Follow the latest news from the Center for Machine Learning.
Feizi, Goldstein, Huang and Manocha are developing and testing the reliablity of AI text-detectors.
see more ›He is advancing provable robustness to develop practical methods with theoretical guarantees.
see more ›John Dickerson, Furong Huang, and Pratap Tokekar are part of a new center that prioritizes values in AI.
see more ›His research has the potential to transform applications in security, health and robotics.
see more ›Manocha is leading efforts to develop ground and aerial autonomy related to human-machine teaming.
see more ›He was specifically noted for his significant contributions to the fields of algorithmic graph theory and algorithmic game theory.
see more ›Twenty-three papers were accepted to the main conference with 16 presented at affiliated workshops.
see more ›She is being recongnized by MIT Technology Review Asia for making AI more trustworthy.
see more ›He recently received two separate $300K research awards from NSF and Meta.
see more ›The program is designed to support machine learning researchers from underrepresented groups.
see more ›Our researchers developed an advanced watermark that's impossible to remove without detection.
see more ›They participated in a prestigious 10-week undergraduate research program at UMD.
see more ›He plans to hire several new faculty, expand the center’s infrastructure, and establish a new postdoctoral research position.
see more ›A mix of faculty, postdocs and students presented 18 papers and 18 workshops in Baltimore.
see more ›They have both been promoted to associate professor with tenure.
see more ›Postdoc Troi Williams uses machine learning to improve sensors on drones.
see more ›The funding will support his work developing algorithms to advance teams of autonomous robots.
see more ›Aravind Srinivasan is developing algorthims to determine the most equitable vaccination sites.
see more ›She's leading the $1M project that's jointly supported by NSF and Amazon.
see more ›Her research focuses on multimodal interaction, physically-based animations and simulations, as well as algorithmic robotics.
see more ›Researchers’ algorithm could help increase global supply of a precious resource.
see more ›The half-a-million dollar grant will support his efforts to study both natural and adverserial threats.
see more ›She is the 10th UMD Faculty member to be honored.
see more ›The program was designed to support machine learning researchers from underrepresented groups.
see more ›VisiSonics has partnered with Andrea Systems to improve aviators' helmets with 3D audio.
see more ›The award is the Washington Academy of Science's highest honor.
see more ›Four Center for Machine Learning researchers will drive transformational advances in AI and autonomy.
see more ›He will operationalize and incorporate responsible AI practices and techniques into real-world systems.
see more ›The spatial audio expert will improve models and simulations of 2D and 3D audio technologies
see more ›His project investigates how computer memory can be used to represent knowledge.
see more ›The weekly talks will cover bias in AI, ML and theoretical computer science.
see more ›He was selected for his outstanding AI achievements including improving kidney exchange networks.
see more ›His metrics will also evlauate a defenses's scalability in deep neetworks and transferability across models.
see more ›The fiancial and technology leader is supporting the development of a system that identifies bank fraud.
see more ›The researchers will develop a theory of deep learning based on rigorous mathematical principles.
see more ›He is leading the $971K project that will be able to identify the origin and sophistication level of attacks.
see more ›These researchers have been selected to present their work at the Reinforcement Learning Seminar Series.
see more ›He is developing algorithms that can identify superspreaders and prioritize who to test and when.
see more ›The inagural director is intent on expanding the center's research, education and diversity.
see more ›Machine learning expert Aravind Srinivasan is leading the computational foundations research.
see more ›The expert in theoretical computer science was noted for his contributions to algorithmic graph theory, game theory and distributed computing.
see more ›The money supports research to improve the security of various artifical intelligence applications.
see more ›The students who nominated Dickerson for the award noted the great deal of respect he has for their ideas.
see more ›He has been recognized for his contributions to randomized algorithms & probabilistic methods with applications to network & computational science.
see more ›The funding supports his efforts to develop a comprehensive and fundamental understanding of modern generative models.
see more ›Election as an IEEE Fellow is recongnized by the technical community as a prestigious honor and important career achievement.
see more ›Her research combines theoretical and empirical approaches to understanding deep learning.
see more ›Watch how she applies classical ML algorithms to solve problems within deep neural networks.
see more ›Dieng is the second speaker selected to present her work as a Rising Star in Machine Learning.
see more ›Goel is one of three speakers chosen to present their work as a Rising Star in Machine Learning.
see more ›Researchers will train computers to figure out challenges in big data, finance and health care.
see more ›Three women have been selected to present their research at the Brendan Iribe Center.
see more ›He has been named a 2019 Fellow of the John Simon Guggenheim Memorial Foundation.
see more ›He will use the award to develop methods to improve existing market systems and enable new markets.
see more ›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.
see more ›The award recognizes outstanding academic papers whose impact on distributed computing has been evident for at least a decade.
see more ›