At the Mount Sinai Health System we have successfully translated many algorithms from concept to testing and clinical care, ...

Artificial intelligence, particularly its generative variant, is rapidly transitioning from a futuristic concept to a present-day disruptor ...

Some numbers are so unimaginably large that they defy the bounds of modern mathematics, and now mathematicians are closing in ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

To solve the problem, we design an iterated greedy algorithm with a decomposition-based strategy. Concretely speaking, to cope with the large search space due to massive demands, a filtration ...

Google’s surface code algorithm, while effective at correcting errors, requires on the order of 100 qubits to store a single logical qubit in memory.

A.I. is threatening entry-level jobs.Virtually all jobs will experience some impacts, but office jobs are expected to feel the biggest crunch: Our research suggests that professionals with more ...

Deep tech 5 impressive feats of DeepMind’s new self-evolving AI coding agent AlphaEvolve is a coding agents that improves the abilities other AI systems May 14, 2025 - 3:46 pm ...

A new system that combines Gemini’s coding abilities with an evolutionary approach improves data center scheduling and chip design, and fine-tunes large language models.

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix multiplication algorithm that had eluded human mathematicians since Strassen ...

In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the flexible job ...