Cutting edge performance

Clarifai gRPC is built to deliver lightweight microservices. This is one of the keys to Clarifai Amada’s ability to load and balance thousands of different instances of machine learning models, and deliver MLOps at scale. …

By Jeff Toffoli

2021 is off to a strong start here at Clarifai. Our global team of designers, researchers and engineers is proud to introduce Clarifai Release 7.1. …

By Scott Clark, Senior Research Scientist at Clarifai

Deep learning (DL) has seen an explosion of activity in the last 20 years. Thanks to the internet and the investment of companies like Clarifai and NVIDIA, advances in deep learning are taking place every year, particularly so in the fields of…

ML in Modern Storytelling

By Team Clarifai

With over a billion uploads and over 5 million writers contributing every month, evaluating and sorting stories has become impossible for Wattpad to do manually.

This becomes particularly evident when you consider how complex stories are to begin with. There are a diverse set of building blocks that make up…

Industry 4.0 has been here for a decade and is developing in parallel with the fast-paced innovations in the field of Artificial Intelligence (AI) industry. At our recent Perceive 2020 conference, Qian Lin, Ph.D. of HP discussed the latest research in deep learning for visual inspection.

In comparison with industry…

By Jeff Toffoli

We are retiring our OCR model and have replaced it with a new and improved Visual Text Recognition (VTR) workflow. The new workflow separates the components of text recognition so that you can work with detection, cropping and text recognition as individual components in your projects.

By Jeff Toffoli

Clarifai Release 6.10

We’re excited to announce version 6.10 of the Clarifai platform. We are releasing a new Swift client so that you can now easily integrate Clarifai services on iOS devices, the Clarifai API Collection has been released publicly on Postman, plus we are introducing a ton of new…

By Team Clarifai

At our recent Perceive 2020 conference, Dr. Michela Paganini of Facebook AI Research discussed the latest research in neural network pruning. Pruning means cutting off the unnecessary connections in the neural network to reduce its size. …

1) Face Alignment problem in face recognition

Face alignment is the process of accurately localizing the set of nodal points that defines the shape of the face when the algorithm is provided with RGB or grayscale images. These nodal points correspond to facial features such as nose, eyes, lips, etc. The common approach for face recognition is…

Thomas Molfetto

Product Marketing, Clarifai

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