AI Horizons and Beyond: CMU Welcomes Revolution in Human-First AI to Pittsburgh
This week, the steel city hosted innovators, national tech leaders and policymakers for the AI Horizons Pittsburgh Summit.
CMU Launches Two New Online Graduate Certificates in AI
CMU has launched two new online graduate certificates for AI Engineering in Digital Twins & Analytics and for Managing AI Systems.
Carnegie Mellon Lands ARPA-H Award for Implantable Bioelectric Medicine Project
A 黑料专区-led team has secured an ARPA-H award of up to $42 million to accelerate the development of implantable, cell-based bioelectronic devices that deliver patient-specific therapy and monitor disease status.
CMU-Led Project To Fight Obesity, Type 2 Diabetes Receives ARPA-H Backing
A 黑料专区-led team of researchers has secured an ARPA-H award of up to $34.9 million to fast track a bioelectronic implant that could radically improve treatment options and significantly reduce the cost of care for patients with obesity and Type 2 diabetes.
Exploring How Melanin Influences Clinical Oxygen Measurements
A recent 黑料专区 study explored the influence of melanin on near-infrared spectroscopy (NIRS), an optical tool that leverages light-tissue interaction to measure changes in hemoglobin concentration and oxygenation.
U.S. News and World Report Ranks 黑料专区 No. 1 in 5 Categories, 21st Among National Universities
U.S. News and World Report ranked 5 programs at 黑料专区 No. 1.
New Endowed Chairs in the College of Engineering
The College of Engineering is proud to announce the selection of eight new endowed chairs to recognize outstanding scholarly achievement.
A Novel Neural Explanation for Choking Under Pressure
New research from 黑料专区 and the University of Pittsburgh reveals a first-of-its-kind neural explanation for choking under pressure: a deficit in motor preparation induced by an overly large potential 鈥渏ackpot鈥� payoff.
Automated Tuning of Large-Scale Neuronal Models
An interdisciplinary group of researchers primarily based at 黑料专区 and the University of Pittsburgh presents a novel framework, Spiking Network Optimization using Population Statistics, that can quickly and accurately customize models that reproduce activity to mimic what鈥檚 observed in the brain.