We love teaching. That is why we hold internships and schools, organize applied computer vision meetups, and deliver open lectures at universities. Until autumn 2020, our audience mainly included students, interns, and developers, but now it also has Kharkiv university teachers on the list.
For more than 50 years, CES has been the global stage for innovation. And the all-digital CES 2021 will continue to be a platform to launch products, engage with global brands and define the future of the tech industry. An all-digital CES 2021 will allow the entire tech community to safely share ideas and introduce the products that will shape our future.
A winter internship on computer vision is coming! February 1-28, 2021: one intense month of solving practical CV tasks under the supervision of It-Jim specialists Full-time engagement Bonus: possible employment after successful graduation If you: ✔️have confident knowledge of linear algebra and C++/Python ✔️have pre-intermediate or higher English level ✔️want to boost skills in CV/ML, fill in this registration form until January 10, 2021.
While 2020 has shown us that new year resolutions might not work, we do not think anyone should give up making a clear vision for the upcoming year. Especially if there is a “become a computer vision engineer” on the list. Nope, we can not tell for sure what 2021 will be like.
What is your first thought when you hear about computer vision (CV) in fashion? Or, what is the first thing that pops into your head when you hear about deep learning fashion? Let us guess – online clothing shopping or virtual try-on applications? Well, this might be surprising but deep fashion is not a far future anymore.
Artificial intelligence (AI) and machine learning (ML) are being progressively used across different sectors including healthcare. One of the AI-powered tools is computer vision (CV), the ability to recognize, interpret, and process visual data. Thus, potential applications of computer vision in the medical field are multifold, from image processing and predictive analysis to automated health records. All this enables improving the quality of delivered medical services and the healthcare administration system.
We are happy to present our starter pack course in computer vision for ML/DL engineers and software developers who want to dive into the world of visual intelligence! Very short (2 lectures and 2 workshops), but extremely useful content created by It-Jim team. Kudos to Pavlo Vyplavin, our brain center and CTO, who accepted the challenge.
A century ago, the very thought of machines being able to think, make complicated calculations, and come up with effective solutions to pressing problems was more of a figment of science fiction writer’s fantasy rather than a foreseeable reality.
Video is an extremely popular way to represent information. Indeed, sometimes it is enough to watch a short clip instead of long listening or reading about complicated technical concepts. From a user’s point of view, a video is just a sequence of images followed one-by-one with a very short inter-frame interval. Typically it has around 30 frames per second (FPS). However, many things are left inside the box.
Long time no meetup, right? We’re fixing it with our joint online event with Sigma Software University on October 28 😉 Computer vision for faces… One of our favorite topics! Today, almost every image and video contain faces (thank you, selfies!), and computer vision and deep learning algorithms become a common thing in face processing.
