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. However, the growing influence of ML isn’t without complications.

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AWS Machine Learning Blog

DECEMBER 14, 2023

To overcome this business challenge, ICL decided to develop in-house capabilities to use machine learning (ML) for computer vision (CV) to automatically monitor their mining machines. As a traditional mining company, the availability of internal resources with data science, CV, or ML skills was limited.

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AI Weekly

JULY 13, 2023

techxplore.com A deep learning approach to private data sharing of medical images using conditional generative adversarial networks (GANs) Clinical data sharing can facilitate data-driven scientific research, allowing a broader range of questions to be addressed and thereby leading to greater understanding and innovation.

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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. By farming a chosen territory, agents receive smart data leads with high seller propensity scores. to integrate valuations into your website or CRM) Visit HouseCanary 4.

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IBM Journey to AI blog

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Alternatives to Rekognition people pathing One alternative to Amazon Rekognition people pathing combines the open source ML model YOLOv9 , which is used for object detection, and the open source ByteTrack algorithm, which is used for multi-object tracking.

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PyImageSearch

MARCH 31, 2025

Computer Science: Algorithms for graphics rendering, machine learning, and data analysis often rely on solving large systems of linear equations efficiently. Figure 4: Matrix factorization (source: Towards Data Science ). Or requires a degree in computer science? Join me in computer vision mastery.

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Unite.AI

NOVEMBER 6, 2023

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. These algorithms are designed to develop models from structured datasets. Principal Component Analysis (PCA).

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Unite.AI

SEPTEMBER 18, 2023

Artificial Intelligence is a very vast branch in itself with numerous subfields including deep learning, computer vision , natural language processing , and more. The Paillier algorithm works as depicted. Large-scale data analysis methods that offer privacy protection by utilizing both blockchain and AI technology.

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Marktechpost

JANUARY 30, 2025

This paradigm shift is particularly visible in applications such as: Autonomous Vehicles Self-driving cars and drones rely on perception modules (sensors, cameras) fused with advanced algorithms to operate in dynamic traffic and weather conditions. This process merges data into a single coherent representation.

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IBM Journey to AI blog

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions. Morgan and Spotify.

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Unite.AI

AUGUST 21, 2023

In a dataset comprising 164 original programming problems, which includes language comprehension, algorithms, and basic math tests, Codex with 12B parameters solved 28.8% Code Reviews and Data Validation : AI-driven tools like ChatGPT can aid in enhancing the quality and security of software codebases. of them on a single attempt.

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Viso.ai

DECEMBER 6, 2024

Computer vision is a key component of self-driving cars. To obtain this data, a vehicle makes use of cameras and sensors. In this article, we’ll elaborate on how computer vision enhances these cars. To accomplish this, they require two key components: machine learning and computer vision.

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Viso.ai

OCTOBER 10, 2024

Moreover, engineers analyze satellite imagery using computer vision models for tasks such as object detection and classification. About us : We empower teams to rapidly build, deploy, and scale computer vision applications with Viso Suite , our comprehensive platform.

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Viso.ai

APRIL 25, 2024

Bias detection in Computer Vision (CV) aims to find and eliminate unfair biases that can lead to inaccurate or discriminatory outputs from computer vision systems. Computer vision has achieved remarkable results, especially in recent years, outperforming humans in most tasks. Let’s get started.

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Viso.ai

MARCH 26, 2024

This drastically enhanced the capabilities of computer vision systems to recognize patterns far beyond the capability of humans. In this article, we present 7 key applications of computer vision in finance: No.1: 2: Automated Document Analysis and Processing No.3: 4: Algorithmic Trading and Market Analysis No.5:

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Viso.ai

JANUARY 29, 2024

Computеr Vision offers promising capabilities in this direction by еnabling visual pattеrn recognition, behavioral analysis, biomеtrics, еtc. This article еxplorеs how Computer Vision techniques can еnhancе the accuracy and efficiency of fraud dеtеction systems.

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ODSC - Open Data Science

MARCH 18, 2025

Sinan Ozdemir, AI & LLM Expert | Author | Founder + CTO of LoopGenius A former Director of Data Science at Directly and AI advisor to Tola Capital, he brings deep expertise in LLMs, machine learning, and algorithm development. Holding a Ph.D.

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IBM Journey to AI blog

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. Establish a data governance framework to manage data effectively.

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Marktechpost

DECEMBER 12, 2024

Enhanced Computer Vision Libraries : Includes refined algorithms that boost performance for vision-based AI tasks like object detection and image processing. AMD Fortran Compiler : Helps bridge legacy codebases to GPU acceleration, offering a practical pathway for scientific computing applications.

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Viso.ai

DECEMBER 19, 2023

This article covers everything you need to know about image classification – the computer vision task of identifying what an image represents. provides the end-to-end Computer Vision Platform Viso Suite. It’s a powerful all-in-one solution for AI vision. How Does Image Classification Work?

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How to Learn Machine Learning

MARCH 23, 2025

Computer Vision : AI systems can now interpret visual information with superhuman accuracy in many contexts. The integration of computer vision with other AI technologies has enabled applications that can perceive, understand, and interact with the physical world in increasingly natural ways.

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Marktechpost

JULY 23, 2023

The lack of data consistency, inadequate formatting, and the desire for significant, labeled datasets have all contributed to the limited success of recent advancements in machine learning, which have enabled quick and more complex visual data analysis.

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Marktechpost

OCTOBER 23, 2024

From the statistical foundations of machine learning to the complex algorithms powering neural networks, mathematics plays a pivotal role in shaping the capabilities and limitations of AI. The chain rule, essential for differentiating composite functions, plays a vital role in backpropagation, the algorithm used to train neural networks.

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Marktechpost

JUNE 5, 2024

These technologies utilize computer vision and deep learning algorithms to analyze data captured by drones, facilitating crop and soil health monitoring. ML algorithms also help predict environmental changes, including weather fluctuations, that impact crop yield.

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IBM Journey to AI blog

JULY 6, 2023

Just as humans can learn through experience rather than merely following instructions, machines can learn by applying tools to data analysis. Machine learning works on a known problem with tools and techniques, creating algorithms that let a machine learn from data through experience and with minimal human intervention.

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Viso.ai

OCTOBER 10, 2024

Pattern recognition is the ability of machines to identify patterns in data, and then use those patterns to make decisions or predictions using computer algorithms. Pattern Recognition in Data Analysis What is Pattern Recognition? provides Viso Suite , the world’s only end-to-end Computer Vision Platform.

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Marktechpost

MAY 30, 2024

By leveraging AI algorithms, space agencies, and private companies are unlocking new frontiers in autonomous decision-making, data analysis, and resource exploration beyond our planet’s boundaries. Satellite Operations : AI revolutionizes satellite operations by enhancing efficiency and safety.

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Towards AI

JULY 18, 2024

From LLMs to quantum computing, data analysis, and beyond, Brilliant helps you level up in minutes a day. It covers how the algorithm works, the math behind it, how to execute it in Python, and an explanation of the proofs from the original paper. Join 10 million learners worldwide and start your 30-day free trial today!

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Marktechpost

JUNE 23, 2024

The difficulty lies in extracting relevant information from images and correlating it with textual data, essential for advancing research and applications in this field. Existing work includes isolated computer vision techniques for image classification and natural language processing for textual data analysis.

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ODSC - Open Data Science

MAY 22, 2023

Training AI-Powered Algorithmic Trading with Python Dr. Yves J. Hilpisch | The AI Quant | CEO The Python Quants & The AI Machine, Adjunct Professor of Computational Finance This session will cover the essential Python topics and skills that will enable you to apply AI and Machine Learning (ML) to Algorithmic Trading.

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Viso.ai

APRIL 10, 2024

Pandas is a free and open-source Python data analysis library specifically designed for data manipulation and analysis. It excels at working with structured data, often encountered in spreadsheets or databases. Financial Analysis: Pandas is used to analyze vast financial datasets, and track market trends.

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Marktechpost

JULY 3, 2024

Their adeptness at natural language processing, content generation, and data analysis has paved the way for numerous applications. Netflix: Evolving Big Data Job Remediation Netflix has shifted from traditional rule-based classifiers to machine learning-powered auto-remediation systems for handling failed big data jobs.

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Marktechpost

AUGUST 25, 2024

With its sophisticated language capabilities, GPT-4 is revolutionizing content creation, enhancing customer engagement, and optimizing data analysis, thereby reshaping the future of digital marketing. Optimizing Data Analysis and Insights Data is the lifeblood of digital marketing.

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Pickl AI

APRIL 6, 2025

This is achieved through algorithms like backpropagation. However, they struggle with complex tasks requiring the extraction of intricate features and relationships within the data. Use Cases: Basic classification and regression tasks, tabular Data Analysis, foundational component in more complex architectures.

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Google Research AI blog

APRIL 18, 2023

Meanwhile, new algorithms have been developed by the research community for several analytic tasks involving private aggregation of data. One such important data aggregation method is the heatmap. Heatmaps are popular for visualizing aggregated data in two or more dimensions.

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Marktechpost

APRIL 29, 2024

Computer vision, machine learning, and data analysis across many fields have all seen a surge in the usage of synthetic data in the past few years. Preprocessing has its limits, and future metric integrations must take into account the fact that synthetic data is very heterogeneous in order to adhere to it.

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