An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...

Recently there has been a reemergence of interest in optical computing platforms for artificial intelligence-related applications. Optics/photonics is ideally suited for realizing neural network ...

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CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research explains how to get the raw source CIFAR-10 data, ...

A new Apple research paper argues that AI imaging editors are currently trained on inadequate image sets — so Apple Intelligence researchers have released an improved one.

A research team has developed ChatLeafDisease (ChatLD) — a training-free crop disease classification framework built on the GPT-4o large language model (LLM) with Chain-of-Thought (CoT) prompting.

Josh Grossman provides a brief overview of what the ASVS is, but takes a closer look at balancing trade-offs and prioritizing different security requirements. Josh shares how to make the process ...