Viso.ai

DECEMBER 20, 2023

The computer vision annotation tool CVAT provides a powerful solution for image annotation in computer vision. Computational vision is the research field that uses machines to collect and analyze images and videos to extract information from processed visual data. Get a demo or the whitepaper.

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Marktechpost

MAY 13, 2024

Vision Transformers (ViT) and Convolutional Neural Networks (CNN) have emerged as key players in image processing in the competitive landscape of machine learning technologies. Convolutional Neural Networks (CNNs) CNNs have been the cornerstone of image-processing tasks for years.

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Marktechpost

JULY 23, 2023

Artificial intelligence is making noteworthy strides in the field of computer vision. One key area of development is deep learning, where neural networks are trained on huge datasets of images to recognize and classify objects, scenes, and events. Check out the GitHub and Project.

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AI Weekly

JANUARY 18, 2024

aithought.com Applied use cases 5 Best AI Tools for Customer Service Automation 5 Best AI Tools for Customer Service AI tools are about making your services smarter, faster, and more personal, all serving to boost your business operations and customer satisfaction levels.

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Marktechpost

JULY 11, 2023

Matching corresponding points between images is crucial to many computer vision applications, such as camera tracking and 3D mapping. This release empowers researchers and practitioners to utilize LightGlue’s capabilities and contribute to advancing computer vision applications that require efficient and accurate image matching.

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IBM Journey to AI blog

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Emotion AI is a theory of mind AI currently in development.

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Marktechpost

JULY 2, 2023

Thus, there is a growing demand for explainability methods to interpret decisions made by modern machine learning models, particularly neural networks. The study was also presented at the esteemed Computer Vision and Pattern Recognition Conference, 2023, held in Canada.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Companies also take advantage of ML in smartphone cameras to analyze and enhance photos using image classifiers, detect objects (or faces) in the images, and even use artificial neural networks to enhance or expand a photo by predicting what lies beyond its borders. Routine questions from staff can be quickly answered using AI.

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Unite.AI

JULY 12, 2024

Photomath Photomath is a popular mobile app that uses advanced computer vision and artificial intelligence to provide instant solutions to math problems. The app covers a wide range of math topics, from basic arithmetic to advanced calculus, making it a valuable tool for students of all levels.

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Marktechpost

MAY 10, 2024

Applications that take advantage of machine learning in novel ways are being developed thanks to the rise of Low-Code and No-Code AI tools and platforms. AI can be used to create web services and customer-facing apps to coordinate sales and marketing efforts better.

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Marktechpost

DECEMBER 10, 2023

Applications that take advantage of machine learning in novel ways are being developed thanks to the rise of Low-Code and No-Code AI tools and platforms. AI can be used to create web services and customer-facing apps to coordinate sales and marketing efforts better.

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Marktechpost

JULY 16, 2023

The Vision Transformer (ViT) rapidly replaces convolution-based neural networks because of its simplicity, flexibility, and scalability. Feeding data into a deep neural network during training and operation in batches is common practice. Check out the Paper.

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Viso.ai

JANUARY 21, 2025

Computer vision is a field of artificial intelligence that enables machines to understand and analyze objects in visual data (e.g. It allows computer systems to perform tasks like recognizing objects, identifying patterns, and analyzing scenesjobs that replicate what human eyes and brains can do. images and videos).

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Viso.ai

MARCH 26, 2024

Arguably, one of the most pivotal breakthroughs is the application of Convolutional Neural Networks (CNNs) to financial processes. This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. Applications of Computer Vision in Finance No.

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IBM Journey to AI blog

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions.

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Marktechpost

JULY 14, 2023

This image representation comes under a broad category of Computer Vision and Convolutional Neural Networks. Research scientists find it very similar to Convolutional Neural Networks. But formatting an image through text is challenging as there was a severe loss and less accuracy.

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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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Marktechpost

JULY 21, 2023

We’ve seen how generative models revolutionized themselves by going from a funky image generation algorithm to the point where it became challenging to differentiate the AI-generated content from real ones. The advanced neural network structures, and maybe more importantly, the availability of large-scale datasets.

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Viso.ai

FEBRUARY 19, 2024

The evolution of computer vision technology has paved the way for innovative artificial intelligence (AI) solutions in the legal industry. Beyond traditional applications like people detection, object tracking, and behavior analysis, computer vision has the potential to offer many more creative and nuanced solutions.

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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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Pickl AI

DECEMBER 26, 2024

Applications in Large-Scale Machine Learning Models Ultracluster powers large-scale Machine Learning models that demand extensive computational resources. Its high-performance GPUs and interconnected architecture enable seamless training of massive neural networks, such as GPT and DALL-E.

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Marktechpost

JUNE 8, 2023

A foundation model consists of two key components: a pretrained model, typically a large neural network, trained to solve a masked token prediction task on a large real-world dataset, and a generic task interface that can translate any task within a wide domain into an input for the pretrained model.

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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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ODSC - Open Data Science

FEBRUARY 10, 2025

Computer vision systems in dashboard cameras can use video anomaly detection to automatically save clips of unsafe behaviors or crashes. A/V editing software could offer AI tools that highlight portions of interest in video or audio files for streamlined workflows.

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Towards AI

DECEMBER 16, 2024

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Ethical AI Tools: Create applications that provide transparent insights into decision-making processes.

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Marktechpost

JUNE 30, 2023

Over the past few years, there has been a rapid increase in several computer vision and computer graphics-related fields, especially surface reconstruction. These techniques leverage neural networks and feature grids to estimate the signed distance or occupancy values at different locations in the scene.

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Marktechpost

AUGUST 24, 2023

r/AIethics Ethics are fundamental in AI. r/AIethics has the latest content on how one can use and create various AI tools ethically. r/cogsci Although cognitive science is a large field, the subreddit features postings that in some way relate to the study of the mind from a scientific perspective, also featuring the latest AI.

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Marktechpost

JULY 16, 2023

They represent a cutting-edge fusion of natural language processing (NLP) and computer vision (CV). They use deep neural networks and advanced techniques to translate the semantic meaning of words into visual representations. Check Out 100’s AI Tools in AI Tools Club The post No, no, Let’s Not Put it There!

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Towards AI

DECEMBER 16, 2024

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Ethical AI Tools: Create applications that provide transparent insights into decision-making processes.

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Towards AI

DECEMBER 16, 2024

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Ethical AI Tools: Create applications that provide transparent insights into decision-making processes.

AI Researcher 98

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Towards AI

DECEMBER 16, 2024

The Top 10 AI Research Papers of 2024: Key Takeaways and How You Can Apply Them Photo by Maxim Tolchinskiy on Unsplash As the curtains draw on 2024, its time to reflect on the innovations that have defined the year in AI. Ethical AI Tools: Create applications that provide transparent insights into decision-making processes.

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Unite.AI

JUNE 21, 2024

One such library is cuDNN (CUDA Deep Neural Network library), which provides highly tuned implementations of standard routines used in deep neural networks. This engine can then be used to perform efficient inference on the GPU, leveraging CUDA for accelerated computation. import torch import torch.nn

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Flipboard

DECEMBER 17, 2024

This survey analyzes 107 research papers published over the last 18 years, providing a thorough evaluation of advancements in classification techniques, with a focus on the growing integration of computer vision and artificial intelligence (AI) in enhancing diagnostic accuracy and reliability.

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Marktechpost

JUNE 30, 2023

The first step depends on using a detector based on a Convolutional Neural Network (CNN). They show that a real-time model for any arbitrary data segment is feasible using the computational efficiency of convolutional neural networks (CNNs). Segmentation masks for each instance in the image are generated.

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NVIDIA

SEPTEMBER 5, 2023

The researchers created an AI tool that identifies and measures reef halos from global satellites, giving conservationists an opportunity to proactively address reef degradation. Using Planet SkySat images, they developed ‌a dual-model framework employing two types of convolutional neural networks (CNNs).

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Viso.ai

DECEMBER 20, 2023

In this blog article, we’ll explore MindSpore in-depth: Understanding the Architecture Reviewing Optimization Techniques Exploring Adaptability Ease of development Upsides and Commercial Risks About us : Viso Suite is the most powerful end-to-end computer vision platform. Computational Graph. Book a demo. Operators and Kernels.

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Marktechpost

JUNE 24, 2023

They also evaluate the method against a state-of-the-art convolutional neural network (CNN) model used for forensic picture classification and find that their methods perform better. According to the team, their method can be easily compromised by a cropping attack, which is a major disadvantage.

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