In: Machine Learning and Artificial Intelligence

Blue and red rendering of brain neurons.

Neural Systems Analysis Laboratory papers accepted to major conferences

The papers were penned by five doctoral candidates – Ravi Shankar, Jeff Craley, Sayan Ghosal, Niharika Shimona D’Souza, and Naresh Nandakumar – and were accepted to two different conferences.

A close-up of a wall of computer code.

Malone team wins Provost’s DELTA grant for new course on AI in healthcare

Research team from the Malone Center has been awarded a DELTA grant from the JHU’s Office of the Provost to develop an online course about machine learning aimed at those working in the healthcare research field.

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...