Viso.ai

FEBRUARY 28, 2023

And why is OpenCV so popular in the Computer Vision Industry? Hence, the world’s leading companies across industries use OpenCV to develop their computer vision systems. What is Computer Vision? Leading organizations use it to build, deploy and scale real-world computer vision applications.

Computer Vision 52

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Unite.AI

MAY 10, 2024

Your previous computer vision focused startup Visualead was eventually acquired by Alibaba Group, what was this startup, and what were some of your key takeaways from this experience? At Visualead, we’d been running algorithms on mobile devices since 2012, including models.

Large Language Models 147

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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. He is the Silver Professor of the Courant Institute of Mathematical Sciences at New York University and Vice-President, Chief AI Scientist at Meta.He

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Scientist 52

AWS Machine Learning Blog

JUNE 15, 2023

She has been leading a few course designs, including ML Operations (MLOps) and Accelerator Computer Vision. Outside of work, Yunfei enjoys reading and music. Rachel Hu is an applied scientist at AWS Machine Learning University (MLU).

Natural Language Processing 74

Natural Language Processing Auto-complete Deep Learning Machine Learning 74

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.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Neural Network 52

Viso.ai

MARCH 12, 2024

Today’s boom in computer vision (CV) started at the beginning of the 21 st century with the breakthrough of deep learning models and convolutional neural networks (CNN). In this article, we dive into some of the most significant research papers that triggered the rapid development of computer vision.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

AWS Machine Learning Blog

APRIL 5, 2023

He has been working on several AI/ML projects related to computer vision, natural language processing, personalization, ML at the edge, and more. For more information about working with media assets, refer to Media intelligence just got smarter with Media2Cloud 3.0

ML 77

ML Python Automation Natural Language Processing 77

AWS Machine Learning Blog

MAY 10, 2023

About the authors Bhadrinath Pani is a Software Development Engineer at Amazon Web Services, working on Amazon SageMaker interactive ML products, with over 12 years of experience in software development across domains like automotive, IoT, AR/VR, and computer vision.

Data Scientist 74

Data Scientist Python Software Development Machine Learning 74

Heartbeat

AUGUST 21, 2023

AlexNet is a more profound and complex CNN architecture developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton in 2012. This helps avoid disappearing gradients in very deep networks, allowing ResNet to attain cutting-edge performance on a wide range of computer vision applications.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Natural Language Processing Computer Vision 52

Flipboard

JULY 31, 2023

Computer Vision Datasets Object Detection What Is Object Detection Object detection is a cool technique that allows computers to see and understand what’s in an image or a video. The world relies increasingly on fish protein, so you might want to check out this fish dataset and explore the world of underwater computer vision.

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

Heartbeat

DECEMBER 8, 2023

Action: Wikipedia Action Input: "Yann LeCun" Observation: Page: Yann LeCun Summary: Yann André LeCun ( lə-KUN, French: [ləkœ̃]; originally spelled Le Cun; born 8 July 1960) is a Turing Award winning French computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Mlearning.ai

JUNE 18, 2023

In this article we show how to use Google Colab perform transfer learning on YOLO , a well known deep learning computer vision model written in C and CUDA. Summary In this demonstration we showed how to use Google Colab’s GPUs to train the deep learning model YOLO, a computer vision model written in C.

Deep Learning 52

Deep Learning Computer Vision Python ML 52

AWS Machine Learning Blog

MARCH 12, 2024

Although this post only included natural language processing of sensitive data, you can modify this architecture to support alternate LLMs supporting audio, computer vision, or multi-modalities. app and run it inside the Cloud9 environment. The same security principles highlighted here can be applied to data in any format.

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Large Language Models LLM Chatbots Natural Language Processing 90

Unite.AI

JANUARY 9, 2024

Apple prioritizes computer vision , natural language processing , voice recognition, and healthcare to enhance its products. Likewise, Microsoft strengthens its cloud and enterprise software through acquisitions in natural language processing , computer vision , and cybersecurity.

Natural Language Processing 147

Natural Language Processing Computer Vision Robotics AI 147

AWS Machine Learning Blog

APRIL 22, 2024

He has worked on projects in different domains, including MLOps, computer vision, and NLP, involving a broad set of AWS services. .__/__/_/ /_/ /_,_/ / / / /_/ You're on the controller Instance Type: ml.m5.xlarge In his free time, Giuseppe enjoys playing football.

Software Engineer 86

Software Engineer Software Development Machine Learning ML 86

AWS Machine Learning Blog

MARCH 30, 2023

He is passionate about recommendation systems, NLP, and computer vision areas in AI and ML. He works with customers from different sectors to accelerate high-impact data, analytics, and machine learning initiatives. Outside of work, Vamshi is an RC enthusiast, building RC equipment (planes, cars, and drones), and also enjoys gardening.

Machine Learning 83

Machine Learning ML Python Software Engineer 83

Viso.ai

APRIL 29, 2024

It was introduced by Geoffrey Hinton and his team in 2012, and marked a key event in the history of deep learning, showcasing the strengths of CNN architectures and its vast applications. Performance and Impact The AlexNet architecture dominated in 2012 by achieving a top-5 error rate of 15.3%, significantly lower than the runner-up’s 26.2%.

Deep Learning 52

Deep Learning Neural Network Convolutional Neural Networks Machine Learning 52

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. Human intervention was required to expand Siri’s knowledge base and functionality.

Artificial Intelligence 184

Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 184

Topbots

JANUARY 11, 2023

Select all that apply * Natural Language Processing (NLP) Chatbots & Conversational AI Computer Vision Ethics & Safety Robotics Machine Learning Deep Learning Reinforcement Learning Generative Models Other (Please Describe Below) What is your biggest challenge with AI research? Enjoy this article?

Generative AI 40

Generative AI Explainability Deep Learning Neural Network 40

Mlearning.ai

MARCH 9, 2023

2012; Otsu, 1979; Long et al., Methodology In this study, we used the publicly available PASCAL VOC 2012 dataset (Everingham et al., The MBD model was trained on the training set of the PASCAL VOC 2012 dataset, and the resulting model was used to segment the selected images from the validation set. References: Arbeláez, P.,

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

Viso.ai

JANUARY 2, 2024

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Viso Suite enables the use of neural networks for computer vision with no code. Le propose architectures that balance accuracy and computational efficiency. Learn more and request a demo.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Towards AI

FEBRUARY 10, 2023

Building natural language processing and computer vision models that run on the computational infrastructures of Amazon Web Services or Microsoft’s Azure is energy-intensive. The Myth of Clean Tech: Cloud Data Centers The data center has been a critical component of improvements in computing.

AI Modeling 86

AI Modeling Natural Language Processing Computer Vision AI 86

AWS Machine Learning Blog

APRIL 23, 2024

He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes using state of the art ML techniques. He focuses on helping customers build, train, deploy and migrate machine learning (ML) workloads to SageMaker.

ML 96

ML Python Machine Learning Generative AI 96

Hal Daumé III

NOVEMBER 8, 2016

The last time I taught this class was in 2012. A silly example is the curation of older datasets for object detection in computer vision, which (I understand) decided on which objects to focus on by asking five year old relatives of the researchers constructing the datasets to name all the objects they could see.

ML 52

ML Robotics Machine Learning AI 52

Towards AI

JULY 20, 2023

achieved a very good result in VOC 2012. Introduction to Region with Convolutional Neural Networks (R-CNNs) Photo by Edward Ma on Unsplash Region with Convolutional Neural Network (R-CNN) is proposed by Girshick et al. It changed the object detection field fundamentally. By leveraging selective search, CNN and SVM, Girshick et al.

Convolutional Neural Networks 40

Convolutional Neural Networks Neural Network AI AI 40

Lexalytics

APRIL 5, 2021

While working as an RA in the computer vision group, I had the opportunity to sit in a robotic Humvee as it used Pomerleau’s code to drive around the University of Massachusetts’ stadium.) And in 2012, Alex Krizhevsky, Ilya Sutskever and Geoffrey E. I can personally confirm that this more or less worked. Hinton (again!)

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Flipboard

AUGUST 17, 2023

The policy looks like the following code: { "Version": "2012-10-17", "Statement": [ { "Action": "redshift:getclustercredentials", "Effect": "Allow", "Resource": [ "*" ] } ] } After this setup, SageMaker Data Wrangler allows you to query Amazon Redshift and output the results into an S3 bucket.

ML 93

ML Auto-complete Auto-classification Machine Learning 93

AWS Machine Learning Blog

APRIL 16, 2024

He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes using state of the art ML techniques. or later image versions. In his free time, he enjoys playing chess and traveling.

Data Scientist 90

Data Scientist Generative AI ML Machine Learning 90

Applied Data Science

MARCH 11, 2022

Back in 2012 things were quite different. It is no wonder then that the field of computer vision became a main driver of progress in AI. Techniques developed in NLP, such as the Transformer architecture, are useful in very diverse fields such as computer vision and reinforcement learning. This cat does not exist.

Neural Network 52

Neural Network AI AI Data Science 52

AWS Machine Learning Blog

DECEMBER 14, 2023

He previously worked in the semiconductor industry developing large computer vision (CV) and natural language processing (NLP) models to improve semiconductor processes using state of the art ML techniques. You need to grant your users permissions for private spaces and user profiles necessary to access these private spaces.

Generative AI 98

Generative AI AI Tools ML AI 98

Viso.ai

DECEMBER 21, 2023

Over the past decade, the field of computer vision has experienced monumental artificial intelligence (AI) breakthroughs. This blog will introduce you to the computer vision visionaries behind these achievements. Viso Suite is the end-to-End, No-Code Computer Vision Solution.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

AWS Machine Learning Blog

JUNE 6, 2023

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural language processing, content creation, and more. With the recent PyTorch 2.0 release, AWS customers can now do same things as they could with PyTorch 1.x

ML 69

ML Deep Learning BERT Python 69

NVIDIA

JUNE 20, 2023

Huang said that “the biggest moment of modern AI” can be traced back to an academic contest in 2012, when a team of University of Toronto researchers led by Alex Krizhevsky showed that NVIDIA GPUs could train an AI model that recognized objects better than any computer vision algorithm that came before it.

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