ODSC - Open Data Science

FEBRUARY 10, 2025

A/V analysis and detection are some of machine learnings most practical applications. Many tools apply these capabilities to text-based data or network traffic, but audio and video use cases are also worthnoting. Choose an Appropriate Algorithm As with all machine learning processes, algorithm selection is also crucial.

Machine Learning 52

Machine Learning Convolutional Neural Networks Neural Network Natural Language Processing 52

Unite.AI

MAY 31, 2023

A neural network (NN) is a machine learning algorithm that imitates the human brain's structure and operational capabilities to recognize patterns from training data. Lack of Literature Liquid Neural Networks have limited literature on implementation, application, and benefits.

Neural Network 354

Neural Network Convolutional Neural Networks Artificial Intelligence Artificial Intelligence 354

Unite.AI

SEPTEMBER 3, 2024

Computational power has become a critical factor in pushing the boundaries of what's possible in machine learning. As models grow more complex and datasets expand exponentially, traditional CPU-based computing often falls short of meeting the demands of modern machine learning tasks.

Machine Learning 130

Machine Learning Convolutional Neural Networks Neural Network Algorithm 130

Marktechpost

SEPTEMBER 1, 2023

Incorporating machine learning and deep learning algorithms has shown promise in bolstering security. In addition, the study highlights that hybrid schemes combining deep learning features with deep learning/machine learning classification can significantly improve authentication performance.

Deep Learning 104

Deep Learning Machine Learning Algorithm Convolutional Neural Networks 104

Pickl AI

SEPTEMBER 5, 2024

Summary: Convolutional Neural Networks (CNNs) are essential deep learning algorithms for analysing visual data. They automatically extract and learn features, making them ideal for tasks like image classification and object detection. What are Convolutional Neural Networks?

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 52

AWS Machine Learning Blog

MARCH 21, 2025

JupyterLab applications flexible and extensive interface can be used to configure and arrange machine learning (ML) workflows. We use JupyterLab to run the code for processing formulae and charts. Amazon Simple Storage Service (Amazon S3) Amazon S3 is an object storage service built to store and protect any amount of data.

Metadata 114

Metadata Convolutional Neural Networks Generative AI Data Scientist 114

Unite.AI

SEPTEMBER 21, 2023

Organizations and practitioners build AI models that are specialized algorithms to perform real-world tasks such as image classification, object detection, and natural language processing. Some prominent AI techniques include neural networks, convolutional neural networks, transformers, and diffusion models.

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Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 289

AI Weekly

MARCH 21, 2024

nature.com Authorship attribution in twitter: a comparative study of machine learning and deep learning approaches This study proposes an AA approach using machine and deep learning algorithms to accurately predict the author of unknown posts on social media platforms.

Convolutional Neural Networks 261

Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 261

AssemblyAI

JANUARY 23, 2025

Speech recognition is a technology that enables machines to recognize and convert spoken language into text. It works by analyzing audio signals, identifying patterns, and matching them to words and phrases using advanced algorithms. However, wav2letter does come with challenges that may deter less experienced developers.

Python 130

Python Convolutional Neural Networks Neural Network OpenAI 130

Towards AI

APRIL 7, 2024

Created by the author with DALL E-3 Statistics, regression model, algorithm validation, Random Forest, K Nearest Neighbors and Naïve Bayes— what in God’s name do all these complicated concepts have to do with you as a simple GIS analyst? You just want to create and analyze simple maps not to learn algebra all over again.

Machine Learning 105

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 105

AWS Machine Learning Blog

NOVEMBER 26, 2024

He is passionate about generative AI and is helping customers unlock business potential and drive actionable outcomes with machine learning at scale. You can also ask the model to combine its knowledge with the knowledge from the graph. Santosh Kulkarni is an Senior Solutions Architect at Amazon Web Services specializing in AI/ML.

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Convolutional Neural Networks LLM Metadata Explainability 102

Unite.AI

AUGUST 2, 2023

Machine learning models have heavily relied on labeled data for training, and traditionally speaking, training models on labeled data yields accurate results. To tackle the annotation issue, developers came up with the concept of SSL or Self Supervised Learning. They require a high amount of computational power.

Computer Vision 246

Computer Vision Algorithm Natural Language Processing Convolutional Neural Networks 246

Towards AI

APRIL 27, 2023

Understanding the Principles, Challenges, and Applications of Gradient Descent Image by Author with @MidJourney Introduction to Gradient Descent Gradient descent is a fundamental optimization algorithm used in machine learning and data science to find the optimal values of the parameters in a model.

Machine Learning 98

Machine Learning Neural Network Convolutional Neural Networks Algorithm 98

Heartbeat

FEBRUARY 6, 2023

How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. Two-Stage Algorithms: Two-stage object detection algorithms consist of two different stages. In the second step, these potential fields are classified and corrected by the neural network model.

Algorithm 90

Algorithm Convolutional Neural Networks Neural Network Computer Vision 90

Viso.ai

JANUARY 2, 2024

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Whether you’re a beginner or an experienced practitioner, this guide will provide insights into the mechanics of artificial neural networks and their applications. Howard et al.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Marktechpost

JANUARY 30, 2025

Contrastingly, agentic systems incorporate machine learning (ML) and artificial intelligence (AI) methodologies that allow them to adapt, learn from experience, and navigate uncertain environments. Image Embeddings: Convolutional neural networks (CNNs) or vision transformers can transform images into dense vector embedding.

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Robotics Convolutional Neural Networks Large Language Models AI 116

Marktechpost

OCTOBER 4, 2024

Ready Tensor conducted an extensive benchmarking study to evaluate the performance of 25 machine learning models on five distinct datasets to improve time series step classification accuracy in their latest publication on Time Step Classification Benchmarking.

Neural Network 104

Neural Network Machine Learning Convolutional Neural Networks Categorization 104

Marktechpost

SEPTEMBER 24, 2024

The success of this model reflects a broader shift in computer vision towards machine learning approaches that leverage large datasets and computational power. Previously, researchers doubted that neural networks could solve complex visual tasks without hand-designed systems. by the next-best model.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 62

NVIDIA

OCTOBER 8, 2024

A recently released joint research paper by Yale, Moderna and NVIDIA reviews how techniques from quantum machine learning (QML) may enhance drug discovery methods by better predicting molecular properties. The review also emphasizes that the key tool for exploring these methods is GPU-accelerated simulation of quantum algorithms.

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Convolutional Neural Networks Neural Network Machine Learning Algorithm 117

AWS Machine Learning Blog

MARCH 30, 2023

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. The model extracts features from the image using a convolutional neural network. As input, the model takes an image and a corresponding bounding box annotation.

Machine Learning 96

Machine Learning Convolutional Neural Networks Neural Network Computer Vision 96

Flipboard

FEBRUARY 7, 2025

An AI algorithm may help identify breast cancer on MRI scans 1 year earlier than current methods allow, according to research published in Academic Radiology.Researchers trained the convolutional neural network AI model using MRI from 52,598 breasts.

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Convolutional Neural Networks Neural Network Algorithm AI Modeling 109

ODSC - Open Data Science

NOVEMBER 28, 2024

NVIDIA’s AI Tools Suite to Aid in Accelerated Humanoid Robotics Development NVIDIA’s AI tools suite may drive developers toward complex machine learning and natural language processing solutions. In all likelihood, AI technology and humanoid robotics will progress hand in hand in the coming years.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network LLM Natural Language Processing 52

Marktechpost

JUNE 3, 2024

This article lists top Intel AI courses, including those on deep learning, NLP, time-series analysis, anomaly detection, robotics, and edge AI deployment, providing a comprehensive learning path for leveraging Intel’s AI technologies. Deep Learning for Robotics This course teaches applying machine learning to robotics.

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Convolutional Neural Networks Neural Network Deep Learning Computer Vision 122

Viso.ai

DECEMBER 19, 2023

Today, the use of convolutional neural networks (CNN) is the state-of-the-art method for image classification. Image Classification Using Machine Learning CNN Image Classification (Deep Learning) Example applications of Image Classification Let’s dive deep into it! How Does Image Classification Work?

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

Marktechpost

JULY 5, 2023

This is where machine learning techniques are proven to be useful. Particularly in “weather forecasting” and “spatial downscaling,” these algorithms have proven to be competitive with more established climate models. When it comes to applying machine learning, the two take contrasting approaches.

Machine Learning 98

Machine Learning Python Convolutional Neural Networks Neural Network 98

Pickl AI

AUGUST 28, 2024

Summary: This comprehensive guide covers the basics of classification algorithms, key techniques like Logistic Regression and SVM, and advanced topics such as handling imbalanced datasets. It also includes practical implementation steps and discusses the future of classification in Machine Learning. What is Classification?

Machine Learning 52

Machine Learning Algorithm Categorization Neural Network 52

Pickl AI

AUGUST 3, 2023

Introduction to Deep Learning Algorithms: Deep learning algorithms are a subset of machine learning techniques that are designed to automatically learn and represent data in multiple layers of abstraction. How Deep Learning Algorithms Work?

Deep Learning 52

Deep Learning Machine Learning Algorithm Neural Network 52

Towards AI

JULY 9, 2024

Advances in artificial intelligence and machine learning have led to the development of increasingly complex object detection algorithms, which allow us to efficiently and precisely interpret large volumes of geographical data. This is somewhat of a popular algorithm for geospatial analysis. What is Object Detection?

Convolutional Neural Networks 109

Convolutional Neural Networks ML Neural Network Computer Vision 109

Flipboard

NOVEMBER 5, 2024

It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in the risk diagnosis and prognosis of endometrial cancer (EC).

Convolutional Neural Networks 136

Convolutional Neural Networks Artificial Intelligence Artificial Intelligence Neural Network 136

AWS Machine Learning Blog

DECEMBER 7, 2023

Amazon Forecast is a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts. Calculating courier requirements The first step is to estimate hourly demand for each warehouse, as explained in the Algorithm selection section.

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Convolutional Neural Networks Algorithm Neural Network Data Science 125

Unite.AI

AUGUST 29, 2023

In the past few years, Artificial Intelligence (AI) and Machine Learning (ML) have witnessed a meteoric rise in popularity and applications, not only in the industry but also in academia. Recent research in the field of IoT edge computing has demonstrated the potential to implement Machine Learning techniques in several IoT use cases.

Neural Network 246

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ODSC - Open Data Science

SEPTEMBER 18, 2024

Convolutional neural networks (CNNs) differ from conventional, fully connected neural networks (FCNNs) because they process information in distinct ways. CNNs use a three-dimensional convolution layer and a selective type of neuron to compute critical artificial intelligence processes.

Convolutional Neural Networks 40

Convolutional Neural Networks Neural Network Data Scientist Computer Vision 40

IBM Journey to AI blog

MAY 6, 2024

Machine learning and deep neural network models can effectively analyze this data to identify patterns, correlations and relationships, which is particularly useful for understanding a patient’s unique profile.

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Convolutional Neural Networks Neural Network Computer Vision AI 252

Marktechpost

APRIL 12, 2024

This article explores some of the most influential deep learning architectures: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transformers, and Encoder-Decoder architectures, highlighting their unique features, applications, and how they compare against each other.

Deep Learning 137

Deep Learning Convolutional Neural Networks Neural Network Natural Language Processing 137

How to Learn Machine Learning

AUGUST 15, 2024

In this blog post we will speak about how to create a Machine Learning Portfolio, a very useful piece of content for landing a job on Artificial Intelligence and creating a data base of knowledge for future use. How to Create a Machine Learning Portfolio Creating an effective portfolio requires careful planning and execution.

Machine Learning 64

Machine Learning Convolutional Neural Networks Neural Network Artificial Intelligence 64

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. Detecting people in video streams is an important task in modern video surveillance systems.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 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

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Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98