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 […]
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 […]
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 […]
Department of Electrical and Computer Engineering (ECE) graduate student Rajeev Yasarla and ECE Associate Professor Vishal Patel have won the best paper award at the 2021 IEEE International Conference on Image Processing (ICIP) for their paper titled “Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty.” In the paper, Yasarla and Patel – who is a member of […]
This story originally appeared on Meta AI, and was written by Ritika Trikha. How far are we from universal translation, the “holy grail” of machine translation (MT), where everyone in the world can understand every language in real time? We sat down with Philipp Koehn, a Meta AI research scientist, author of Statistical Machine Translation andNeural Machine […]
This story originally appeared in the Hub. Artificial intelligence has reached a point where it can compose text that sounds so human that it dupes most people into thinking it was written by another person. These AI programs—based on what are called autoregressive models—are being successfully used to create and deliberately spread everything from fake […]
