Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

Primal-dual methods in online optimization give several of the state-of-the art results in both of the most common models: adversarial and stochastic/random order. Here we try to provide a more ...

1 School of Management, University of Shanghai for Science and Technology, Shanghai, China 2 Institute of Mathematical Sciences ICMAT-CSIC, Madrid, Spain In the open capacitated location-routing ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

Drop in at a library, and you’ll likely notice that most shelves aren’t full—librarians leave some empty space on each shelf. That way, when they get new books, they can slot them into place without ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more. Google DeepMind has once again used large ...