TILOS Faculty Affiliate Rose Yu named to MIT Technology Review's list of innovators under 35
September 2024 | MIT Technology Review
Rose Yu is an Associate Professor of Computer Science and Engineering at UC San Diego. Her research interests lie primarily in deep learning, especially for large-scale spatiotemporal data. She is broadly interested in high-dimensional optimization, uncertainty quantification and decision making in spatiotemporal environments.
Yale commits to invest $150 Million into AI development
August 29, 2024 | Yale Daily News
This commitment is in response to the recommendations of the Report of the Yale Task Force on Artificial Intelligence, a set of recommendations for coordinated action and University-wide artificial intelligence investments developed by a team of faculty members who already use AI in their departments. [University Provost Scott] Strobel wrote that this is a necessary step to fulfill the university’s mission “to improve the world and prepare the next generation of society’s great leaders and thinkers.”
Investment in AI is necessary for Yale to remain "competitive" as AI innovation expands at peer universities, according to Nisheeth Vishnoi, a professor of computer science and member of the task force.
Learning Dance Moves Could Help Humanoid Robots Work Better With Humans
July 11, 2024 | UC San Diego Today
“Through expressive and more human-like body motions, we aim to build trust and showcase the potential for robots to co-exist in harmony with humans,” said Xiaolong Wang, a professor in the Department of Electrical and Computer Engineering at the UC San Diego Jacobs School of Engineering. “We are working to help reshape public perceptions of robots as friendly and collaborative rather than terrifying like The Terminator.”
$2.8 million NSF grant will expand AI education and research opportunities for students
July 2, 2024 | SDSU News
In collaboration with the NSF Institute for Learning-enabled Optimization at Scale, the project will focus on diversity within the AI research community.
Creating a diverse and inclusive AI research community is the goal of new NSF awards
June 25, 2024 | National Science Foundation
The U.S. National Science Foundation is excited to announce a new round of ExpandAI awards dedicated to fostering diversity and inclusion within the artificial intelligence research community. “NSF Expanding AI Capacity in San Diego: A Strategic Collaboration between San Diego State University and TILOS AI Institute” aims to expand the AI research, education and infrastructure capacity at SDSU, focusing on cultivating talent from diverse communities in the San Diego area for the AI workforce.
2024 edition of U.S. robotics roadmap points to need for more federal coordination
May 30, 2024 | The Robot Report
The quadrennial set of recommendations is produced and sponsored by institutions led by the University of California, San Diego. The authors sent the latest edition to presidential campaigns, the AI Caucus in Congress, and the investment community, noted Henrik I. Christensen, main editor of the roadmap.
"Open X-Embodiment: Robotic Learning Datasets and RT-X Models" a finalist for the IEEE ICRA 2024 Best Paper Award in Robot Manipulation
May 20, 2024 | Robohub
TILOS Robotics team members Henrik Christensen, Hao Su, and Xiaolong Wang, and graduate student Nicklas Hansen are members of the Open X-Embodiment Collaboration.
Two new Humboldt Professorships in the field of Artificial Intelligence
May 14, 2024 | TUM
Stefanie Jegelka and Suvrit Sra were honored with Germany's most highly endowed research award.
Congratulations to TILOS graduate students Zhili Xiong and Rachel Selina Rajarathnam for winning the Best Paper Award at FCCM 2024!
May 8, 2024
The IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), is a premier conference in field-programmable gate array (FPGA) research, including computer-aided design (CAD) and architecture. Zhili Xiong and Rachel Selina Rajarathnam work with TILOS Chips team member David Pan at UT Austin.
Congratulations to TILOS graduate student Zhishang Luo for winning a 2024 Qualcomm Innovation Fellowship!
May 1, 2024
Zhishang Luo and fellow graduate student Jesse He, both of the Halıcıoğlu Data Science Institute at UC San Diego, have been awarded a 2024 Qualcomm Innovation Fellowship for their project Explainable Graph Learning for Property Prediction on Netlist Representations.
Congratulations to TILOS member Fan Chung Graham on her election to the National Academy of Sciences!
April 30, 2024 | American Mathematical Society
Professor Chung Graham joins a body of 2,617 active scientists who were elected by their peers to membership in the National Academy of Sciences for outstanding contributions to research.
How Do Machines ‘Grok’ Data?
April 12, 2024 | Quanta Magazine
By apparently overtraining them, researchers have seen neural networks discover novel solutions to problems.
AI Researchers Present “Average Gradient Outer Product (AGOP)” to Explain how Neural Networks Learn
March 18, 2024 | AIthority
Considered the “black box” of machine learning, AI neural networks can expand the range of innovations and applications in different areas. AGOP is a unifying mathematical mechanism that establishes the core fundamentals explaining how neural networks learn from general machine learning models.
How Do Neural Networks Learn? A Mathematical Formula Explains How They Detect Relevant Patterns
March 13, 2024 | UC San Diego Today
The insights, published in the journal Science, can also be used to make other types of machine learning architectures more effective.
Mechanism for feature learning in neural networks and backpropagation-free machine learning models
March 8, 2024 | Science
Appearing in Science, this work by TILOS Foundations team member Mikahil Belkin and TILOS graduate students presents a unifying mathematical mechanism called Average Gradient Outer Product (AGOP) that characterizes feature learning in neural networks.
Large language models can do jaw-dropping things. But nobody knows exactly why.
March 6, 2024 | MIT Technology Review
TILOS Foundations team member Mikhail Belkin is interviewed in this MIT Technology Review article about one of the biggest scientific puzzles of our time.
Redefining Math: National University Introduces Bachelor of Science Degree in Mathematics with Data Analytics & Teaching Focus
February 28, 2024 | National University
Bridging mathematics and technology: National University's mathematics department incorporates data science courses developed through TILOS into an updated Bachelor of Science degree program.
UCSD professor speaks on autonomous vehicles for micro-mobility
February 26, 2024 | Notre Dame Observer
Professor Henrik Christensen speaks to the challenges and benefits of using automated vehicles for trips of short to moderate distance (zero to five miles), which account for a staggering 60% of all travel in the United States.
The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics
February 20, 2024 | AI Magazine
Optimization is a universal quest, reflecting the basic human need todo better. Improved optimizations of energy-efficiency, safety, robustness, and other criteria in engineered systems would bring incalculable societal benefits. But, fundamental challenges of scale and complexity keep many such real-world optimization needs beyond reach. TILOS aims to overcome these challenges in three high-stakes use domains.
Machine Learning and Mathematics with Tristan Brugère
February 13, 2024 | UCTV
Tristan Brugère, a Ph.D. student in the Halıcıoğlu Data Science Institute at UC San Diego discusses his research at The Institute for Learning-enabled Optimization at Scale (TILOS). Specifically, how he is working on optimal transport and neural networks on graph generative models with applications to chip design.
How symmetry can come to the aid of machine learning
February 5, 2024 | MIT News
Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.
Congratulations to TILOS member Misha Belkin for being selected as a 2023 Fellow of the Association for Computing Machinery
January 24, 2024 | Association for Computing Machinery
Professor Belkin has been selected for contributions to modern machine learning theory and algorithms.
How an emerging economy is fueling an academic renaissance
January 16, 2024 | University Business
"The CHIPS ACT [is] a specific example of how we want to retake high-tech manufacturing and put it on American shores so that American workers benefit," says Jodi Reeves, chair of National University's Department of Data Science & Analytics. "That's something that all educational institutions want to support."
Using AI to Build Better Wireless Networks with Tara Javidi
January 15, 2024 | UCTV
TILOS Networks team co-lead Tara Javidi, a professor of Electrical and Computer Engineering at UC San Diego, discusses her research in artificial intelligence and large scale wireless networks.
Texas ECE Team Wins IEEE MLCAD Contest
January 5, 2024 | UT Austin ECE News
A group of Electric and Computer Engineering PhD students supervised by Chips team member David Z. Pan won first place in the 2023 ACM/IEEE Workshop on Machine Learning for CAD (MLCAD) FPGA Macro Placement Contest. Congratulations to Zhili Xiong, Rachel Selina Rajarathnam, Zhi-Xing Jiang, and Hanqing Zhu!
TILOS member Misha Belkin named editor-in-chief of SIAM Journal on Mathematics of Data Science
January 1, 2024
As of January 2024, TILOS Foundations team member Misha Belkin is the editor-in-chief of the Society for Industrial and Applied Mathematics (SIAM) Journal on Mathematics of Data Science (SIMODS), a leading journal on the foundations of data science.
From Troops to Tech Leaders: National University Paves the Way for Service Members to Transition into AI and Data Science Careers
December 21, 2023 | Yahoo Finance
With prestigious National Science Foundation grant, Veteran-founded National University announces new bachelor's degree helping active-duty military and Veterans up- and reskill for careers in data science and AI.
TILOS students and postdocs at NeurIPS 2023
December 12, 2023
More than thirty TILOS graduate students and postdoctoral scholars gathered for a lunch social on December 12, 2023 at the 37th Annual Conference on Neural Information Processing Systems (NeurIPS) in New Orleans, Louisiana.
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NVIDIA wants to use AI chatbots to help build better chips
November 21, 2023 | New Scientist
Generative AI tools such as chatbots may be able to help chip designers generate code and find software bugs.
Exploring the Diverse Applications of Robotics Beyond the Lab at UC San Diego
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"
Strategic Thinking for Engineering Research in the Era of Artificial Intelligence
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.
TILOS sponsors Boston Symmetry Day
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.
AI’s carbon footprint can be managed, computer science professors say
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.
Exploring the Future of Innovation in San Diego
September 28, 2023 | UC San Diego Today
UC San Diego’s world-class, dynamic innovation ecosystem takes center stage during annual event.
TILOS at the NSF AI Hill Day at the United States Capitol
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.
TILOS at the Second Annual San Diego Innovation Day
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.
7 AI-Powered Technologies You Should Know About
August 22, 2023 | UC San Diego Today
Professor Henrik Christensen of UC San Diego on using AI for self-driving cars.
National University Announces Seven New Career-Relevant Programs for Knowledge Economy and Business Professionals
August 17, 2023 | National University
TILOS faculty help San Diego-based National University establish seven new career-relevant programs.
What Graph Models, a Branch of Machine Learning, Like to Learn
July 24, 2023 | Forbes
Professor Stephanie Jegelka of MIT on graph models for machine learning.
In Race for AI Chips, Google DeepMind Uses AI to Design Specialized Semiconductors
July 20, 2023 | Wall Street Journal
Professor David Pan of UT Austin is interviewed for the Wall Street Journal.
New Robot Hand Works by Feel, Not Sight
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.
2023 IEEE Communications Society & Information Theory Society Joint Paper Award
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.
More Details, but Not Enough
March 29, 2023 | Communications of the ACM
Director Andrew Kahng of UC San Diego weighs in on reinforcement learning for chip placement.
AutoDMP Optimizes Macro Placement for Chip Design with AI and GPUs
March 27, 2023 | NVIDIA Developer
TILOS provides the benchmark for NVIDIA AutoDMP.
For "spirit of innovation," three from Penn named National Academy of Inventors Fellows
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.
Applied Algebraic Topology Research Network (AATRN) 2022-2023 Interview Series
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.
UC San Diego Computer Scientist Honored for Excellence in Semiconductor Design Research
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.
Fellow of the Network Science Society
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.
Winners of the 2023 Breakthrough Prizes in Life Sciences, Mathematics, and Fundamental Physics Announced
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.
National University’s Artificial Intelligence Program to Commence Summer 2022
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.
Intel's 2021 Outstanding Researcher Awards Recognize 17 Academic Researchers
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.
ACM Names 71 Fellows for Computing Advances that are Driving Innovation
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."
ACM Recognizes 2021 Distinguished Members for Pivotal Educational, Engineering and Scientific Contributions
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!
TILOS Researchers in the Proceedings of Neural Information Processing Systems (NeurIPS) 2021
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
A New Link to an Old Model Could Crack the Mystery of Deep Learning
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.
A Focus on Foundations: Halıcıoğlu Data Science Institute Hosts NSF-Funded AI Institute
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.
NSF Artificial Intelligence Grant
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.
Artificial Intelligence Institute Led by UC San Diego Lands $20 Million from National Science Foundation
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.
UCSD Lands Major Federal Grant to Develop Artificial Intelligence
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.
Penn Engineers Help Launch TILOS, a New NSF Artificial Intelligence Research Institute Focused on Optimization
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.
Texas Engineers Play Critical Role in New NSF AI Institutes
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.
NSF Makes $20 Million Investment in Optimization-Focused AI Research Institute
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.
Yale Scientists Take Lead Roles in Two NSF-Funded AI 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
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.
NSF Makes $20 Million Investment in Optimization-Focused AI Research Institute Led by UC San Diego
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.
Intel® Labs and the National Science Foundation Invest in Artificial Intelligence
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.
NSF Makes $20 Million Investment in Optimization-Focused AI Research Institute Led by UC San Diego
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.