Marktechpost

MAY 8, 2024

Over the past decade, advancements in deep learning and artificial intelligence have driven significant strides in self-driving vehicle technology. These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution.

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AI Weekly

APRIL 11, 2024

And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses. No legacy process is safe.

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AI Weekly

JUNE 22, 2023

Million Key trends in AI in packaging include predictive maintenance, quality assurance through computer vision, supply chain optimization, voice and image recognition for hands-free operations, and data analytics for insights into consumer behavior and operational efficiency. techxplore.com What Is Unsupervised Machine Learning?

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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible.

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NVIDIA

OCTOBER 3, 2023

With the help of AI, robots, tractors and baby strollers — even skate parks — are becoming autonomous. The undergraduate from the Karunya Institute of Technology and Sciences in Coimbatore, India, is powering his autonomous wheelchair project using the NVIDIA Jetson platform for edge AI and robotics. It’s the software of the future.”

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NVIDIA

OCTOBER 20, 2023

A new AI agent developed by NVIDIA Research that can teach robots complex skills has trained a robotic hand to perform rapid pen-spinning tricks — for the first time as well as a human can. Eureka has also taught robots to open drawers and cabinets, toss and catch balls, and manipulate scissors, among other tasks.

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AI Weekly

OCTOBER 26, 2023

cryptopolitan.com Applied use cases Alluxio rolls out new filesystem built for deep learning Alluxio Enterprise AI is aimed at data-intensive deep learning applications such as generative AI, computer vision, natural language processing, large language models and high-performance data analytics. voxeurop.eu

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AI Weekly

SEPTEMBER 28, 2023

Rule-based chatbots rely on pre-defined conditions and keywords to provide responses, lacking the ability to adapt to context or learn from previous interactions. makeuseof.com Computer vision's next breakthrough Computer vision can do more than reduce costs and improve quality. You read that right!

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Google Research AI blog

FEBRUARY 14, 2023

Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. When applied to robotics, LLMs let people task robots more easily — just by asking — with natural language.

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IBM Journey to AI blog

OCTOBER 12, 2023

Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention. This allows intelligent machines to identify and classify objects within images and video footage.

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Marktechpost

SEPTEMBER 9, 2024

Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving the future of technology.

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Viso.ai

DECEMBER 3, 2023

Pose estimation is a fundamental task in computer vision and artificial intelligence (AI) that involves detecting and tracking the position and orientation of human body parts in images or videos. provides the leading end-to-end Computer Vision Platform Viso Suite. Get a demo for your organization.

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IBM Journey to AI blog

FEBRUARY 14, 2024

The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

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AI Weekly

JULY 13, 2023

In The News Robots at United Nations Summit in Geneva : we have no plans to steal jobs or rebel against humans Robots have no plans to steal the jobs of humans or rebel against their creators, but would like to make the world their playground, nine of the most advanced humanoid robots have told an artificial intelligence summit in Geneva.

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AI Weekly

DECEMBER 14, 2023

theconversation.com Scientists Preparing to Turn on Computer Intended to Simulate Entire Human Brain Researchers at Western Sydney University in Australia have teamed up with tech giants Intel and Dell to build a massive supercomputer intended to simulate neural networks at the scale of the human brain. Who's a good boy?

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Marktechpost

MARCH 22, 2024

Real-time, high-accuracy optical flow estimation is critical for analyzing dynamic scenes in computer vision. Traditional methodologies, while foundational, have often stumbled upon the computational versus accuracy problem, especially when executed on edge devices. Check out the Paper and Github.

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Marktechpost

JULY 13, 2024

A fundamental topic in computer vision for nearly half a century, stereo matching involves calculating dense disparity maps from two corrected pictures. It plays a critical role in many applications, including autonomous driving, robotics, and augmented reality, among many others. Join our Telegram Channel and LinkedIn Gr oup.

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Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

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Viso.ai

FEBRUARY 11, 2024

One of the computer vision applications we are most excited about is the field of robotics. By marrying the disciplines of computer vision, natural language processing, mechanics, and physics, we are bound to see a frameshift change in the way we interact with, and are assisted by robot technology.

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AI Weekly

JUNE 29, 2023

wan-ifra.org Computer vision system marries image recognition and generation Computers possess two remarkable capabilities with respect to images: They can both identify them and generate them anew. It’s a stellar lineup of speakers, but the real stars in our eyes are the robots. phys.org Quantum Computing Inc.

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Marktechpost

JULY 12, 2023

Advances in Deep Learning Methodologies are greatly impacting the Artificial Intelligence community. Deep Learning techniques are being widely used in almost every industry, be it healthcare, social media, engineering, finance, or education.

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Heartbeat

AUGUST 1, 2023

A World of Computer Vision Outside of Deep Learning Photo by Museums Victoria on Unsplash IBM defines computer vision as “a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs [1].”

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Marktechpost

JUNE 3, 2024

Its AI courses offer hands-on training for real-world applications, enabling learners to effectively use Intel’s portfolio in deep learning, computer vision, and more. It covers AI fundamentals, including supervised learning and deep learning basics, without complex math.

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PyImageSearch

JANUARY 2, 2023

This blog will cover the benefits, applications, challenges, and tradeoffs of using deep learning in healthcare. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

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Aiiot Talk

AUGUST 10, 2024

Unless facilities adapt, they risk experiencing more and longer delays as their workers, robots and conveyors struggle to keep up with the sheer volume of orders.” Combining deep learning, natural language processing, surveillance systems and computer vision would enable rapid decision-making.

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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Unite.AI

SEPTEMBER 25, 2023

Also, the object detection, identification and its scale and orientation estimation — called object registration — is achieved, in most cases, computationally or using simple computer vision methods with standard training libraries (examples: Google MediaPipe, VisionLib).

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PyImageSearch

MARCH 30, 2023

If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision.

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IBM Journey to AI blog

DECEMBER 15, 2023

PyTorch is an open-source AI framework offering an intuitive interface that enables easier debugging and a more flexible approach to building deep learning models. It is a popular choice among researchers and developers for rapid software development prototyping and AI and deep learning research.

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Viso.ai

DECEMBER 19, 2024

Computer Vision (CV) is a field in computer science that enables machines to “see” Computer vision algorithms allow machines to identify, detect, and understand objects in videos and images. This unlocks many possibilities for computer vision to be applied to various industries.

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Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. You can find other posts in the series here.)

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Viso.ai

APRIL 2, 2024

3D Computer Vision is a branch of computer science that focuses on acquiring, image processing , and analyzing three-dimensional visual data. 3D vision techniques use information from sources like cameras or sensors to build a digital understanding of the shapes, structure, and properties of objects in a scene.

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Towards AI

SEPTEMBER 30, 2024

Presently across many sectors, new advancements in fields such as AI, NLP (natural language processing), robotics, and computer vision are being utilized to boost operational efficiency. According to Statista by 2024 the revenues of this industry will be above $184 billion and will have risen nearly $50 billion from 2023.

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NVIDIA

DECEMBER 11, 2024

Scalable simulation technologies are driving the future of autonomous robotics by reducing development time and costs. Universal Scene Description (OpenUSD) provides a scalable and interoperable data framework for developing virtual worlds where robots can learn how to be robots.

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Viso.ai

MAY 14, 2024

In many computer vision applications (e.g. robot motion and medical imaging) there is a need to integrate relevant information from multiple images into a single image. provides a robust end-to-end no-code computer vision solution – Viso Suite. About us : Viso.ai Get a demo here.

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Unite.AI

NOVEMBER 20, 2024

James Tudor , MD, spearheads the integration of AI into XCath's robotics systems. Founded in 2017, XCath is a startup focused on advancements in medical robotics, nanorobotics, and materials science. Founded in 2017, XCath is a startup focused on advancements in medical robotics, nanorobotics, and materials science.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. With repetition, the agent learns the best strategies.

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