By Dino Lencioni Two Johns Hopkins electrical and computer engineering and CLSP faculty members briefed congressional staff at the Hopkins Bloomberg Center on Aug. 4. Hosted by the Johns Hopkins Data Science and AI Institute, Engineering Lifelong Learning, and the Office of Federal Strategy, the session focused on advances and risks in AI systems that […]
Johns Hopkins Data Science and AI Institute (DSAI) has welcomed 22 new faculty members university-wide, including several with appointments in the Center for Language and Speech Processing. This cohort expands CLSP’s depth in data science, machine learning, and artificial intelligence, accelerating translation to critical and emerging fields. See the full list here.
Johns Hopkins researchers show how different “odds” can teach AI models to admit when they’re not confident enough in an answer. By Jaimie Patterson In high-stakes situations like health care—or weeknight Jeopardy!—it can be safer to say “I don’t know” than to answer incorrectly. Doctors, game show contestants, and standardized test-takers understand this, but most artificial […]
By Dino Lencioni Two papers co-authored by Sanjeev Khudanpur, an associate professor of electrical and computer engineering (ECE) and a member of the Center for Language and Speech Processing (CLSP), were recognized by IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) as among the most impactful in the conference’s 50-year history. Originally published in 2015 and 2018, the […]
By Dino Lencioni Johns Hopkins electrical engineer Mounya Elhilali relies on federal funding to push the boundaries of how technology can enhance human perception With support from the National Institutes of Health, Johns Hopkins electrical and computer engineer Mounya Elhilali is developing a smart digital stethoscope aimed at revolutionizing pulmonary diagnostics—particularly pediatric diagnostics that would help prevent […]
Berrak Sisman joined Johns Hopkins this month as an assistant professor in the Whiting School of Engineering’s Department of Electrical and Computer Engineering and a member of the AI-X Bloomberg Distinguished Professorship Cluster. She leads the Speech & Machine Learning (SMILE) Lab, advancing neural models for speech information processing. Internationally recognized for her work in deep learning, speech synthesis, […]
By Dino Lencioni New tool analyzes and addresses cultural disparities across language versions, paving the way for more balanced information Cultural and social biases significantly influence Wikipedia’s multilingual content, according to a team of researchers that includes a computer scientist from Johns Hopkins University. By creating and deploying a new tool called INFOGAP, the researchers […]
