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This is how humans and artificial intelligence work to create AI developments too

Artificial intelligence. (photo: VentureBeat)

platform artificial intelligence (AI) Geti enables human teams ranging from data scientists to domain experts to improve their ability to rapidly develop production-ready artificial intelligence (AI) models.


“It is a step forward in simplifying the tasks of annotating, training, optimizing and deploying computer vision models. They accomplish this with a powerful set of features and an intuitive user interface,” said Intel CEO, Pat Gelsinger.

Therefore, developers of the Intel company, which created the idea, can use this help to speed up the times in their investigations.


Key Platform Features

Geti includes multitasking support to automate segmentation, classification, rotating object detection, or anomaly detection; In addition, it has a smart annotation option with extensive drawing options.


Likewise, it has active learning using interactive artificial intelligence where humans participate in the process, which helps to automate data annotation and minimize the data training required.

Also, you can easily chain multiple tasks together to develop a detailed model without having to code any steps during pre- or post-processing.

Illustration of an Artificial Intelligence. (photo: Europe Press)
Illustration of an Artificial Intelligence. (photo: Europe Press)

This AI was tested at the Royal Brampton Hospital in England

The Royal Brompton Hospital is one of London’s leading heart and lung medical centers and it was there that the new computer vision platform helped doctors train artificial intelligence algorithms to detect a rare disease: primary ciliary dyskinesia (PCD). ).

Primary ciliary dyskinesia (PCD) is a rare inherited disorder that damages a person’s cilia, tiny hair-like structures that line the airways and help protect them from infection. “PCD is one of the most difficult diseases to diagnose,” he says. claire hogg, professor of pediatric respiratory medicine at the hospital.

Primary ciliary dyskinesia. (photo: Royal Brompton Hospital)
Primary ciliary dyskinesia. (photo: Royal Brompton Hospital)

“The process requires the specialized skills of cell biologists, cell physiologists and clinicians to interpret the results of several complex tests. So we are looking at ways to automate key parts of the diagnostic process using artificial intelligence,” she added.

In this context, the artificial intelligence training platform Getiwhich can be used by anyone:

“Since human cilia have remained structurally unchanged for millennia, recognition of abnormalities is an easy task for machine learning algorithms,” he says. Hog. In addition, he continues, “because the Geti platform works in a continuous feedback loop with human experts, it can learn to deduce what they are looking for. She is already one more of the team ”, she concluded.

How to learn marketing with technology

On October 5 and 6, the second version of Revenue Day 2022 will be held, a digital event on technology and entrepreneurship. It is estimated that more than 3,000 people will participate in this opportunity.

Revenue Day is the first event in Latin America that brings together business leaders with experience in the areas of Revenue, Sales, Marketing and Customer Success. Through an all-in – one digital platform, the event, in addition to live talks, will bring a networking opportunity.

“We will have around 20 hours of content, a virtual expo so that sponsors can share their products and services, a networking space, more than 40 speakers, participants connected from more than 35 countries and the opportunity to learn about strategies, methodologies of work, optimization, performance indicators and best practices,” said Felipe Ortiz, CEO of Revenue Day.

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