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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MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...

FHIBE was created to address issues with current publicly available datasets that lack diversity and are collected without consent, which can perpetuate bias and present a persistent challenge to AI ...

When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the ...

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.

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 ...