News & Articles

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 academic hub for data […]

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From CLSP to HEART: A conversation with Orion Weller on information retrieval systems

October 26, 2023

Orion Weller is a third-year doctoral student affiliated with the Center for Language and Speech Processing (CLSP) advised by Benjamin Van Durme and Dawn Lawrie. He is currently teaching a Hopkins Engineering Applications and Research Tutorials (HEART) course titled Reasoning with ChatGPT in which he discusses the contexts and relevance of his research. In an interview with The […]

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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 for Data Science; Ambar Pal, Department […]

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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 nominated based on […]

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Thomas Thebaud wins Best Postdoctoral Poster award at AAIC2023 preconference

July 28, 2023

Postdoctoral Fellow, Thomas Thebaud, received the “Best Postdoctoral Poster” award at the Technology and Dementia pre-conference for the 2023 Alzheimer Association International Conference (AAIC) for his poster entitled, “Handwriting Characteristics Analysis for Alzheimer’s Disease and MCI Assessment”.  Dr. Thebaud is a fellow training under the supervision of Dr. Najim Dehak, Professor of Electrical and Computer […]

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No Language Left Behind

June 29, 2023

Four billion people around the world speak languages not served by Siri, Alexa, or chatbots—to the detriment of global public health, human rights, and national security. Here’s how our experts are leveraging artificial intelligence to achieve digital equity for people the world over. In 2010, an earthquake devastated Haiti. Relief workers poured in from around […]

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An AI illustration of the New York Stock Exchange done in an oil painting style.

This ChatGPT-inspired large language model speaks fluent finance

June 1, 2023

Mark Dredze, associate professor of computer science and Center for Language and Speech Processing faculty member, discusses BloombergGPT, the first large language model built specifically for the finance industry. First there was ChatGPT, an artificial intelligence model with a seemingly uncanny ability to mimic human language. Now there is the Bloomberg-created BloombergGPT, the first large language […]

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New Faculty Q&A: Daniel Khashabi

November 18, 2022

Get to know Daniel Khashabi, who joins Johns Hopkins as an Assistant Professor of Computer Science and a member of the Center for Language and Speech Processing (CLSP). Khashabi obtained a PhD from the University of Pennsylvania and a BSc from Amirkabir University of Technology (Tehran Polytechnic). Before joining Johns Hopkins, he was a postdoctoral […]

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Model moves computers closer to understanding human conversation

December 20, 2021

This story originally appeared in the Hub. An engineer from the Johns Hopkins Center for Language and Speech Processing has developed a machine learning model that can distinguish functions of speech in transcripts of dialogues outputted by language understanding, or LU, systems in an approach that could eventually help computers “understand” spoken or written text in much […]

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Center for Language and Speech Processing