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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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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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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Marktechpost

JANUARY 24, 2024

Artificial Intelligence has witnessed a revolution, largely due to advancements in deep learning. This shift is driven by neural networks that learn through self-supervision, bolstered by specialized hardware. Before the advent of deep learning, data representation often involved manually curated feature vectors.

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Heartbeat

MARCH 5, 2024

Image by istockphoto Computer vision has become a ground-breaking area in artificial intelligence and machine learning with revolutionary applications. Computer vision has changed how we see and interact with the world, from autonomous vehicles navigating complex metropolitan landscapes to medical imaging identifying diseases.

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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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Viso.ai

FEBRUARY 11, 2024

Detectron2 is a deep learning model built on the Pytorch framework, which is said to be one of the most promising modular object detection libraries being pioneered. About us: We are viso.ai, the creators of the end-to-end computer vision platform, Viso Suite. It then teaches the model to “look” at them and “see” things.

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Viso.ai

JANUARY 19, 2024

Computer vision is a main driver, quietly but forcefully directing the smooth transition between the virtual and real worlds. And both of those immersive technologies rely largely on computer vision. Computer Vision (CV) is a fundamental building block that can transform industries and enhance everyday encounters.

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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

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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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 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

MAY 22, 2023

Photo by Andrea Piacquadio: [link] Computer vision is one of the most widely used and evolving fields of AI. It gives the computer the ability to observe and learn from visual data just like humans. In this process, the computer derives meaningful information from digital images, videos etc.

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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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Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. With the help of these technologies, AI is now capable of learning, reasoning, and processing complex data. This improvement has led to a significant advancement in medical diagnosis.

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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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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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Pickl AI

JUNE 5, 2023

The world of AI, ML and Deep learning continues to evolve and expand. With the significant rise in its application of Deep Learning and allied technologies, across the business spectrum, it has laid the foundation stone for a new future. The growth in Deep Learning applications in the real world will boost its market.

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Heartbeat

OCTOBER 11, 2023

This process is known as machine learning or deep learning. Two of the most well-known subfields of AI are machine learning and deep learning. What is Deep Learning? This is why the technique is known as "deep" learning.

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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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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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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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Sebastian Ruder

FEBRUARY 23, 2023

This post gives a brief overview of modularity in deep learning. Fuelled by scaling laws, state-of-the-art models in machine learning have been growing larger and larger. We give an in-depth overview of modularity in our survey on Modular Deep Learning. Case studies of modular deep learning.

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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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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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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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Marktechpost

MAY 5, 2024

Graph Neural Network (GNN)–based motion planning has emerged as a promising approach in robotic systems for its efficiency in pathfinding and navigation tasks. This approach leverages GNNs to learn the underlying graph structure of an environment, enabling it to make quick and informed decisions about which paths to take.

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Heartbeat

JANUARY 15, 2024

Imagine a world without computers that can perceive and understand images! The field of computer vision has brought us a step closer to this reality by developing sophisticated algorithms to extract meaningful information from visual data automatically.

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Viso.ai

APRIL 29, 2024

A Spatial Transformer Network (STN) is an effective method to achieve spatial invariance of a computer vision system. These deep learning frameworks come with all the necessary tools and libraries for building and training complex neural network architectures. Max Jaderberg et al.

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Marktechpost

JULY 11, 2023

Deep Learning is everywhere. Deep learning is a subfield of machine learning which enables computers to learn and make predictions from large amounts of data. It has revolutionized lots of fields, and the trend seems to continue in the near future.

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Flipboard

AUGUST 11, 2023

Aigen, which recently unveiled a new self-driving robot, is led by co-founders, Rich Wurden, left, and Kenny Lee. Aigen Photo) Engineers are bringing their talents in artificial intelligence and machine learning to the farm. Aigen is similar to Carbon Robotics, a Seattle startup that also sells weed-zapping robots.

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NVIDIA

SEPTEMBER 11, 2023

Grace Hopper Superchips and H100 GPUs led across all MLPerf’s data center tests, including inference for computer vision, speech recognition and medical imaging, in addition to the more demanding use cases of recommendation systems and the large language models ( LLMs ) used in generative AI.

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Pickl AI

APRIL 19, 2024

Ultimately, you will also learn how to become an AI expert and how professional certification courses can help you gain AI skills. Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics. Learning AI requires grasping mathematics, statistics, and programming fundamentals.

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Analytics Vidhya

MARCH 27, 2024

With applications ranging from medical diagnosis to industrial inspection and robotics, 3D segmentation plays a pivotal role in understanding complex three-dimensional structures and objects.

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Marktechpost

NOVEMBER 12, 2023

In deep learning, Transformer neural networks have garnered significant attention for their effectiveness in various domains, especially in natural language processing and emerging applications like computer vision, robotics, and autonomous driving.

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Marktechpost

JANUARY 22, 2024

Since it helps robots understand and interpret visual input, image annotation is vital in computer vision, robotics, and autonomous driving. Thanks to its compatibility with popular deep learning frameworks like TensorFlow, PyTorch, and Caffe, the platform allows users to export their annotations in several formats.

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