#computer_vision

[phonemantra-blog]

The Botkin.AI medical image analysis system will be thoroughly checked For the first time, Roszdravnadzor has suspended the use of a medical platform using artificial intelligence (AI), as reported by Kommersant . We are talking about the Botkin.AI medical image processing and analysis system, which helps detect pathologies in computed tomography images. According to the department, the use of Botkin.AI was suspended “due to the threat of harm to the life and health of citizens.” The Botkin.AI platform received a registration certificate in 2020; it was developed by the Intellogic company with attraction of more than 250 million rubles of investment from a number of venture funds, including those belonging to Rosatom, the Ministry of Industry and Trade, R-Pharm and Tashir. The developers then claimed that the Botkin.AI system was integrated into the Unified Radiological Information System of the city created by the Moscow City Hall to help detect lung cancer. Roszdravnadzor banned the use of a medical platform with artificial intelligence [caption id="attachment_84098" align="aligncenter" width="780"] artificial intelligence[/caption] The Moscow Department of Health told reporters that the Botkin.AI platform is not used in medical institutions of the capital, but as part of the experiment it is used by more than 50 other AI services that identify signs of pathologies in 28 clinical areas. For example, as we have already written , a system is used to make a final diagnosis for a patient using AI, although the final decision still remains with the doctor. Journalists were able to receive a number of comments regarding the suspension of the use of Botkin.AI: for example, Tashir Medika reported that they are aware of this and understand the reasons, and Unicorn Capital Partners (the management company of the venture fund of the Ministry of Industry and Trade) emphasized that some or the threat of the system causing harm to the life and health of citizens is “completely excluded.” Medical products with AI belong to a high, third class of risk, so Roszdravnadzor pays close attention to them, and the suspension of the use of such a platform may last until all concerns are eliminated.

[edujournalblogs]

An introduction to Computer Vision

Computer Vision with deep learning is another advanced technique that employs neural networks to process and analyze visual data, such as images and videos. With deep learning, Computer Vision has become more accurate and sophisticated, enabling machines to perform highly accurate tasks such as object detection, image recognition, facial recognition, and scene segmentation. CNNs are the most commonly used deep learning models in Computer Vision because they can extract features from images and learn spatial relationships between objects.

Computer Vision applications based on deep learning have numerous practical applications in various industries, including healthcare, automotive, retail, and security. Some examples include self-driving cars, medical image analysis, surveillance systems, and augmented reality. The advancements in deep learning have enabled machines to understand the world through visual data, making computer vision an essential component in developing intelligent systems.

Check out our master program in Data Science and ASP.NET- Complete Beginner to Advanced course and boost your confidence and knowledge.

URL: www.edujournal.com

[jobrxiv]

Postdoctoral Fellowships in Computer Vision, Khalifa University, UAE Computer Science Department, Khalifa University See the full job description on jobRxiv: https://jobrxiv.org/job/khalifa-university-27778-postdoctoral-felloships/?feed_id=92583 #computer_vision #deep_learning #ScienceJobs #hiring #research

[obopuxepav-blog]

MIT’s New Chip helps Driverless Cars to see-through Fog and Dust

[commentsense888]

Computer vision by wiscwisc https://www.reddit.com/r/ProgrammerHumor/comments/98smxe/computer_vision/?utm_source=ifttt

[santo-antonio]

https://en.wikipedia.org/wiki/Gesture_recognition

https://en.wikipedia.org/wiki/3D_pose_estimation#From_a_calibrated_2D_camera

https://en.wikipedia.org/wiki/Pose_(computer_vision)

https://en.wikipedia.org/wiki/Articulated_body_pose_estimation

https://en.wikipedia.org/wiki/Motion_capture

https://en.wikipedia.org/wiki/Gait_analysis

[hackernewsrobot]

Have We Forgotten about Geometry in Computer Vision?

http://alexgkendall.com/computer_vision/have_we_forgotten_about_geometry_in_computer_vision/ Comments

[ankaapmo]

Deep Dive Into Computer Vision With Neural Networks: Part 1 - #Ankaa

Deep Dive Into Computer Vision With Neural Networks: Part 1 Machine vision, or computer vision, is a popular research topic in artificial intelligence (AI) that has been around for many years. However, machine vision still remains as one of the biggest challenges in AI. In this article, we will explore the use of deep neural networks to address some of... https://ankaa-pmo.com/deep-dive-into-computer-vision-with-neural-networks-part-1/ #Artificial_Intelligence #Computer_Vision #Deep_Learning #MachineLearning #Neural_Networks #Trends

[liotier]

Coming soon: the final and complete eradication of trust in anything you see or hear ▻http://research.nvidia.com/publication/2017-12_Unsupervised-Image-to-Image-Translation http://ift.tt/2BxEWbd #machine_learning #computer_vision #image_translation #PyTorch #openCV

[phonemantra-blog]

Eureka teaches more effectively than a human Well, the moment has come when artificial intelligence began to train robots. Nvidia has developed an AI agent called Eureka, which can teach robots complex motor skills. [caption id="attachment_72735" align="aligncenter" width="780"] artificial intelligence[/caption] For example, Eureka taught a robotic hand pen spinning—quickly juggling the handle with its fingers. Of course, a virtual model of the robotic arm was trained, but that doesn't matter. In total, Nvidia's AI agent taught the robots nearly 30 different tasks, including opening cabinet doors, throwing and catching a ball, and so on. Some of these actions may seem very simple, but this is only because we know how to do them automatically and without thinking. https://youtu.be/sDFAWnrCqKc Eureka relies on the GPT-4 language model. Training took place in the Nvidia Isaac Gym physics simulation application. Reinforcement learning has made impressive advances over the past decade, but many challenges still exist, such as reward design, which remains a trial-and-error process. Eureka is the first step towards developing new algorithms that combine generative and reinforcement learning techniques to solve complex problems Artificial intelligence has been created that trains robots. It is important to note that the efficiency of Nvidia's AI agent is very high. The press release said that Eureka's reward programs, which allow robots to learn through trial and error, outperform programs written by experts on more than 80% of tasks. This results in an average increase in bot performance of over 50%. The AI ​​agent uses the GPT-4 language model and generative AI to write code that rewards robots for reinforcement learning. It doesn't require task-specific prompts or predefined reward templates and easily incorporates people's feedback to change rewards to produce results that more closely align with the developer's vision. Using GPU-accelerated simulation in Isaac Gym, Eureka can quickly assess the quality of large batches of reward candidates for more efficient training. Eureka then compiles a summary of key statistics from the training results and instructs the language model to improve the generation of reward functions. Thus, AI improves itself. He has taught all kinds of robots - quadrupeds, bipeds, quadcopters, dexterous robots, manipulator cobots, and others - to perform a variety of tasks

[ulyss]

Understanding what a model does not know is a critical part of many machine learning systems. Unfortunately, today’s deep learning algorithms are usually unable to understand their uncertainty. These models are often taken blindly and assumed to be accurate, which is not always the case.

[jobrxiv]

Postdoctoral Fellowships in Computer Vision, Khalifa University, UAE Computer Science Department, Khalifa University See the full job description on jobRxiv: https://jobrxiv.org/job/khalifa-university-27778-postdoctoral-felloships/?feed_id=91862 #computer_vision #deep_learning #ScienceJobs #hiring #research

[nihaozin]

@ProgrammerDudez: New Partnership Delivers Enhanced Driver Sensing https://t.co/Kfm4EiUDM1 #ai #deep_learning #computer_vision #driverless #Programming

[rachelmercerreads]

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