Hopkins researchers unveil new uncertainty quantification methods in an effort to promote appropriate trust in AI use. Artificial intelligence and machine learning can help users sift through terabytes of data to arrive at a conclusion driven by relevant information, prior results, and statistics. But how much should we trust those conclusions—especially
Striking the Balance: Diving into the world of network inference
Innovative new method could make computer calculations more efficient A team of Johns Hopkins applied mathematicians has devised a new method for untangling the intricate web of connections in complex networks such as social media and the internet. The researchers’ findings, described in The Journal of Computational and Graphical Statistics, have the potential to
Brain imaging technique allows researchers to achieve more with less data
A Johns Hopkins team has developed a new algorithm that can create ‘super-scans’ of the brain Magnetic resonance imaging (MRI) uses magnetic fields to create images of the body that allow doctors to diagnose injury or illness more accurately. Susceptibility tensor imaging (STI), a specialized MRI technique, measures the magnetic susceptibility
MINDS researchers present findings at NeurIPS 2023
The annual conference is a leading global event for interdisciplinary researchers, emphasizing machine learning and fostering dynamic idea exchange and innovation. Faculty and students from Johns Hopkins Mathematical Institute for Data Science present their recent findings at the 37th Conference on Neural Information Processing Systems held December 10 through 16 in New
Johns Hopkins + AI2AI announces Fellows and Faculty Research Awards
The Johns Hopkins University + Amazon Initiative for Artificial Intelligence (AI2AI) announces the selection of its 2023-2024 Fellows and Faculty Research Awards. Exceptional JHU WSE PhD candidates have been selected based on their outstanding publication record, research proposal, and mentor support. They include Jiang Liu, Department of Electrical and Computer Engineering and Mathematical Institute
Chellappa honored with IEEE Computer Society’s Distinguished Researcher Award
Rama Chellappa, Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering, has been selected to receive the Distinguished Researcher Award from IEEE Computer Society’s Pattern Analysis and Machine Intelligence Technical Committee. This award is presented to candidates whose research has significantly contributed to the progress of computer vision. Candidates are
MINDS Director Rene Vidal wins IEEE Signal Processing Magazine Best Paper Award
EEE Signal Processing Magazine is a scientific journal that publishes advances in signal processing, a branch of electrical engineering that models and analyzes data. The Best Paper Award honors the author of a paper of “exceptional merit and broad interest” that has appeared in the magazine ten or more years ago. Vidal’s
Johns Hopkins and Amazon collaborate to explore transformative power of AI
Johns Hopkins University and Amazon are teaming up to harness the power of artificial intelligence to transform the way humans interact online and with the world. The new JHU + Amazon Initiative for Interactive AI, housed in the Johns Hopkins Whiting School of Engineering, will leverage the university’s world-class expertise in