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].” What is Computer Vision?”

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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 voxeurop.eu

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Marktechpost

SEPTEMBER 12, 2023

The quest to make robots perform complex physical tasks, such as navigating challenging environments, has been a long-standing challenge in robotics. The primary problem this paper and article aim to address is how to efficiently teach robots these agile parkour skills, enabling them to navigate through diverse real-world scenarios.

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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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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. Also, they will show you how huge this domain is.

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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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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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AI Weekly

SEPTEMBER 21, 2023

scientificamerican.com AI model speeds up high-resolution computer vision Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed a more efficient computer vision model that vastly reduces the computational complexity of this task. [Get your FREE eBook.] Get your FREE eBook.]

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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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AI Weekly

JANUARY 18, 2024

medium.com Robotics From Warehouses to Hospitals: Yujin Robot’s Cutting-Edge Robotic Solutions It transforms traditional factories into smart, interconnected systems, optimizing processes through real-time data, predictive maintenance, and increased customization.

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PyImageSearch

JANUARY 2, 2023

Computer Vision and Deep Learning for Oil and Gas Computer Vision and Deep Learning for Transportation Computer Vision and Deep Learning for Logistics Computer Vision and Deep Learning for Healthcare (this tutorial) Computer Vision and Deep Learning for Education To learn about Computer Vision and Deep Learning for Healthcare, just keep reading.

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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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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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Marktechpost

FEBRUARY 22, 2024

In computer vision, convolutional networks acquire a semantic understanding of images through extensive labeling provided by experts, such as delineating object boundaries in datasets like COCO or categorizing images in ImageNet.

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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. STNs are used to “teach” neural networks how to perform spatial transformations on input data to improve spatial invariance. Max Jaderberg et al.

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Marktechpost

MAY 6, 2024

Researchers in computer vision and robotics consistently strive to improve autonomous systems’ perception capabilities. Existing research includes convolutional neural networks (CNNs) and transformer-based object detection and segmentation architectures.

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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

MAY 8, 2024

These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution. DRL models, such as Deep Q-Networks (DQN), estimate optimal action policies by training neural networks to approximate the maximum expected future rewards.

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Analytics Vidhya

JUNE 4, 2023

The innovative model utilizes neural networks to reconstruct 3D scenes and objects from 2D video clips. Like Michelangelo’s mastery in sculpting intricate and realistic visions from blocks of marble, Neuralangelo breathes life into static footage, transforming it into detailed 3D structures.

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Viso.ai

JANUARY 18, 2024

This process is fundamental to the transmission of information throughout our extensive neural network. Viso Suite is a no-code computer vision platform for enterprises to build and deliver all their real-world computer vision systems in one place. This helps prevent neural networks from vanishing gradients.

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Pickl AI

APRIL 19, 2024

Key Takeaways AI encompasses machine learning, neural networks, NLP, and robotics. Neural Networks: Inspired by the human brain’s structure, neural networks are algorithms that allow machines to recognise patterns and make decisions based on input data.

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Unite.AI

FEBRUARY 16, 2024

Despite achieving remarkable results in areas like computer vision and natural language processing , current AI systems are constrained by the quality and quantity of training data, predefined algorithms, and specific optimization objectives.

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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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NVIDIA

JUNE 1, 2023

Neuralangelo, a new AI model by NVIDIA Research for 3D reconstruction using neural networks, turns 2D video clips into detailed 3D structures — generating lifelike virtual replicas of buildings, sculptures and other real-world objects. The papers span topics including pose estimation, 3D reconstruction and video generation.

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Pickl AI

APRIL 25, 2023

There are five different subsets of Artificial Intelligence which include Machine Learning, Deep Learning, Robotics, Neural Networks, and NLP. It is important to note that Machine Learning has several subsets including neural networks, deep learning, and reinforcement learning. What is Robotics?

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Marktechpost

JULY 11, 2023

Deep learning is a subfield of machine learning which enables computers to learn and make predictions from large amounts of data. Artificial neural networks are the key component here which are inspired by the structure and functioning of the human brain. The disconnect between theory and practice is growing. Let’s take a look.

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Heartbeat

DECEMBER 14, 2023

is well known for his work on optical character recognition and computer vision using convolutional neural networks (CNN), and is a founding father of convolutional nets. in 1998, In general, LeNet refers to LeNet-5 and is a simple convolutional neural network. > Finished chain. . >

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IBM Journey to AI blog

DECEMBER 15, 2023

Keras, an open-source neural network library written in Python, is known for its user-friendliness and modularity, allowing for easy and fast prototyping of deep learning models. Its strong integration with Python libraries and support for GPU acceleration ensures efficient model training and experimentation.

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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. We eagerly await the next act in the enchanting realm of computer vision.

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Marktechpost

OCTOBER 21, 2023

To combine computer-generated visuals or deduce the physical characteristics of a scene from pictures, computer graphics, and 3D computer vision groups have been working to create physically realistic models for decades.

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Marktechpost

AUGUST 24, 2023

Discussions about automation, additive manufacturing, robots, AI, and all the other technologies we’ve developed to enable a world without menial work can be found on the r/Automate subreddit. The subreddit has excellent computer vision and artificial intelligence content. There are about 68k members. It has over 37.4k

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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. is one of the most popular frameworks for training neural networks, and it serves as the foundation for Makes Sense AI. TensorFlow.js

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Pickl AI

JUNE 5, 2023

From automated cars, to robots being your friend, these are no more a part of fictional story, they are here and are transforming our lives. Deep Learning is a subset of Machine Learning where neural networks have a significant role. The neural networks are designed to recognize patterns. What is Deep Learning ?

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Viso.ai

APRIL 11, 2024

Object and Image Localization are among the most significant tasks in Computer Vision (CV). Convolutional Neural Networks : CNNs are the basis of many object localization techniques. Practical Challenges of Object Localization Object localization in computer vision is a complex task.

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Mlearning.ai

JULY 17, 2023

These techniques have proven to be powerful in various domains, from natural language processing to computer vision and beyond. Generative Adversarial Networks (GANs): GANs are a class of deep learning models that have gained tremendous popularity in recent years.

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Viso.ai

DECEMBER 18, 2023

Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. Viso Suite is the End-to-End, No-Code Computer Vision Platform – Learn more What is Synthetic Data? Neural networks can also synthesize unstructured data like images and video.

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Viso.ai

FEBRUARY 24, 2023

In this article, we’ll dive into the techniques, latest research, and advantages of self-supervised learning, and explore how it is being used in computer vision. provides Viso Suite , the leading Computer Vision Platform for delivering real-world AI applications. About us: viso.ai

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