Flipboard

JUNE 20, 2023

Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm. Deep learning Deep learning is a specific type of machine learning used in the most powerful AI systems.

Neural Network 158

Neural Network Deep Learning Machine Learning AI 158

Towards AI

AUGUST 25, 2023

Machine learning (ML) is a subset of AI that provides computer systems the ability to automatically learn and improve from experience without being explicitly programmed. In ML, there are a variety of algorithms that can help solve problems. Any competent software engineer can implement any algorithm. 12, 2014. [3]

Machine Learning 98

Machine Learning Software Engineer Neural Network Data Science 98

Towards AI

JULY 19, 2023

Basically crack is a visible entity and so image-based crack detection algorithms can be adapted for inspection. Deep learning algorithms can be applied to solving many challenging problems in image classification. Deep learning algorithms can be applied to solving many challenging problems in image classification.

Computer Vision 98

Computer Vision Deep Learning Categorization Algorithm 98

Viso.ai

OCTOBER 9, 2024

Human-machine interaction is an important area of research where machine learning algorithms with visual perception aim to gain an understanding of human interaction. State-of-the-art emotion AI Algorithms Outlook, current research, and applications What Is AI Emotion Recognition? About us: Viso.ai What is Emotion AI?

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Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

Marktechpost

MAY 23, 2024

Applications of RL RL has been applied successfully in various domains: Gaming: RL algorithms have mastered complex games like Go, chess, and video games, often surpassing human experts. Robotics: RL enables robots to learn tasks such as grasping objects or navigating environments autonomously.

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Artificial Intelligence Artificial Intelligence Neural Network Robotics 126

Viso.ai

DECEMBER 3, 2023

This article will provide an introduction to object detection and provide an overview of the state-of-the-art computer vision object detection algorithms. The recent deep learning algorithms provide robust person detection results. Most modern person detector techniques are trained on frontal and asymmetric views.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

AWS Machine Learning Blog

APRIL 7, 2025

yml file from the AWS Deep Learning Containers GitHub repository, illustrating how the model synthesizes information across an entire repository. His role focuses on enabling customers to take advantage of state-of-the-art open source and proprietary foundation models and traditional machine learning algorithms.

Machine Learning 84

Machine Learning Large Language Models Python Automation 84

AWS Machine Learning Blog

FEBRUARY 29, 2024

Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. and PyTorch 2.0

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PyImageSearch

NOVEMBER 13, 2023

Home Table of Contents Faster R-CNNs Object Detection and Deep Learning Measuring Object Detector Performance From Where Do the Ground-Truth Examples Come? One of the most popular deep learning-based object detection algorithms is the family of R-CNN algorithms, originally introduced by Girshick et al.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 119

Becoming Human

MARCH 16, 2023

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. AI began back in the 1950s as a simple series of “if, then rules” and made its way into healthcare two decades later after more complex algorithms were developed. AI drug discovery is exploding.

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Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 139

Pickl AI

NOVEMBER 28, 2024

Summary: Generative Adversarial Network (GANs) in Deep Learning generate realistic synthetic data through a competitive framework between two networks: the Generator and the Discriminator. In answering the question, “What is a Generative Adversarial Network (GAN) in Deep Learning?”

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Deep Learning Neural Network Machine Learning Artificial Intelligence 52

Towards AI

AUGUST 11, 2023

GANs are a part of the deep-learning world and were very introduced by Ian Goodfellow and his collaborators in 2014, After that GANs have rapidly captivated many researchers’ eyes which resulted in much research and also helped to redefine the boundaries of creativity and artificial intelligence in the world of AI 1.1

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Neural Network Deep Learning Artificial Intelligence Artificial Intelligence 98

Mlearning.ai

APRIL 8, 2023

Charting the evolution of SOTA (State-of-the-art) techniques in NLP (Natural Language Processing) over the years, highlighting the key algorithms, influential figures, and groundbreaking papers that have shaped the field. NLP algorithms help computers understand, interpret, and generate natural language.

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NLP Neural Network Natural Language Processing Convolutional Neural Networks 98

John Snow Labs

MAY 23, 2023

Visual question answering (VQA), an area that intersects the fields of Deep Learning, Natural Language Processing (NLP) and Computer Vision (CV) is garnering a lot of interest in research circles. For visual question answering in Deep Learning using NLP, public datasets play a crucial role. Is aqua the maximum?

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Natural Language Processing Deep Learning NLP Convolutional Neural Networks 40

NLP People

JULY 24, 2019

The rise of NLP in the past decades is backed by a couple of global developments – the universal hype around AI, exponential advances in the field of Deep Learning and an ever-increasing quantity of available text data. This is especially relevant for the advanced, complex algorithms of the Deep Learning family.

NLP 52

NLP Neural Network Deep Learning Natural Language Processing 52

NVIDIA

NOVEMBER 3, 2023

Financial Services: Securing Digital Transactions, Payments and Portfolios Banks, asset managers, insurers and other financial service organizations are using AI and machine learning to deliver superior performance in fraud detection, portfolio management, algorithmic trading and self-service banking. airport websites last year.

Machine Learning 121

Machine Learning AI AI Deep Learning 121

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., Understanding the robustness of image segmentation algorithms to adversarial attacks is critical for ensuring their reliability and security in practical applications.

Deep Learning 52

Deep Learning Computer Vision Machine Learning Algorithm 52

How to Learn Machine Learning

JULY 20, 2024

It falls under machine learning and uses deep learning algorithms and programs to create music, art, and other creative content based on the user’s input. However, significant strides were made in 2014 when Lan Goodfellow and his team introduced Generative adversarial networks (GANs).

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Generative AI Machine Learning Deep Learning Natural Language Processing 64

Snorkel AI

JANUARY 10, 2023

In 2000, statistical algorithms came into existence, and these had the ability to handle tens of thousands of words. However, the problem with statistical algorithms was that, firstly, accuracy had reached a stable stage. So, you need to have that tight force alignment data to develop these statistical algorithm pipelines.

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AWS Machine Learning Blog

JANUARY 25, 2023

Apart from supporting explanations for tabular data, Clarify also supports explainability for both computer vision (CV) and natural language processing (NLP) using the same SHAP algorithm. Specifically, we show how you can explain the predictions of a text classification model that has been trained using the SageMaker BlazingText algorithm.

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ML Review

JUNE 4, 2018

Image captioning (circa 2014) Image captioning research has been around for a number of years, but the efficacy of techniques was limited, and they generally weren’t robust enough to handle the real world. However, in 2014 a number of high-profile AI labs began to release new approaches leveraging deep learning to improve performance.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52

Heartbeat

FEBRUARY 27, 2023

Photo by Markus Spiske on Unsplash Deep learning has grown in importance as a focus of artificial intelligence research and development in recent years. Deep Reinforcement Learning (DRL) and Generative Adversarial Networks (GANs) are two promising deep learning trends.

Machine Learning 52

Machine Learning Deep Learning Robotics Neural Network 52

Viso.ai

DECEMBER 21, 2023

From the development of sophisticated object detection algorithms to the rise of convolutional neural networks (CNNs) for image classification to innovations in facial recognition technology, applications of computer vision are transforming entire industries. Beyond his impactful industry roles, Karpathy has played a key role in education.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Viso.ai

DECEMBER 6, 2024

To accomplish this, they require two key components: machine learning and computer vision. Machine learning methods represent the brain of the car. After that, they utilize specialized algorithms to identify trends, predict outcomes, and absorb fresh data. It is achieved by computer vision algorithms.

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Computer Vision Convolutional Neural Networks Neural Network Deep Learning 52

AWS Machine Learning Blog

NOVEMBER 16, 2023

Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care. Also in patient monitoring, image guided therapy, ultrasound and personal health teams have been creating ML algorithms and applications.

Data Scientist 107

Data Scientist ML Data Science Automation 107

AWS Machine Learning Blog

JULY 13, 2023

Recent years have shown amazing growth in deep learning neural networks (DNNs). Another way can be to use an AllReduce algorithm. For example, in the ring-allreduce algorithm, each node communicates with only two of its neighboring nodes, thereby reducing the overall data transfers.

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Algorithm Deep Learning Neural Network Machine Learning 76

ML Review

MARCH 31, 2019

In 2014, a group of researchers at Google and NYU found that it was far too easy to fool ConvNets with an imperceivable, but carefully constructed nudge in the input. Up to this point, machine learning algorithms simply didn’t work well enough for anyone to be surprised when it failed to do the right thing. Sharif et al.

Neural Network 52

Neural Network Machine Learning Deep Learning Explainability 52

Dlabs.ai

AUGUST 20, 2020

If you’re looking for the best free eBooks related to artificial intelligence, machine learning, or deep learning – this list is for you. Dive into Deep Learning Authors: Aston Zhang, Zack C. Smola The first eBook on our must-read list is a deep-dive into deep learning.

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Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

ML Review

MAY 3, 2018

Much the same way we iterate, link and update concepts through whatever modality of input our brain takes — multi-modal approaches in deep learning are coming to the fore. While an oversimplification, the generalisability of current deep learning approaches is impressive.

Neural Network 52

Neural Network Computer Vision Deep Learning NLP 52

Heartbeat

APRIL 18, 2023

HAR systems typically use machine learning algorithms to learn and classify human actions based on the visual features extracted from the input data. The VGG model The VGG ( Visual Geometry Group ) model is a deep convolutional neural network architecture for image recognition tasks. Zisserman and K.

Convolutional Neural Networks 52

Convolutional Neural Networks Deep Learning Neural Network Machine Learning 52

PyImageSearch

OCTOBER 2, 2023

Jump Right To The Downloads Section A Deep Dive into Variational Autoencoder with PyTorch Introduction Deep learning has achieved remarkable success in supervised tasks, especially in image recognition. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

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Viso.ai

MAY 31, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. As a result of Pascal VOC, researchers, and developers were able to compare various algorithms and methods on an entity basis. Get a demo here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

Mlearning.ai

FEBRUARY 15, 2023

Uysal and Gunal, 2014). Figure 4 Data Cleaning Conventional algorithms are often biased towards the dominant class, ignoring the data distribution. Figure 11 Model Architecture The algorithms and models used for the first three classifiers are essentially the same.

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BERT NLP Natural Language Processing Algorithm 52

Mlearning.ai

JULY 31, 2023

Things become more complex when we apply this information to Deep Learning (DL) models, where each data type presents unique challenges for capturing its inherent characteristics. 2014; Bojanowski et al., Likewise, sound and text have no meaning to a computer. Instead, why not use a set of embeddings that are already trained?

Deep Learning 52

Deep Learning Computer Vision Algorithm ML 52

NVIDIA

NOVEMBER 3, 2023

Financial Services: Securing Digital Transactions, Payments and Portfolios Banks, asset managers, insurers and other financial service organizations are using AI and machine learning to deliver superior performance in fraud detection, portfolio management, algorithmic trading and self-service banking. airport websites last year.

Machine Learning 73

Machine Learning AI AI Deep Learning 73

Viso.ai

JULY 17, 2024

Background and History of Neural Style Transfer NST is an example of an image styling problem that has been in development for decades, with image analogies and texture synthesis algorithms paving foundational work for NST. With deep learning, the results were impressively good. Here is the journey of NST. Gatys et al.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

Allen AI

JUNE 1, 2023

In 2014, in the early stages of the current AI boom, I was selected to participate in a winter school co-organized by my university and CMU that exposed me to deep learning frameworks. This provided me with the necessary spark to pursue a PhD in ML/AI at Georgia Tech. What is your favorite thing about working at AI2?

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