Recent News
-
Making AI Smarter and Greener
CategoriesNew approach could help powerful AI models create realistic content using less energy.
-
Breaking dimensional limits in AI
CategoriesJohns Hopkins team develops a dimension-agnostic method for machine learning.
-
Researchers develop personalized therapy decision-making framework to optimize HIV treatment
CategoriesJohns Hopkins team develops a way to personalize antiretroviral therapy to reduce side effects.
-
3D printed objects help students visualize complex concepts.
-
Accelerating AI on a budget
CategoriesLuana Ruiz, a mathematician at Johns Hopkins, leads team in efficient and cost-effective approach for graph neural networks, unveiling a novel method to teach computers with small data samples.
-
Approach promises to improve accuracy of celestial object matching.
-
Innovative new method could make computer calculations more efficient.
-
Quanta Magazine features Ben Grimmer's recent study on a traditional assumption in gradient descent, revealing that breaking the rule of small steps can lead to nearly three times faster results on optimization problems.
-
Alumna and data scientist at the Johns Hopkins University Applied Physics Laboratory uses statistical hypothesis testing to determine whether a performance discrepancy in AI can be either the product of bias or random chance.
-
Associate professor, Tamás Budavarí employs "mathematical language" to investigate what could best improve the quality of life in blighted communities.
-
Faculty, postdoctoral fellow, and PhD candidate in the department will present their accepted publications at the 2022 Neural Information Processing Systems (NeurIPS) conference.
-
To a T-cell: Researchers link immune-cell activity to psychiatric symptoms in women with HIV
CategoriesWomen with HIV frequently experience neuropsychiatric disorders such as depression, anxiety, and even cognitive impairment. Until now, though, the disordered physiological mechanisms underlying such symptoms was unclear. A study by…