By Dino Lencioni Hopkins engineers combine two automated alignment methods with a human annotator to provide best combination of accuracy and efficiency. A team of Hopkins engineers has developed a method of improving cross-lingual annotation projection, a machine learning and natural language processing data creation technique that helps computers understand and process information across languages. […]
Rama Chellappa, Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering at Johns Hopkins University, has won the 2024 Edwin J. Land Medal, given by Optica and the Society for Imaging Science and Technology. Chellappa is recognized for significant contributions to image/video processing, computer vision, and related fields. The Edwin H. Land Medal, established in 1992, honors scientists […]
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 […]
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 […]
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 […]
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 […]
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 […]
