Artificial Intelligence Makes Energy Demand More Complex — And More Achievable
Carnegie Mellon University is uniquely positioned to address growing concerns around the energy demand of artificial intelligence.
Curious Minds, Confident Mentors Drive Women’s Success in STEM
At CMU, exceptional women are advancing the frontiers of innovation and passionately inspiring the next generation of scientists, technologists, engineers and mathematicians to make their own lasting marks on the world.
CMU Doctoral Researchers Connect Beyond Disciplines in 3MT Championship
Carnegie Mellon University held the finals for its annual Three Minute Thesis (3MT) competition.
Women at the Forefront of Technology, Policy and Society
Across Carnegie Mellon University, nationally and internationally recognized women utilize their expertise across technological fields.
Through 3MT, Doctoral Students Share Accessible Research
Back for its 10th year at Carnegie Mellon University, Three Minute Thesis (3MT) is a celebration of research.
Global Decarbonization Leaders Advance Green Steel Initiatives at CMU
In an annual gathering at CMU, global decarbonization leaders worked toward tackling the challenge of decarbonizing steel production while meeting increasing world-wide demand.
CMU Rales Fellows Harness Unique Perspectives To Drive Innovation
Carnegie Mellon University is home to a diverse group of graduate students making significant strides in their respective fields, thanks to the support of the CMU Rales Fellows Program.
CMU Researchers Receive Presidential Early Career Awards
Carnegie Mellon University's Ismaila Dabo, Claire Le Goues and Aaditya Ramdas are among the recipients of the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest accolade bestowed by the U.S. government on early career scientists and engineers.
CMU and Pitt Collaborate on Neural Pathway Experiments
A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever experiment using a brain-controlled interface to determine whether one-way activity paths, long hypothesized by neural network models, are used in the brain.