statistics (AISTATS) conference: A Swiss Army Infinitesimal Jackknife; Giordano, R., Stephenson, W., Liu, R., Jordan, M. I. & Broderick, T.  (2019); In K. Chaudhuri and M. Sugiyama (Eds.), Proceedings of the Twenty-Second Conference on Artificial Intelligence and Statistics (AISTATS), Okinawa, Japan.

New DARE Website Launched

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We are excited to announce the launch of RISELab’s DARE program. One of the most challenging barriers to participating in research for undergraduate students is reaching out to professors and finding a match that works for both the student and the professor.  DARE, founded by Professor Raluca Ada Popa and her students Wenting Zheng and Jessica Ji, acts as an active liaison to remove this barrier and make electrical engineering and computer science research more readily accessible, as well as to encourage diversity of thought in these growing fields. DARE strongly encourages women and traditionally under-represented groups to apply. Website: Raluca Ada Popa

ACM SenSys ’18 Best Paper Runner-up Award: System Architecture Directions for Post-SoC/32-bit Networked Sensors

Hyung-Sin Kim News 0 Comments

RISELab publication “System Architecture Directions for Post-SoC/32-bit Networked Sensors,” authored by Hyung-Sin Kim, Michael Andersen, Kaifei Chen, Sam Kumar, William Zhao, Kevin Ma, and Prof. David Culler, has won the best paper runner-up award at ACM SenSys 2018. This paper triggers paradigm shifts on low-power embedded networked system design, which was formed by a two-decade old paper from UC Berkeley.

Prof. Culler receives ACM SenSys Test of Time Award 2018!

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Prof. David Culler, one our affiliated faculty, has received ACM SenSys Test of Time Award 2018 for his paper “IP is Dead, Long Live IP for Wireless Sensor Networks,” published in ACM SenSys 2008. The Test of Time Award is to recognize papers that are at least 10 years old and have had long lasting impact on networked embedded sensing system science and engineering. Congratulations to Prof. Culler!

RISE Camp 2018 Photos!

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Lost of great photos from last week’s RISE Camp can be found here! And if you haven’t already, please make sure you “like” our Facebook page, for all the latest RISELab  news.

AP releases “bombshell” report on Google’s location history prompted by RISELab blog post

K. Shankari News, Uncategorized 0 Comments

Back in May 2018, K. Shankari posted a blog post on the blurry boundaries associated with Google location tracking and the interesting questions that they raised around consent, control and competition. An AP reporter, Ryan Nakashima, saw the blog posts, and contacted her for more details. While he was not able to reproduce the behavior that she had observed, he was able to work with Jonathan Mayer‘s group at Princeton to find similarly unclear and confusing privacy policies related to location history. The resulting story and step-by-step guide was posted on Monday, Aug 13, and had a large impact. In the technical press, it was picked up by at least Wired, CNET, TechCrunch, Gizmodo and Slashdot. Ryan, Jonathan and Shankari…

Notes from the first Ray meetup

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The Ray team is starting a series of meetups, the first of which was held at OpenAI (in San Francisco) on August 2, 2018, with over 50 people in attendance! Here is a great summary of what was presented, written by Ben Lorica of O’Reilly Media:

RISELab publication wins best paper award at SIGMOD GRADES-NDA 2018

Anand Padmanabha Iyer News 0 Comments

RISELab publication “Bridging the GAP: Towards Approximate Graph Analytics“, authored by Anand Iyer, Aurojit Panda, Shivaram Venkataraman, Mosharaf Chowdhury, Prof. Aditya Akella, Prof. Scott Shenker and Prof. Ion Stoica, has won the best paper award at ACM GRADES-NDA 2018, co-located with SIGMOD. The paper proposes the use of approximation to speed up distributed graph processing.

MLPerf: SPEC for ML

David Patterson Deep Learning, News, Open Source, Optimization, Reinforcement Learning, Systems, Uncategorized 0 Comments

The RISE Lab at UC Berkeley today joins Baidu, Google, Harvard University, and Stanford University to announce a new benchmark suite for machine learning called MLPerf at the O’Reilly AI conference in New York City (see The MLPerf effort aims to build a common set of benchmarks that enables the machine learning (ML) field to measure system performance eventually for both training and inference from mobile devices to cloud services. We believe that a widely accepted benchmark suite will benefit the entire community, including researchers, developers, builders of machine learning frameworks, cloud service providers, hardware manufacturers, application providers, and end users. Historical Inspiration. We are motivated in part by the System Performance Evaluation Cooperative (SPEC) benchmark for general-purpose computing that drove rapid,…

Prof. David Patterson, one of the founders of RISELab, has been awarded the Turing Award!

Jon Kuroda News 0 Comments

We are proud to announce that Professor David Patterson, one of the RISELab founders, is a recipient of the 2017 ACM A.M. Turing Award, the annual prize given by the Association for Computing Machinery (ACM) to “an individual selected for contributions of a technical nature made to the computing community,” and often referred to as the “Nobel Prize of Computing”. He shares the award with John L. Hennessy, former President of Stanford University, for their invention of the RISC processor. For more details, please read the official ACM announcement. Congratulations to Prof. Patterson on joining the highest ranks of computer science luminaries!

Michael Jordan named as Plenary Lecturer at the 2018 International Congress of Mathematicians (ICM) in Rio de Janeiro!

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EECS faculty continues to make big news in the outside world! Michael Jordan, the Pehong Chen Distinguished Professor in EECS and the Department of Statistics, has been named a Plenary Lecturer at the 2018 International Congress of Mathematicians (ICM) in Rio de Janeiro this August. This is an honor that has been bestowed upon a very small handful of computer scientists over the 100-year history of the ICM. (For the uninitiated, a plenary lecturer is one who gives his or her talk to all attendees of a conference at once. It’s a pretty huge deal.) Here is the list of plenary speakers at the ICM 2018 Conference. The title of Prof. Jordan’s speech will be “Dynamical, Symplectic and Stochastic Perspectives on Gradient-Based Optimization”…

NSF Expeditions Proposal Awarded to RISELab!

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The UC Berkeley RISELab has been awarded the prestigious NSF Expedition Award by the National Science Foundation (NSF).  The expedition award, which provides $10 million in funding over five years, is awarded to only three labs in the country. This funding will enable the RISELab to make fundamental advances in the theory and design of real-time, intelligent, secure, and explainable systems.  This research has the potential to transform the next generation of systems that interact with the real-world, including autonomous vehicles, medical robots, privacy-preserving information exchanges, fraud detection systems, and the power grid. Read the full NSF press release and Berkeley press release for more details.

Pictures from RISE Winter 2018 retreat!

Kattt Atchley News

Our biggest retreat so far (182 registered attendees!) happened January 10 – 12, 2018, at Monterey Tides hotel. We had lots of productive interactions (presentations, meeting, poster sessions), but also managed to have some fun kayaking at the Elkhorn Slough! You can see the photos on our Facebook page.

Incubator launches AI-focused accelerator to help startups out of UC Berkeley, RISELab faculty involved

Kattt Atchley News

Berkeley-based startup incubator and venture capital fund The House is launching an AI-specific initiative backed by Google that is meant to take advantage of the technical and academic expertise in the field coming out of UC Berkeley. The faculty involved in the program include Databricks co-founder and UC Berkeley professor Ion Stoica, Berkeley Artificial Intelligence Research lab co-director Trevor Darrell and UC Berkeley professor Michael Jordan, one of the most influential computer scientists working in AI. You can read the whole article here.

November 2017 Newsletter Published!


The third installment of the RISELab newsletter went out on November 15. You can read all about what’s been going on here. If you would like to be added to our mailing list, simply fill out this form. Happy reading!

RISELab to cooperate with Alibaba DAMO Academy

Kattt Atchley News

Alibaba Group launched a massive global research program, “Alibaba DAMO Academy”, by committing $15B in funding. The Academy aims to increase technological collaboration worldwide, advance the development of cutting-edge technology, and strive to make the world more inclusive by narrowing the technology gap. The Academy will cooperate with the University of California, Berkeley through its RISE Lab on areas such as secured real-time computing. For more information, please read this article.

Prof. Popa gave a keynote talk at the GE Industrial Machine Learning Workshop 2017

Kattt Atchley News

RISELab’s Raluca Ada Popa gave a keynote talk on security for machine learning systems at the GE Industrial Machine Learning Workshop 2017. Her talk discussed security threats in deploying machine learning systems as well as three promising approaches to address some of these: secure multi-party computation, differential privacy and hardware enclaves.

RISELab and UC Berkeley’s new Foundations of Data Analysis (FODA) Institute

Michael Mahoney News

We are pleased to announce the involvement of RISELab faculty with the new Foundations of Data Analysis (FODA) Institute. The FODA Institute is funded as part of the NSF TRIPODS program, and it is designed to bring together core research communities in theoretical statistics, applied mathematics, and theoretical computer science to address foundational questions at the heart of data science. In addition to RISELab faculty Michael Mahoney and Mike Jordan, also involved with this FODA/TRIPODS effort are statistics faculty Bin Yu and Fernando Perez and EECS/Simons faculty Dick Karp. We look forward to the fruitful interactions between theory, implementations, and real-time applications.   For more details, here is the link to the press release:

RISELab faculty publishes paper on how to build more secure, faster AI systems

Kattt Atchley News

The RISELab faculty—who cover the fields of machine learning, systems, security, and hardware—have just published a vision paper on systems challenges for AI. They argue that future AI systems must make timely and safe decisions in unpredictable environments, be robust against sophisticated adversaries, and process ever increasing amounts of data across organizations and individuals without compromising confidentiality. These challenges will be exacerbated by the end of the Moore’s Law, which will constrain the amount of data these technologies can store and process. They propose several open research directions in systems, computer architecture, and security that can address these challenges and help unlock AI’s potential to improve lives and society. Link to the press release:

ActiveClean featured in “the morning paper”

Ion Stoica News

ActiveClean has been featured in today’s “the morning paper“. The ActiveClean project aims to develop tools and algorithms to address one of the key steps in model training pipelines: handle dirty or inconsistent data including extracting structure, imputing missing values, and handling incorrect data.

PyWren wins Best Vision Paper Award at SOCC’17

Ion Stoica News

PyWren won the Best Vision paper Award at SOCC’17. PyWren is a new paralle computation engine that drmatically lowers the barrier for scientists to use public cloud for massively parallel worklods, by obviating the need for complex cluster management. This is a joint work between RISELab and Berkeley Center for Computational Imaging.

Second RISELab Newsletter!

Kattt Atchley News

In case you missed it (it went out on August 1, 2017), you can still read a web copy here. If you’d like to be added to our mailing list, please fill out this form.

Announcing Ground v0.1

Vikram Sreekanti blog, Ground, News, Open Source, Projects, Systems

We’re excited to be releasing v0.1 of the Ground project! Ground is a data context service. It is a central repository for all the information surrounding the use of data in an organization. Ground concerns itself with what data an organization has, where that data is, who (both human beings and software systems) is touching that data, and how that data is being modified and described. Above all, Ground aims to be an open-source, vendor neutral system that provides users an unopinionated metamodel and set of APIs that allow them to think about and interact with data context generated in their organization. Ground has many use cases, but we’re focused on two specific ones at present: Data Inventory: large organizations…

RISELab and the 5G Innovators Initiative (5GI2)

Randy Katz News, Uncategorized

5G, also known as Fifth Generation Mobile Networks, is an emerging global telecommunication system designed for the next generation of significantly higher wireless data bandwidths to support a variety of consumer, commercial, and industrial applications. On promise are data rates of 10-100 mbps for tens of thousands of simultaneous users in the metropolitan area, with 1 gbps indoors and connectivity for hundreds of thousands of simultaneously connected sensors. As important as these enhanced bandwidths will be the software extensibility and configurability of the 5G network, making it possible to partition and customize network bandwidth and services for a variety of site- and area-specific applications to support diverse devices at the network edge. RISELab and our industrial sponsors Ericsson, Intel, and…

Shivaram Venkataraman has won the 2016-2017 “Demetri Angelakos Memorial” Achievement Award

Ion Stoica News

Shivaram Venkataraman has received the 2016-2017 “Demetri Angelakos Memorial” Achievement Award  who recognizes students that “in addition to conducting research, unselfishly take the time to help colleagues beyond the normal cooperation existing between fellow students“. There is hard to imagine a more deserving recipient than Shivaram. During his PhD, Shivaram has been generous with his time and sharing credit to a fault. He has helped his peers in every imaginable way; after six years his colleagues still have to hear him saying “no” when asked for help. He has been a trusted sounding board for other graduate students (and even faculty) when it comes to feedback on their research, talks, and papers. Shivaram has been, without exaggeration, the nexus of knowledge…