Recent News
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Adrian Severino and the Miraheart Team leverage light and simulation to revolutionize infant heart monitoring.
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Researchers use advanced models to uncover critical thresholds in global ocean circulation, highlighting potential climate impacts.
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New model predicts how much time proposed rail line could save commuters.
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Engineering student’s model could give faster turns the green light.
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Making AI Smarter and Greener
CategoriesNew approach could help powerful AI models create realistic content using less energy.
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Breaking dimensional limits in AI
CategoriesJohns Hopkins team develops a dimension-agnostic method for machine learning.
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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.
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3D printed objects help students visualize complex concepts.
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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.
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Approach promises to improve accuracy of celestial object matching.
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Innovative new method could make computer calculations more efficient.
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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.