November 21, 2023 | New Scientist
Generative AI tools such as chatbots may be able to help chip designers generate code and find software bugs.
November 20, 2023 | UC San Diego Today
From the operating room to our homes and streets, robots are becoming increasingly integral to our daily activities. On November 14, 2023 the UC San Diego Contextual Robotics Institute hosted its eighth annual forum, bringing together robotics experts from industry and academia to discuss cutting-edge developments in the field that aim to improve our health, safety, learning and quality of life.
Congratulations to TILOS Faculty and Student Award Recipients in 2023
November 17, 2023
- Robotics team member Professor Nikolay Atanasov of UC San Diego received the IEEE Robotics and Automation Society's Early Academic Career Award in Robotics and Automation for "contributions to the advancement of autonomous navigation, simultaneous localization and mapping, and active robot perception"
- Graduate student Nicklas Hansen of UC San Diego received a 2024-2025 NVIDIA Graduate Fellowship
- Chips team member Professor David Z. Pan's team from UT Austin won the first MLCAD Contest on FPGA Macro-Placement
- Robotics team member Professor Hao Su of UC San Diego received the NSF CAREER Award for "Interaction-oriented 3D Representation Learning on Point Cloud"
November 8, 2023
TILOS Robotics team co-lead Vijay Kumar of the University of Pennsylvania co-organized this two-day event hosted by NSF's
Engineering Research Visioning Alliance (ERVA) at Georgia Tech.
November 3, 2023 | MIT
Boston Symmetry Day is a meeting of symmetry-minded folks in the Boston area, and the largest event on symmetry and machine learning in the United States.
November 1, 2023 | Yale Daily News
Eleven months after ChatGPT’s release, Yale computer science professors discussed the carbon footprint associated with artificial intelligence and how growing industry management might better control its energy use.
September 28, 2023 | UC San Diego Today
UC San Diego’s world-class, dynamic innovation ecosystem takes center stage during annual event.
September 21, 2023 | UC San Diego Federal Relations
Yusu Wang and Tara Javidi of UC San Diego represent TILOS at the National Science Foundation's Artificial Intelligence Hill Day at the United States Capitol.
September 14, 2023 | UC San Diego Today
TILOS Director Yusu Wang participates in the InSight Sessions Panel
AI Explored: From Healthcare Innovation and Artistic Quests to Ethical Quandaries at the second annual
San Diego Innovation Day.
August 22, 2023 | UC San Diego Today
Professor Henrik Christensen of UC San Diego on using AI for self-driving cars.
August 17, 2023 | National University
TILOS faculty help San Diego-based National University establish seven new career-relevant programs.
July 24, 2023 | Forbes
Professor Stephanie Jegelka of MIT on graph models for machine learning.
July 20, 2023 | Wall Street Journal
Professor David Pan of UT Austin is interviewed for the Wall Street Journal.
July 1, 2023 | Scientific American
TILOS Robotics Team member Professor Xiaolong Wang's (UC San Diego) cool work on robotic hand control based on "touch dexterity" instead of sight is featured in
Scientific American.
May 11, 2023 | IEEE ITSoc
Congratulations to TILOS faculty Professor Shirin S. S. Bidokhti (Networking team, UPenn) and Professor Hamed Hassani (Foundations team, UPenn), whose paper received the
2023 IEEE Communications Society & Information Theory Society Joint Paper Award.
March 29, 2023 | Communications of the ACM
Director Andrew Kahng of UC San Diego weighs in on reinforcement learning for chip placement.
March 27, 2023 | NVIDIA Developer
TILOS provides the benchmark for NVIDIA AutoDMP.
December 8, 2022 | Penn Today
Vijay Kumar of the School of Engineering and Applied Science and Katalin Karikó and Drew Weissman of the Perelman School of Medicine were honored with the recognition.
December 7, 2022 | AATRN
Congratulations to Professor Yusu Wang of UC San Diego on her illuminating interview with Tamal Dey as part of the Applied Algebraic Topology Research Network (AATRN) 2022-2023
Interview Series.
See the video
here.
November 17, 2022 | UC San Diego Today
Congratulations to Professor Tajana Rosing of UC San Diego, recipient of the the 2022 University Research Award from the
Semiconductor Industry Association (SIA) and the
Semiconductor Research Corporation (SRC). Professor Rosing is the first woman recipient in the history of the award.
November 2022 | NetSci
Congratulations to Professor Fan Chung Graham of UC San Diego, who has been elected
Fellow of the Network Science Society as one of the seven fellows of the class of 2022 for her foundational contributions to the combinatorics of random graphs and networks.
September 22, 2022 | BREAKTHROUGH PRIZE
Congratulations to Professor Daniel A. Spielman of Yale for receiving the Breakthrough Prize in Mathematics! Professor Spielman has been awarded this prize for multiple discoveries in theoretical computer science and mathematics. See a short video about his achievement
here.
August 3, 2022 | National University
The National Science Foundation’s $20 million grant, in partnership with other prominent colleges, funds the new specialization for Master of Science, Data Science in Artificial Intelligence & Optimization.
February 17, 2022 | Intel Labs
Congratulations to Professor Tajana Rosing of UC San Diego, recipient of Intel's 2021 Outstanding Researcher Award in recognition of her project
MLWiNS: Hyper-Dimensional Computing for Scalable Intelligence Beyond the Edge.
January 19, 2022 | ACM Media Center
Congratulations to Professors David Z. Pan of UT Austin and Tajana Rosing of UC San Diego for their elevation to Fellows of the Association for Computing Machinery! Professor Pan is elevated "for contributions to electronic design automation, including design for manufacturing and physical design." Professor Rosing is elevated "for contributions to power, thermal, and reliability management."
December 23, 2021 | ACM News Release
Congratulations to Professor Yusu Wang of UC San Diego on her recognition as Distinguished Member of the Association of Computing Machinery (ACM) for outstanding scientific contributions to computing!
December 6-14, 2021 | NeurIPS Proceedings
(Works acknowledging TILOS support are denoted by **)
- Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures Yuan Cao, Quanquan Gu, Mikhail Belkin
- Multiple Descent: Design Your Own Generalization Curve Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi
- NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs Evan McCarty, Qi Zhao, Anastasios Sidiropoulos, Yusu Wang
- Fair Classification with Adversarial Perturbations L. Elisa Celis, Anay Mehrotra, Nisheeth Vishnoi
- Coresets for Time Series Clustering Lingxiao Huang, K Sudhir, Nisheeth Vishnoi
- Support Recovery of Sparse Signals from a Mixture of Linear Measurements Soumyabrata Pal, Arya Mazumdar, Venkata Gandikota
- Fuzzy Clustering with Similarity Queries Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
- L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Ray Chen, David Pan
- Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks Chenning Yu, Sicun Gao
- Adaptive Sampling for Minimax Fair Classification Shubhanshu Shekhar, Greg Fields, Mohammad Ghavamzadeh, Tara Javidi
- NovelD: A Simple yet Effective Exploration Criterion Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian
- Multi-Person 3D Motion Prediction with Multi-Range Transformers Jiashun Wang, Huazhe Xu, Medhini Narasimhan, Xiaolong Wang**
- Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation Nicklas Hansen, Hao Su, Xiaolong Wang**
- An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks Shashank Rajput, Kartik Sreenivasan, Dimitris Papailiopoulos, Amin Karbasi
- Submodular + Concave Siddharth Mitra, Moran Feldman, Amin Karbasi
- Parallelizing Thompson Sampling Amin Karbasi, Vahab Mirrokni, Mohammad Shadravan
- Model-Based Domain Generalization Alexander Robey, George Pappas, Hamed Hassani
- Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients Aritra Mitra, Rayana Jaafar, George Pappas, Hamed Hassani
- Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey, Luiz Chamon, George Pappas, Hamed Hassani, Alejandro Ribeiro
- Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates Alp Yurtsever, Alex Gu, Suvrit Sra
- Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka
- Measuring Generalization with Optimal Transport Ching-Yao Chuang, Youssef Mroueh, Kristjan Greenewald, Antonio Torralba, Stefanie Jegelka
- Can contrastive learning avoid shortcut solutions? Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra
- What training reveals about neural network complexity Andreas Loukas, Marinos Poiitis, Stefanie Jegelka
October 11, 2021 | Quanta Magazine
(Anil Ananthaswamy's article in Quanta Magazine discusses kernel methods and their relevance, including some of Professor Mikhail Belkin's recent work.)
In the machine learning world, the sizes of artificial neural networks and their outsize successes are creating conceptual conundrums. When a network named Alexnet won an annual image recognition competition in 2021, it had about 60 million parameters. These parameters, fine-tuned during training, allowed AlexNet to recognize images that it had never seen before. Two years later, a network named VGG wowed the competition with more than 130 million such parameters. Some artificial neural networks or ANNs, now have billions of parameters.
August 27, 2021 | UC San Diego Today
The National Science Foundation (NSF) recently announced that the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego is the future home of The Institute for Learning-enabled Optimization at Scale, or TILOS. The $20M Artificial Intelligence (AI) hub will foster research and focus on "making impossible optimizations possible" at both scale and in practice.
August 2, 2021 | National University
As part of an initiative to establish a series of artificial intelligence research institutes nationwide, the National Science Foundation (NSF) has awarded a $20 million grant to a partnership of prestigious universities led by University of California, San Diego, and including
National University, Yale University, the Massachusetts Institute of Technology, the University of Pennsylvania, and the University of Texas at Austin.
July 29, 2021 | San Diego Union Tribune
A new research institute led by UC San Diego has been awarded $20 million from the National Science Foundation to pursue foundational breakthroughs in artificial intelligence—an emerging battleground for the U.S. in the global race for technology leadership.
July 29, 2021 | KPBS Science and Technology
The National Science Foundation is investing $20 million in artificial intelligence research at UC San Diego. UC San Diego’s Jacobs School of Engineering will host one of 11 artificial intelligence institutes with an investment totaling $220 million.
July 29, 2021 | Penn Engineering Today
Through a $20 Million grant, the National Science Foundation (NSF) has established the
Institute for Learning-enabled Optimization at Scale, or TILOS. As one of TILOS’s partner institutions, Penn Engineering will contribute to its research on how algorithm-based systems can learn and improve upon themselves as they work.
July 29, 2021 | University of Texas at Austin
The National Science Foundation just announced 11 new artificial intelligence institutes across the nation, and researchers from the Cockrell School of Engineering at the University of Texas at Austin will play prominent roles in two of them.
July 29, 2021 | MIT Computer Science & Artificial Intelligence Lab
The National Science Foundation (NSF) announced today an investment of $220 million to establish 11 artificial intelligence (AI) institutes, each receiving $20 million over five years. One of these, The Institute for Learning-enabled Optimization at Scale (TILOS), will be led by the University of California San Diego in partnership with the Massachusetts Institute of Technology (MIT), San Diego-based National University, the University of Pennsylvania, the University of Texas at Austin, and Yale University. TILOS is also partially supported by Intel Corporation.
July 29, 2021 | Newswise
Yale researchers are taking a major role in two artificial intelligence (AI) institutes, each funded by the National Science Foundation (NSF).
The NSF announced today that it is investing $220 million to establish 11 AI institutes, each receiving $20 million over five years. Yale researchers are taking leadership positions in two of these institutes, one of which will focus on optimization, and another dedicated to edge computing and computer network systems. Eight Yale scientists in total are members of the institutes.
July 29, 2021 | Newswise
Yale researchers are taking a major role in two artificial intelligence (AI) institutes, each funded by the National Science Foundation (NSF).
The NSF announced today that it is investing $220 million to establish 11 AI institutes, each receiving $20 million over five years. Yale researchers are taking leadership positions in two of these institutes, one of which will focus on optimization, and another dedicated to edge computing and computer network systems. Eight Yale scientists in total are members of the institutes.
July 29, 2021 | Newswise
The National Science Foundation (NSF) announced today
an investment of $220 million to establish 11 artificial intelligence (AI) institutes, each receiving $20 million over five years. One of these, The Institute for Learning-enabled Optimization at Scale (TILOS), will be led by the University of California San Diego in partnership with the Massachusetts Institute of Technology (MIT), San Diego-based National University, the University of Pennsylvania, the University of Texas at Austin, and Yale University. TILOS is also partially supported by Intel Corporation.
July 29, 2021 | Intel
Intel Labs has a long-standing
partnership with the NSF involving several programs aimed at advancing AI technology and innovation. The two organizations started working together decades ago when co-founding the
Semiconductor Research Corporation (SRC), the world's leading microelectronics research consortium. Since then, they have established several exciting collaborations and programs spanning industry, government, and academia.
July 29, 2021 | NSF AI Institutes Team
Today, the U.S. National Science Foundation announced the establishment of 11 new NSF National Artificial Intelligence Research Institutes, building on the first round of seven institutes funded in 2020. The combined investment of $220 million expands the reach of these institutes to include a total of 40 states and the District of Columbia.
