Convergent evolution—where distinct species independently evolve similar traits or functions, such as the wings of birds and ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

In a recent study published in the journal Nature Biomedical Engineering, a group of researchers demonstrated the use of deep learning to resurrect antibiotic peptides from extinct organisms, ...

Deep learning-based contouring of multiple brain metastases eases clinical workload when planning stereotactic radiosurgery ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.

Hassabis, a neuroscientist recognized for his groundbreaking work on AI-driven protein folding models, pointed to the growing need for individuals to master the process of learning itself.

AI cheats not because it’s broken, but because it has learned our own bad habit: rewarding what feels good over what is true.

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