A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient ...

Spread the loveLook, the future isn’t just coming; it’s already here, and it’s humming with artificial intelligence. We’re ...

Once you get passed the surface-level celebrity of Ben Affleck, you come to realize that the Academy Award-winning actor, writer and director is actually ...

Spread the loveLook, the writing’s on the wall, isn’t it? Artificial intelligence isn’t some distant sci-fi fantasy anymore; it’s here, it’s transforming industries, and frankly, it’s reshaping the ...

The Hollywood actor has revealed that he has been working with computers and machine learning for years, an interest that ...

A free web platform called ArchMap now allows researchers to map single-cell datasets onto published reference atlases and ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

NeuPerm provides a zero-retraining model sanitization method that reorders permutation-equivalent neural network units to ...

Introduction A few years ago, I was solely responsible for an in-house demand forecasting model. The scores on the validation ...

Ben Affleck is going viral for his deep knowledge of AI, from neural networks and transformers to open weights. The actor, who sold his AI filmmaking startup to Netflix earlier this year, is proving ...

A new open-source software package provides fast, modular tools for extracting interpretable cis-regulatory patterns from deep learning models of the genome.

There are effective approaches for 2D segmentation, yet 3D cell segmentation remains a critical bottleneck due to diverse cell morphologies, low signal-to-noise ratios, and data scarcity. We introduce ...