AWS Machine Learning Blog

APRIL 3, 2025

AI/ML and generative AI: Computer vision and intelligent insights As drones capture video footage, raw data is processed through AI-powered models running on Amazon Elastic Compute Cloud (Amazon EC2) instances. It even aids in synthetic training data generation, refining our ML models for improved accuracy.

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Unite.AI

APRIL 6, 2025

Wendys AI-Powered Drive-Thru System (FreshAI) FreshAI uses advanced natural language processing (NLP) , machine learning (ML) , and generative AI to optimize the fast-food ordering experience. FreshAI enhances order speed, accuracy, and personalization, setting a new benchmark for AI-driven automation in quick-service restaurants (QSRs).

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Viso.ai

DECEMBER 1, 2024

This article covers an extensive list of novel, valuable computer vision applications across all industries. Find the best computer vision projects, computer vision ideas, and high-value use cases in the market right now. provides Viso Suite , the world’s only end-to-end Computer Vision Platform.

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BAIR

MARCH 11, 2024

Their work at BAIR, ranging from deep learning, robotics, and natural language processing to computer vision, security, and much more, has contributed significantly to their fields and has had transformative impacts on society. Specifically, I work on methods that algorithmically generates diverse training environments (i.e.,

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).

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Unite.AI

AUGUST 2, 2023

To tackle the issue of single modality, Meta AI released the data2vec, the first of a kind, self supervised high-performance algorithm to learn patterns information from three different modalities: image, text, and speech. Why Does the AI Industry Need the Data2Vec Algorithm?

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Marktechpost

FEBRUARY 23, 2025

Furthermore, these frameworks often lack flexibility in assessing diverse research outputs, such as novel algorithms, model architectures, or predictions. This system, the first Gym environment for ML tasks, facilitates the study of RL techniques for training AI agents. Check out the Paper and GitHub Page.

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Viso.ai

DECEMBER 20, 2023

In the field of computer vision, supervised learning and unsupervised learning are two of the most important concepts. In this guide, we will explore the differences and when to use supervised or unsupervised learning for computer vision tasks. We will also discuss which approach is best for specific applications.

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Viso.ai

FEBRUARY 25, 2024

Image reconstruction is an AI-powered process central to computer vision. In this article, we’ll provide a deep dive into using computer vision for image reconstruction. About Us: Viso Suite is the end-to-end computer vision platform helping enterprises solve challenges across industry lines.

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Flipboard

JANUARY 6, 2025

The agency wanted to use AI [artificial intelligence] and ML to automate document digitization, and it also needed help understanding each document it digitizes, says Duan. The demand for modernization is growing, and Precise can help government agencies adopt AI/ML technologies.

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Marktechpost

AUGUST 1, 2024

MoNE integrates a nested architecture within Vision Transformers, where experts with varying computational capacities are arranged hierarchically. Each token is dynamically routed to an appropriate expert using the Expert Preferred Routing (EPR) algorithm. If you like our work, you will love our newsletter.

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Marktechpost

DECEMBER 14, 2023

Many branches of biology, including ecology, evolutionary biology, and biodiversity, are increasingly turning to digital imagery and computer vision as research tools. The researchers have identified two main obstacles to creating a vision foundation model in biology. If you like our work, you will love our newsletter.

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Unite.AI

FEBRUARY 12, 2025

The software leverages machine learning algorithms to analyze historical sales, seasonality, and other variables, producing more accurate forecasts than manual spreadsheet methods. The AI/ML engine built into MachineMetrics analyzes this machine data to detect anomalies and patterns that might indicate emerging problems. Visit Fiix 7.

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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. It’s the major reason why its difficult to build a standard ML architecture for IoT networks.

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Unite.AI

SEPTEMBER 15, 2023

Artificial Intelligence and Machine Learning Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing various domains such as natural language processing , computer vision , speech recognition , recommendation systems, and self-driving cars.

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Unite.AI

NOVEMBER 6, 2023

With these advancements, it’s natural to wonder: Are we approaching the end of traditional machine learning (ML)? Traditional machine learning is a broad term that covers a wide variety of algorithms primarily driven by statistics. The two main types of traditional ML algorithms are supervised and unsupervised.

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AWS Machine Learning Blog

JANUARY 31, 2024

In the first part of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Specifically, the JPEG algorithm operates on an 8×8 pixel grid. Set up Amazon SageMaker Studio.

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AI Weekly

JULY 13, 2023

psychologytoday.com Decoding How Spotify Recommends Music to Users Machine learning (ML) and artificial intelligence (AI) have revolutionized the music streaming industry by enhancing the user experience, improving content discovery, and enabling personalized recommendations. [Try Pluto for free today] pluto.fi AlphaGO was.

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AI Weekly

JUNE 22, 2023

Million Key trends in AI in packaging include predictive maintenance, quality assurance through computer vision, supply chain optimization, voice and image recognition for hands-free operations, and data analytics for insights into consumer behavior and operational efficiency. techxplore.com What Is Unsupervised Machine Learning?

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AWS Machine Learning Blog

OCTOBER 24, 2024

Amazon Rekognition people pathing is a machine learning (ML)–based capability of Amazon Rekognition Video that users can use to understand where, when, and how each person is moving in a video. ByteTrack is an algorithm for tracking multiple moving objects in videos, such as people walking through a store.

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Marktechpost

DECEMBER 12, 2024

As artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) become central to innovation across industries, they also bring challenges that cannot be ignored. These workloads demand powerful computing resources, efficient memory management, and well-optimized software to make the most of the hardware.

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Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. Deploy traditional models to SageMaker endpoints In the following examples, we showcase how to use ModelBuilder to deploy traditional ML models.

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Towards AI

JANUARY 31, 2025

Explainability leverages user interfaces, charts, business intelligence tools, some explanation metrics, and other methodologies to discover how the algorithms reach their conclusions.

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Unite.AI

MARCH 6, 2025

It analyzes over 250 data points per property using proprietary algorithms to forecast which homes are most likely to list within the next 12 months. Top Features: Predictive analytics algorithm that identifies 70%+ of future listings in a territory. to integrate valuations into your website or CRM) Visit HouseCanary 4.

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Flipboard

DECEMBER 3, 2024

As a global leader in agriculture, Syngenta has led the charge in using data science and machine learning (ML) to elevate customer experiences with an unwavering commitment to innovation. His primary focus lies in using the full potential of data, algorithms, and cloud technologies to drive innovation and efficiency.

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Viso.ai

NOVEMBER 30, 2024

Edge Intelligence or Edge AI moves AI computing from the cloud to edge devices, where data is generated. This is a key to building distributed and scalable AI systems in resource-intensive applications such as Computer Vision. In this article, we discuss the following topics: What is Edge Computing, and why do we need it?

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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. According to IBM, Object detection is a computer vision task that looks for items in digital images.

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AWS Machine Learning Blog

JANUARY 21, 2025

In this post, we show you how Amazon Web Services (AWS) helps in solving forecasting challenges by customizing machine learning (ML) models for forecasting. This visual, point-and-click interface democratizes ML so users can take advantage of the power of AI for various business applications. One of these methods is quantiles.

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Unite.AI

DECEMBER 20, 2023

In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Algorithmic Complexity Complex AI algorithms often have complex architectures and numerous hyperparameters. Moreover, troubleshooting and debugging are facilitated by reproducibility.

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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. Sensor Fusion: When dealing with multiple sensory inputs, an agent might rely on sensor fusion algorithms.

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Marktechpost

JULY 24, 2024

Addressing this challenge, researchers from Eindhoven University of Technology have introduced a novel method that leverages the power of pre-trained Transformer models, a proven success in various domains such as Computer Vision and Natural Language Processing. This issue is crucial in achieving optimal performance in AutoML.

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Towards AI

NOVEMBER 2, 2024

Model deployment is the process of making a model accessible and usable in production environments, where it can generate predictions and provide real-time insights to end-users and it’s an essential skill for every ML or AI engineer. 🤖 What is Detectron2? Image taken from the official Colab for Detectron2 training.

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IBM Journey to AI blog

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. Computer vision is a factor in the development of self-driving cars.

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IBM Journey to AI blog

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. ML algorithms understand language in the NLU subprocesses and generate human language within the NLG subprocesses. DL, a subset of ML, excels at understanding context and generating human-like responses.

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IBM Journey to AI blog

DECEMBER 20, 2023

It will also determine the talent the organization needs to develop, attract or retain with relevant skills in data science, machine learning (ML) and AI development. It will also guide the procurement of the necessary hardware, software and cloud computing resources to ensure effective AI implementation.

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AWS Machine Learning Blog

JANUARY 31, 2025

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. His passion is for solving challenging real-world computer vision problems and exploring new state-of-the-art methods to do so.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

You can now use state-of-the-art model architectures, such as language models, computer vision models, and more, without having to build them from scratch. This approach allows for greater flexibility and integration with existing AI and ML workflows and pipelines. He focuses on developing scalable machine learning algorithms.

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