Follow the latest news from the University of Maryland Center for Machine Learning.
The platform breaks down songs based on personal taste, emotion and mood.
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Their system replaces rigid, one-size-fits-all AI safeguards with a customizable framework that adapts to real-world risks.
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He will combine principles from reinforcement learning and game theory to enhance the safety of generative AI-agents.
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They’ve developed a novel system that teaches complex tasks to robots using simple drawings.
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They are making AI-driven LLMs more consistent, adaptable and secure for high-stakes settings.
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The funding is a result of the Presidential Early Career Award for Scientists and Engineers (PECASE).
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Their study uncovered crucial factors underlying vulnerabilities, and a need for enhanced security.
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The resulting 126-page proof and algorithm could help create more efficient computer and AI chips.
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Goldstein's work is featured in Quanta Magazine.
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Ramani Duraiswami will lead a workshop in Czechia to drive advances in audio-based AI models.
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Furong Huang made the first auction-based AI regulation system to priotize safety over capability.
see more ›He will improve how autonomous AI agents learn and collaborate in complex, real-world environments.
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The global competition had more than 2,700 entries.
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The award is the highest honor bestowed by the U.S. government on early-career scientists and engineers.
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Five scholars from underrepresented groups traveled to College Park to present their research.
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Phillip Pope is developing ML methods to accelerate chemical simulations and reduce fossil fuel reliance.
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They developed a scalable distributed training framework that rapidly trains AI-based LLMs.
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With $7M from DOE, the project aims to increase software development productivity by tenfold.
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Their work will enhance how robots reason, plan and engage in complex, real-world scenarios.
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Innovative work from Pratap Tokekar's Lab was honored at an IEEE robotics conference.
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She will develop and test novel technologies and protocols to strengthen the ethical foundations of AI.
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He will improve AI-based visual recognition models using one of the world's fastest supercomputers.
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The technology can detect text generated by large language models at an almost 90% success rate.
see more ›The institute's data center is undergoing renovations to expand its physical footprint by 50%.
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Duraiswami is examining how the unspoken words we form in our minds can be decoded.
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The $666K award supports her work in advancing reliable and trustworthy AI for social good.
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His research spans computer graphics, virtual reality, robotics and GPU computing.
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Eight emerging scholars from underrepresented groups were selected to present their research.
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The award provides significant run-time on supercomputers managed by the U.S. government.
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He works at the intersection of machine learning and natural language to make AI more human-like.
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The award funds innovative projects that push the boundaries of foundational models.
see more ›A self-described games enthusiast, Zhang is one of the center's newest members.
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Shrivastava's dataset is advancing generative AI by teaching systems to recognize fruits and vegetables.
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Li is the 2023 winner of IEEE Technical Committee on Cyber-Physical Systems' Outstanding Ph.D. Dissertation Award.
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His research aims to improve predictive data science and scientific computing via intelligent computation.
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Feizi, Goldstein, Huang and Manocha are developing and testing the reliablity of AI text-detectors.
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He is advancing provable robustness to develop practical methods with theoretical guarantees.
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Distinguished University Professor John Baras is a co-PI of the project 'Integrated Data-Driven and Model-Based Systems Engineering.'
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John Dickerson, Furong Huang, and Pratap Tokekar are part of a new center that prioritizes values in AI.
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His research has the potential to transform applications in security, health and robotics.
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Manocha is leading efforts to develop ground and aerial autonomy related to human-machine teaming.
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He was specifically noted for his significant contributions to the fields of algorithmic graph theory and algorithmic game theory.
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Twenty-three papers were accepted to the main conference with 16 presented at affiliated workshops.
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He was the first researcher to propose theoretically guaranteed algorithms for breaking backward locking in backpropagations.
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She is being recongnized by MIT Technology Review Asia for making AI more trustworthy.
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He recently received two separate $300K research awards from NSF and Meta.
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The program is designed to support machine learning researchers from underrepresented groups.
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Our researchers developed an advanced watermark that's impossible to remove without detection.
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They participated in a prestigious 10-week undergraduate research program at UMD.
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He plans to hire several new faculty, expand the center’s infrastructure, and establish a new postdoctoral research position.
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Professor Michelle Girvan was named a Distinguished Scholar-Teacher by the University of Maryland.
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A mix of faculty, postdocs and students presented 18 papers and 18 workshops in Baltimore.
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They have both been promoted to associate professor with tenure.
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Postdoc Troi Williams uses machine learning to improve sensors on drones.
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The funding will support his work developing algorithms to advance teams of autonomous robots.
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Aravind Srinivasan is developing algorthims to determine the most equitable vaccination sites.
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She's leading the $1M project that's jointly supported by NSF and Amazon.
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Her research focuses on multimodal interaction, physically-based animations and simulations, as well as algorithmic robotics.
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Researchers’ algorithm could help increase global supply of a precious resource.
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The half-a-million dollar grant will support his efforts to study both natural and adverserial threats.
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She is the 10th UMD Faculty member to be honored.
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The program was designed to support machine learning researchers from underrepresented groups.
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VisiSonics has partnered with Andrea Systems to improve aviators' helmets with 3D audio.
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The award is the Washington Academy of Science's highest honor.
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Four Center for Machine Learning researchers will drive transformational advances in AI and autonomy.
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He will operationalize and incorporate responsible AI practices and techniques into real-world systems.
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The spatial audio expert will improve models and simulations of 2D and 3D audio technologies
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His project investigates how computer memory can be used to represent knowledge.
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The weekly talks will cover bias in AI, ML and theoretical computer science.
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He was selected for his outstanding AI achievements including improving kidney exchange networks.
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His metrics will also evlauate a defenses's scalability in deep neetworks and transferability across models.
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The fiancial and technology leader is supporting the development of a system that identifies bank fraud.
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The researchers will develop a theory of deep learning based on rigorous mathematical principles.
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He is leading the $971K project that will be able to identify the origin and sophistication level of attacks.
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These researchers have been selected to present their work at the Reinforcement Learning Seminar Series.
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He is developing algorithms that can identify superspreaders and prioritize who to test and when.
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The inagural director is intent on expanding the center's research, education and diversity.
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Machine learning expert Aravind Srinivasan is leading the computational foundations research.
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The expert in theoretical computer science was noted for his contributions to algorithmic graph theory, game theory and distributed computing.
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The money supports research to improve the security of various artifical intelligence applications.
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The students who nominated Dickerson for the award noted the great deal of respect he has for their ideas.
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He has been recognized for his contributions to randomized algorithms & probabilistic methods with applications to network & computational science.
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The funding supports his efforts to develop a comprehensive and fundamental understanding of modern generative models.
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Election as an IEEE Fellow is recongnized by the technical community as a prestigious honor and important career achievement.
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Her research combines theoretical and empirical approaches to understanding deep learning.
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Watch how she applies classical ML algorithms to solve problems within deep neural networks.
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Dieng is the second speaker selected to present her work as a Rising Star in Machine Learning.
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Goel is one of three speakers chosen to present their work as a Rising Star in Machine Learning.
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Researchers will train computers to figure out challenges in big data, finance and health care.
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Three women have been selected to present their research at the Brendan Iribe Center.
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He has been named a 2019 Fellow of the John Simon Guggenheim Memorial Foundation.
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He will use the award to develop methods to improve existing market systems and enable new markets.
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She has received two separate research awards from the NSF and J.P Morgan to study neural networks and trading behavior over financial data streams.
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The award recognizes outstanding academic papers whose impact on distributed computing has been evident for at least a decade.
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