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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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 ...

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 ...

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

French scientists have developed a dataset to enable the creation of installation registries, by extracting small-scale PV metadata from overhead imagery. It can be used to provide training data for ...

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 ...