Abstract: Random noise attenuation is an essential step to improve the signal-to-noise ratio (SNR) of seismic data. Deep learning for seismic data denoising is dominated by supervised methods that ...

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...

Abstract: The problem of power control for the uplink and the downlink in cell-free massive multiple-input multiple-output (CF mMIMO) systems is considered in this paper. In order to achieve a balance ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single uniform substance, but a constantly shifting mixture of two distinct ...

PROVIDENCE, R.I. (AP) — Computer scientist Louis Castricato was in his eighth year studying large language models — the ...

A week inside a grueling Muay Thai training program in Phuket.

All told, nearly half of all global venture funding went to companies in AI-related fields in 2025, making artificial intelligence by far the leading sector for startup investment. The momentum around ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ML-driven cell-based assays.

Companies are aggressively marketing home medical kits containing prescription antibiotics and other drugs for self-treatment ...

Drew Bivona, attorney and founder of Bivona Law, shares essential pool-safety tips every Houston family should know.