Recent News & Accomplishments
2023
Whether it’s managing an office move or handling multiple maintenance requests, J’Vaughn Holmes could be one of the busiest staff members on the University of Maryland campus, yet he juggles his hectic workload with consummate ease and an engaging sense of humor. As the facilities coordinator for the University of Maryland Institute for Advanced Computer Studies (UMIACS) and the Department of Computer Science, it is Holmes’ responsibility to make sure everything runs smoothly behind the scenes so that faculty, staff and students have the proper space and equipment to get their work done... read more
Her work offers a fresh perspective on traditional planning languages used in robotics.
Angeline Aguinaldo , a computer science Ph.D. student at the University of Maryland, received a Best Paper Award for her research in the field of robotic representation at the 2023 Association for the Advancement of Artificial Intelligence (AAAI ) Fall Symposium on Unifying Representations for Robot Application Development, held in Arlington, Virginia, from October 25 to 27, 2023. Her paper, titled “ A Categorical Representation Language and Computational System for Knowledge-Based Robotic Task Planning ,” made a notable contribution to AI planning. In addition to Aguinaldo, collaborators on... read more
70 UMD students will be matched with companies for a comprehensive micro-internship program.
[ Learn more about the Sprinternship program and how to apply here ] Break Through Tech’s Sprinternship™ program is designed to help undergraduate women from diverse racial and socioeconomic backgrounds break into careers in tech. This year, Break Through Tech DC is collaborating with 14 organizations to host micro-internships for 70 University of Maryland undergraduate students. This January, these Sprinterns will spend three weeks tackling real business challenges while immersed in their host companies’ culture. Employers are gaining access to emerging tech talent and participating in... read more
He aims to make AI more human-like by teaching it to learn and make decisions as humans do.
Machine learning is responsible for some of the most significant advancements in technology that make use of artificial intelligence today—from the burgeoning industry of self-driving cars to virtual personal assistants, like Amazon’s Alexa and Apple iPhone’s Siri. However, there is still a long way to go in this field in order to close the divide between humans and machines. Tianyi Zhou, an assistant professor of computer science, is working at the intersection of machine learning and natural language to make AI more human-like by teaching it to learn and make decisions like people do. “... read more
Human body becomes robot playground in project funded by Arts for All Initiative
A tiny robot glides up a dancer’s arm and travels across her torso, connecting an ancient art form to the technology of the future. Instead of passively watching, the audience for the piece—through their smartphones—helps control the movements of the glowing device. “We wanted to use that as a bit of a proxy between us as individuals, and the digital collective on social media,” said Jonathan David Martin, a lecturer in the University of Maryland’s Immersive Media Design major and one of the members of the multidisciplinary team behind DANCExDANCE. The research collaboration was initially... read more
Marina Knittel and Alexander Levine each received the award for the 2023–24 academic year.
The Department of Computer Science at the University of Maryland announced its winners of the Larry S. Davis Doctoral Dissertation Award for 2023-24, an annual honor distinguishing the department's two outstanding doctoral dissertations. This year's recipients are Marina Knittel , who plans to graduate this semester and begin a postdoctoral fellowship at UC San Diego in January, and Alexander Levine (Ph.D. '23, computer science), currently a postdoctoral fellow at the University of Texas at Austin. The award highlights exceptional dissertations noted for their technical depth, significance,... read more
The workshop helped to unite researchers from multiple disciplines to explore the future of technology research and foster collaboration.
General-purpose generative models are the massive, big-data-driven systems powering new and exciting artificial intelligence technology. These systems use large language models, complex algorithms and neural networks to produce original text, audio, synthetic data, images and more. However, the impressive performance of these models comes at a cost. They require significant data, computational power, and storage, creating a barrier to entry, especially for smaller research groups. The hype around large pre-trained models (LPMs)—a deep learning model that is trained on large datasets to... read more
UMD alum and Worcester Polytechnic Institute faculty member Nitin Sanket is creating a tiny drone that could help pollinate plants.
This summer’s weather extremes were stark reminders that climate change is not only real, it’s here. Less visible to most of us than smoke-filled skies, water-logged roads and life-threatening heat—but just as important—is the dramatic and ongoing decline of global bee populations. Many crops rely on commercially managed honeybees, wild native bees and other pollinators to reproduce. In fact, one-third of every bite of food we eat comes from plants that need to be pollinated, so pollinator health affects all of us. But almost 35 percent of insect pollinator populations worldwide are at risk... read more
This comprehensive project is committed to advancing cutting-edge technologies in various domains, such as engineering, robotics and cybersecurity.
ArtIAMAS , a pioneering five-year collaborative initiative between researchers from the University of Maryland, the University of Maryland Baltimore County and the US Army Research Lab (ARL), is now entering its third year of the program. This comprehensive project is dedicated to advancing cutting-edge technologies across diverse domains including engineering, robotics, computer science, operations research, modeling and simulation and cybersecurity. These technologies are meticulously designed to operate autonomously while seamlessly complementing human capabilities. The UMD Gamma Lab , led... read more
Many of the leading artificial intelligence companies are already incorporating watermarking tech into their products. Some are simple and easily cropped, like OpenAI’s marking on DALL-E images, but others are more persistent. In August, for instance, Google announced the beta version of SynthID, an imperceptible watermark inserted directly into the pixels of an image. The method avoids degrading or prominently marking the image while allowing AI detection software to authenticate it even after it’s cropped or resized. These “high perturbation” methods of embedding digital watermarks into the... read more