Marktechpost

JULY 17, 2023

Computer vision enables computers and systems to extract useful information from digital photos, videos, and other visual inputs and to conduct actions or offer recommendations in response to that information. The system analyzes visual data and recognizes a specific object in a picture or video. Identification of the item.

Computer Vision 98

Computer Vision Neural Network Machine Learning Deep Learning 98

Snorkel AI

JULY 6, 2023

Synthetic data in the way that I will be speaking today is data that is generated from the digital world that you can create using some graphics tools. And from there, you’re able to get realistic data that looks like the one in the picture. The following is a transcript of her presentation, edited lightly for readability.

AI 59

AI AI Neural Network Deep Learning 59

Snorkel AI

JULY 6, 2023

Synthetic data in the way that I will be speaking today is data that is generated from the digital world that you can create using some graphics tools. And from there, you’re able to get realistic data that looks like the one in the picture. The following is a transcript of her presentation, edited lightly for readability.

AI 59

AI AI Neural Network Deep Learning 59

Mlearning.ai

FEBRUARY 24, 2024

Most of you have already captured some pictures of a board at school. Most of those pictures will obviously end up in the forgotten realm. Either because you were too lazy to write down what was written on the board, or you were in a hurry and had to take quick notes. For the time being, we are dealing with one board.

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Computer Vision Algorithm AI AI 52

Marktechpost

SEPTEMBER 17, 2023

Zao Our top pick is Zao, a mobile deepfake tool that has proven exceptionally good at replacing faces in films. Reface When it comes to face swapping and morphing, Reface shines, making it one of the best deepfake tools available. Reface makes it simple for users to pick a face as a target and then smoothly insert it into a video.

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Artificial Intelligence Artificial Intelligence Neural Network AI 127

The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Quite fun, quite chaotic at times.

ML 52

ML Data Scientist Machine Learning Data Science 52

The MLOps Blog

AUGUST 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Stefan: Yeah. Thanks for having me.

ML 52

ML Data Scientist Software Engineer Machine Learning 52