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convolutional neural network

techniqueactiveconvolutional-neural-network-36adf86c·3 events·first seen 1mo ago

Aliases: convolutional neural network

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6The Batch·1mo ago·source ↗

Two Studies Test Google's Breast Cancer Detection Models in Real-World Clinics

Two studies evaluated Google's mammography AI system—introduced in 2020 but not yet deployed for live patient care—against real-world UK NHS clinical workflows. In retrospective testing on 116,000 scans, the system achieved higher sensitivity (0.541 vs 0.437) than the first human reader while identifying 25% of cancers initially missed by doctors. A live integration test across 12 clinics showed the system processed scans in under 18 minutes versus over two days for human readers, with comparable accuracy, though some clinicians reported distrust of the system's outputs.

6Openai Blog·28d ago·source ↗

Image GPT: Transformer Models Applied to Pixel Sequences for Image Generation and Classification

OpenAI demonstrates that a large transformer model trained autoregressively on pixel sequences can generate coherent image completions and samples, analogous to text generation. The work establishes a correlation between generative sample quality and downstream image classification accuracy. The best generative model achieves features competitive with top convolutional networks in the unsupervised setting, suggesting shared representational principles across modalities.

7The Batch·15d ago·source ↗

Google's AlphaGenome Interprets Non-Coding DNA That Regulates Genetic Expression

Google has released AlphaGenome, an open-weights model that interprets the ~98% of human and mouse genomes that regulate gene expression rather than coding for proteins. The model takes up to 1 million DNA base pairs as input and outputs roughly 6,000 human and 1,000 mouse gene properties, using a CNN-transformer-CNN architecture trained via ensemble distillation from 64 pretrained models. Across 50 evaluations, AlphaGenome matched or exceeded prior models in 47 cases, and correctly predicted expression changes associated with T-cell acute lymphoblastic leukemia. Weights, API, and inference code are freely available for noncommercial use.