Applications of Deep Learning for Computer Vision

01.10.2021

Deep Learning + Computer Vision

Computer vision technology powered by Deep Learning (DL) provides real-world value across industries. Such intelligent technologies have been around for a few years, and it’s finally coming of age and rising in prominence.

In fact, computer vision is precisely what makes driverless cars possible. However, there’s a myriad of possibilities and use cases, including the augmentation of human sight.

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Artificial intelligence for efficient support in translation work

23.09.2021

AI + Translations

Artificial Intelligence (AI) is becoming an ever more important part of our lives. Whether it is in our homes with smart speakers and automation or in the business world, its impact in our lives cannot be dismissed.

However, while the benefits of AI are obvious, in the past, using the technology with language translation was difficult, if not impossible. Language translation is an area that has always required human intervention. There’s simply too much nuance in language for a machine to understand without a lot of training, most often done painstakingly by hand.

In recent years, that situation has started to change. With new advances in Machine Learning (ML) along with the development of neural networks, this once-difficult task is now much more possible.

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Object Detection and Segmentation

14.09.2021

object detection

In recent years, object detection and segmentation have accelerated significantly. Today, smart algorithms can find and classify countless individual objects within a video or an image. Although it was incredibly difficult for machines to do, it’s now part of our daily existence.

Both object detection and segmentation are powered by Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In this scenario, convolutional neural networks can locate and identify the class each item belongs to within an image.

It has also evolved to be much more than an intelligent algorithm that can recognize objects in photographs stored in a database. It can now find and classify objects in real-time to enable things like self-driving autonomous vehicles and more.

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The Process of AI Training

02.09.2021

The Process of AI Training

When most people think about artificial intelligence (AI), they think of two possible futures. A positive future where self-driving cars help us navigate our roads and robot servants help us maintain our homes. Or a more negative one, where machines take away our jobs and employment.

Fortunately, it looks like the negative future isn’t one that we have to worry about. AI systems won’t replace humans in the workforce, but rather they’ll exist alongside humans as invaluable sidekicks. While self-driving cars are well on their way to reality, some of our other grandiose goals for AI are still waiting for fruition, however, before we get there, more work needs to be done.

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How Does Face Detection Work?

21.07.2021

Face Detection

Face detection technology has come a long way over the past few years. From unlocking your iPhone by scanning your face to automatically tagging photographs, most of us have encountered and benefited from it (in one way or another).

However, there’s a lot more we can do with technology than just recognizing faces. For example, it is now a tool used in marketing to help improve sales and customer experiences. Or you can use this technology in offices to mark employee attendance or provide access to secure areas automatically..

But before we get ahead of ourselves, let’s define it.

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