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This week in AI & Machine Learning: A deep learning model that could revolutionize drug discovery, AI that learns like an infant, and impressive, ML-powered headphones.
Taking the first step toward more data-centric AI is as simple as recognizing the immense value your data holds and the value inherent in curating it carefully. But centralizing and systematizing your approach to AI isn’t enough—nor is it enough to focus on updating and testing the models you deploy at the expense of data quality. Even better than a data-centric approach to AI is a data-driven approach, one that focuses on both the quality of the data collected and the efficacy of the models this data is used to train.
Plainsight Deepens Relationship with Google Cloud to Empower Enterprises with Production-ready Computer Vision Solutions
Google Cloud customers can now centralize complete, end-to-end control and management of their vision AI workflows with fully-integrated capabilities in one intuitive interface and unmatched Google Cloud scalability and security for reliable and consistent vision AI solutions.
This week in AI & Machine Learning: a how-to for Classification Models, the ethics of emotion-detection AI, a better way to capture lightning and more
Converging concepts of edge computing, IoT, machine learning (ML), AI, and computer vision, are working in concert to unlock the long-held promise of digital transformation across markets.
While phones do offer some simple tags to help users sort through their personal archives, computer vision classification models offer an easy and effective way of creating custom, highly-specialized models that can help to categorize visual data with highly personalized labels.
This week in AI & Machine Learning: a formal definition of Vision AI, the environmental costs of AI, DALL-E and more!
In this post, we’ll define vision AI, what it means for different businesses and stakeholders, and how any user can get started executing their computer vision project today.
Data Annotation for Computer Vision
Feb 8th 2022 | Labeling Tutorial
Detecting Unwanted & Hazardous Objects
Oct 26th 2021 | Computer Vision
Dew-able AI: Solving the Mountain Dew Super Bowl Challenge
Feb 13th 2021 | Computer Vision