New Johns Hopkins Institute Aims to Make Baltimore an AI Hub

/ January 30, 2024

Johns Hopkins University has launched an ambitious endeavor that the school’s leaders say will make Baltimore a hub of the booming artificial intelligence industry. The new Data Science and Translation Institute, announced several months ago and planned for the western edge of the Homewood Campus, is expected to be “the leading

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Villar receives National Science Foundation’s Early CAREER Award 

/ January 22, 2024

Soledad Villar, assistant professor of applied mathematics and statistics, has been selected to receive the National Science Foundation (NSF)’s Early CAREER Award, which recognizes early stage scholars with high levels of promise and excellence. Villar’s five-year project “Symmetries and Classical Physics in Machine Learning for Science and Engineering,” will blend invariant theory, representation theory,

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Putting trust to the test

/ January 16, 2024

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

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Striking the Balance: Diving into the world of network inference

/ December 20, 2023

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

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Brain imaging technique allows researchers to achieve more with less data

/ December 15, 2023

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

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MINDS researchers present findings at NeurIPS 2023

/ December 14, 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

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Johns Hopkins + AI2AI announces Fellows and Faculty Research Awards

/ October 16, 2023

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

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Chellappa honored with IEEE Computer Society’s Distinguished Researcher Award 

/ October 16, 2023

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

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