In: Machine Learning and Artificial Intelligence

Headshot of Archana Venkataraman.

Venkataraman named in ‘MIT Technology Review’ list of top innovators under 35

The MIT Technology Review lauded her work on detecting and pinpointing the sources of epileptic seizures in the brain as “groundbreaking.”

A student explains their deep learning poster, "Occlusion R-CNN for Human Detection," to onlookers.

Hopkins course explores artificial intelligence and deep learning

Machines are now predicting stock market changes, detecting cancer, translating documents, and even composing symphonies—all thanks to an exciting new subset...

Headshot of Archana Venkataraman.

Archana Venkataraman receives NSF CAREER award

Archana Venkataraman, a John C. Malone Assistant Professor in the Department of Electrical and Computer Engineering, has been chosen by the...

Headshot of Archana Venkataraman.

Venkataraman wins NSF award to develop mathematical framework for brain modeling

The National Science Foundation (NSF) has awarded John C. Malone Assistant Professor Archana Venkataraman $875,000 in grant funding to support a...

Daytime shot of Malone Hall.

Malone professors awarded NSF grant to investigate human-machine teaming in health care

The list of U.S. health care challenges is long and costly. The country spends more than $3 trillion dollars on healthcare...

A graphic of an eye overlaid with green and blue Matrix code.

Johns Hopkins research points to increasing role of artificial intelligence in medical imaging and diagnostics

The advent of electronic medical records with large image databases, along with advances in artificial intelligence with deep learning, is offering...