News

Autonomous system devised by a Johns Hopkins doctoral student IDs and treats internal bleeding to prevent pre-hospital deaths when minutes matter.

On March 28, the Data Science and AI Institute hosted an event celebrating Women’s History Month with leading women in the fields of data science and AI.

Researchers at Johns Hopkins Kimmel Cancer Center have developed ARTEMIS, a machine learning method for identifying cancers from repeat elements of genetic code.

Researchers at JHU’s Applied Physics Laboratory are developing a tool that employs a brain-like artificial neural network to monitor an individual’s sleep in real time. The effort aims to optimize the stages of sleep that are crucial for overall health and cognitive prowess.

Cellphone videos are often the first to capture news events. Johns Hopkins researchers are developing a tool to make that footage more searchable and contextualized.

An automated detection tool developed by Johns Hopkins researchers could help ER doctors diagnose patients quickly and accurately.

The directorate supports research in all areas of computer and information science and engineering, as well as advanced research cyberinfrastructure necessary for discovery in all science and engineering fields.

Chellappa is honored for seminal contributions to the theory and practice of image/video processing and computer vision arenas resulting in inventions, technologies, and systems that have improved the lives of many worldwide.

Applications range from movie production to robotic navigation systems.

Using ChatGPT isn't always cheating. A new collection of AI-assisted writing assignments co-edited by University Writing Program lecturer Carly Schnitzler offers teachers practical ways to incorporate AI into their work while setting ground rules for its use.

Hopkins researchers have leveraged the synergy between medical professionals and artificial intelligence algorithms to create the largest annotated multi-organ dataset to date.

Johns Hopkins team develops a dimension-agnostic method for machine learning.

Johns Hopkins Children’s Center investigators say AI-driven cameras that take images of the back of the eye and require no eye drops can be used to close care gaps.

The Data Science and AI Institute has selected three recipients for the 2024 Junior Faculty Awards.

Systems could power energy-efficient, real-time machine intelligence for next-generation autonomous vehicles, robots.

Sens. Mark Warner and Todd Young advocate for artificial intelligence policies during a Hopkins Bloomberg Center discussion while leading Johns Hopkins University experts caution against stifling innovation. Johns Hopkins University event panelists included, K.T. Ramesh and Rama Chellappa, interim co-directors of the Johns Hopkins Data Science and AI Institute.

AI researcher and engineer explains how he’s using AI tools and why we need AI regulation.

Health care professionals are increasingly using AI to better diagnose and treat serious medical conditions. However, with the use of AI in medicine growing, there are concerns among medical ethicists about how emerging technologies should be deployed, featuring JHU Professor and Data Science and AI Institute Director of Health and Medicine, Natalia Trayanova.

Johns Hopkins and Columbia University computer scientists combat the inaccurate correlations that artificial intelligence learns from text data.

The Data Science and AI Institute, in collaboration with the Office of the Dean of the Krieger School of Arts and Sciences, has selected six teams for the inaugural AI-informed Discovery and Inquiry Seed Grants.

Johns Hopkins joins the U.S. AI Safety Institute Consortium (AISIC) of 200+ AI leaders in academia, government, industry, and civil society, led by the National Institute of Standards and Technology (NIST).

Johns Hopkins researchers have created a generative deep neural network called Diff-Pitcher, which seamlessly corrects out-of-tune singing while maintaining original vocal qualities.

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, reports The Daily Record.

Johns Hopkins ambitious plan to build a Data Science and AI Institute with the goal of positioning Hopkins, and subsequently Baltimore, as the nation’s foremost destination for data science, machine learning and AI, reports The Baltimore Banner.

Johns Hopkins team develops a new algorithm that can create 'super-scans' of the brain

Astronomers and physicists are using machine learning to process data sets from the universe that were too immense to touch before, says Brice Ménard, an astrophysicist at Johns Hopkins

Johns Hopkins computer scientists introduce a new method to reduce the size of multilingual language models.

The Johns Hopkins University Discovery Awards focus on cross-university, faculty-led research and discovery. These awards of up to $100,000 are intended to spark new interactions among faculty from across the university. Faculty teams use these funds to get started while they seek an externally funded large-scale grant or cooperative agreement.

Over the last decade, the BDP program has charted an innovative course for interdisciplinarity in research and scholarship at Johns Hopkins and in higher education. Now Hopkins’ impact will be further enhanced by incorporating BDPs as a signature element of our new initiative to harness emerging opportunities and address challenges presented by the explosion of available data and the rapid rise of AI technologies.

Their tool employs a historical model that weighs the relative importance of eight statistical categories to determine which players have the best chance to take home MLB's top awards.

The Johns Hopkins Institute for Assured Autonomy, the Department of Mechanical Engineering, and the APL Space Exploration Sector have joined forces to create an exciting new faculty position focused on the assurance of autonomy for space systems.

Johns Hopkins cybersecurity expert Anton Dahbura discusses the sweeping order meant to harness the potential—and anticipate the risks—of artificial intelligence.

Most online art generators are purported to block questionable content. But Hopkins researchers manipulated two of the better-known systems to create exactly the kind of images they are supposed to exclude.

The Maryland Department of Commerce announced that it has awarded $1 million in support of the Center for Digital Health and Artificial Intelligence, also known as CDHAI, housed at the Johns Hopkins Carey Business School.

Experts at Johns Hopkins University’s AI-X Foundry Fall 2023 Symposium reveal the potential of artificial intelligence and of the institution’s unprecedented investment in data science and AI.

Panelists discuss the pros and cons of using generative chatbots like ChatGPT in the classroom, express optimism that AI can ultimately enhance learning.

Johns Hopkins researchers demonstrate the promise of ‘augmented endoscopy,’ a real-time neurosurgical guidance method that uses advanced computer vision techniques.

Deep-learning technology developed by a team of Johns Hopkins engineers and cancer researchers can accurately predict cancer-related protein fragments that may trigger an immune system response.

A new data science and translation institute will bring together experts from a wide range of disciplines to capitalize on the rapidly emerging potential of data to fuel discovery across the university.

Discovery by team of Johns Hopkins researchers could enable the development of therapies for cancer or other genomic diseases by activating genes on demand.

Inspired by journalists, Hopkins researchers discover a new technique to ground a large language model’s answers in reality.

Artificial intelligence is becoming more common, but that doesn’t mean it’s always reliable, argues AI expert Anton Dahbura.

The winning proposals will receive up to $75,000 each to help innovate learning through technology.

Johns Hopkins and NVIDIA researchers teamed up to pioneer Neuralangelo, a revolutionary 3D reconstruction algorithm with applications in virtual reality, autonomous systems, and more.

The project aims to find new therapies for heart disease by studying the effects of stimulating nerves.

Carey Business School researchers aim to develop broadly applicable principles and insights to incorporate AI into the doctor’s office and other health care settings.

The Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research announces its second round of grant funding, totaling just over $1 million, to support AI technologies that will improve the long-term health and independence of older adults.

The annual Conference on Health Information Technology and Analytics (CHITA) sparks ideas for the not-so-distant future of high-tech health care delivery.

The research will advance understanding of how to assure image-based surgical autonomy by enabling humans to make better decisions.

Visualizing connections between nerve cells in the brain could yield insights into how our brains change with learning, aging, injury, and disease.

Leading artificial intelligence experts gather on Johns Hopkins University’s Homewood campus to grapple with the complexities and opportunities that AI and data science bring to higher education.

Artificial intelligence analysis of thousands of posts from the popular online forum reveals that those who vape are concerned about e-cigarettes’ possible impact on a range of health issues.

Technologies such as ChatGPT could improve patient experience by providing responses to health care questions that are more accurate and appear more empathetic than those from human doctors.

“In terms of public consciousness of AI, we are at an inflection point,” says Cara LaPointe, co-director of the Johns Hopkins Institute for Assured Autonomy.

To eliminate tax loopholes that cost the federal government billions of dollars every year, tech and law experts are working together to create artificial intelligence software that can find loopholes better than a legion of blue-chip tax accountants.

Johns Hopkins researchers found that algorithms trained on manufactured data can be even better than the real thing for important surgical tasks like X-ray image analysis or giving a robot the ability to detect instruments during procedures.

Engineering undergraduate and master’s-level students are working with a physician at JHU’s School of Medicine to develop AI algorithms that can detect early warning signs of delirium and identify patients at high risk of developing the condition in the ICU.

Jim Bellingham, executive director of the Johns Hopkins Institute for Assured Autonomy, discusses the potential to use AI to track and mitigate the effects of climate change ahead of a presentation at the South by Southwest Conference on March 15.

From Alexa to a robot running amok in the movie ‘M3GAN’, artificial intelligence is part of everyday life and is capturing our imagination. Johns Hopkins AI expert Rama Chellappa helps us sort out fact from fiction, and whether we should embrace the ‘AI spring’.

Johns Hopkins University hosted a live virtual briefing on Feb. 14 examining the latest developments in artificial intelligence.

Scholars from Johns Hopkins and UPenn discuss the promising applications—and potential pitfalls.

40 top scholars came together to explore how data science, machine learning, and concepts from complex adaptive systems can help humans understand the various ways structural racism affects people and health outcomes.

A panel of experts discussed the future of AI in technology and health care, as well as ethical concerns about the technology, during Johns Hopkins Congressional Briefing Series.