PyImageSearch

FEBRUARY 6, 2023

This is the 3rd lesson in our 4-part series on OAK 101 : Introduction to OpenCV AI Kit (OAK) OAK-D: Understanding and Running Neural Network Inference with DepthAI API Training a Custom Image Classification Network for OAK-D (today’s tutorial) OAK 101: Part 4 To learn how to train an image classification network for OAK-D, just keep reading.

Deep Learning 144

Deep Learning Deep Learning Python Data Analysis 144

Dataconomy

MAY 23, 2023

The advent of edge computing is poised to have a significant influence on various industries, exerting its effect on both current and forthcoming verticals. Although certain sectors have already experienced the initial waves of this impact, others are anticipated to adopt it at a relatively slower pace.

Cloud Computing 164

Cloud Computing Data Analysis Data Analysis Analytics 164

Dataconomy

SEPTEMBER 11, 2023

Telemetry data offers us a way to automatically collect and analyze data, providing insights into how we can improve our products and services. Telemetry data is collected from remote devices, such as sensors, cameras, and GPS tracking devices ( Image credit ) What is telemetry data?

Analytics 103

Analytics Analytics Algorithm ML 103

AWS Machine Learning Blog

MARCH 27, 2024

In this post, we guide you through the process of fine-tuning the Amazon Titan Image Generator model to learn two new categories: Ron the dog and Smila the cat, our favorite pets. We discuss how to prepare your data for the model fine-tuning task and how to create a model customization job in Amazon Bedrock.

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Smart Data Collective

MARCH 27, 2020

Insurance companies place certain professions in a lower risk category or offer discounts to others. Other types of traditional data auto insurers consider are your credit score, driving history, and how frequently you submit claims. With the technology available today, there’s even more data to draw from. This includes: Age.

Data Analysis 108

Data Analysis Data Analysis Big Data Big Data 108

Smart Data Collective

SEPTEMBER 30, 2021

Often times, we will hear from various forms of media that we should be aiming to reduce our individual and collective carbon footprints – however, how can cities and organizations accurately calculate their contributions to carbon emissions? But what if machine learning could be used beyond niche or individual contexts? city inhabitants) 1.

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IBM Journey to AI blog

OCTOBER 16, 2023

ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history. Here are some real-world applications of machine learning that have become part of our everyday lives.

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Machine Learning Machine Learning ML ML 51

Flipboard

MAY 17, 2023

And I think what they say, interestingly, is how much of our language is very much rote, R-O-T-E, rather than generated directly, because it can be collapsed down to this set of parameters. But in that Seven Deadly Sins article, I said that one of the deadly sins was how we humans mistake performance for competence. I’ll give you that.

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Cloud Computing AI AI Computer Science 182

AWS Machine Learning Blog

NOVEMBER 15, 2023

In this post, we explore the basics of visual prompt engineering, its benefits, and how it can be used to solve a specific use case: image segmentation for autonomous driving. This extensive dataset covers a wide range of objects and categories, providing SAM with a diverse and large-scale training data source.

Machine Learning 90

Machine Learning Machine Learning ML ML 90

Smart Data Collective

JANUARY 6, 2021

Sports teams across categories are using players’ performance data as a reference point for potential and making sure players are a good fit. However, over time the sector is getting introduced with several new generation technologies intended to make it efficient and smart. The sector has reached a market value of $388.3 billion in 2020.

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Google Research AI blog

JUNE 6, 2023

However, there are various situations where dynamic visual augmentation would be useful to better convey complex and nuanced information. For example, when discussing what to order at a Japanese restaurant, your friends could share visuals that would help you feel more confident about ordering the “Sukiyaki”.

Deep Learning 69

Deep Learning Deep Learning 69

Chatbots Life

APRIL 19, 2024

However, Sarah has specific questions about the smartphone’s camera capabilities and whether it’s compatible with her existing accessories. These queries fall into a more complex category and necessitate a more personalized touch. It even offers to assist with placing an order.

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Natural Language Processing Python AI AI 52

PyImageSearch

DECEMBER 19, 2022

This is the 2nd lesson in our 4-part series on OAK-101 : Introduction to OpenCV AI Kit (OAK) OAK-D: Understanding and Running Neural Network Inference with DepthAI API (today’s tutorial) OAK 101: Part 3 OAK 101: Part 4 To learn how DepthAI API works and run neural network inference on OAK-D, just keep reading.

Deep Learning 52

Deep Learning Deep Learning Python AI 52

Iguazio

DECEMBER 5, 2023

To cater to a wide variety of needs, these free datasets for machine learning cover a diverse set of categories and use cases: Sentiment analysis Language and docs For ethical AI use Industries Images and videos When training and developing your models, don’t neglect the final phase - a deployed LLM (or other type of model).

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Machine Learning Machine Learning ML ML 98

Pickl AI

JULY 28, 2023

It is a branch of Machine Learning and Artificial Intelligence (AI) that enables computers to interpret visual input like how people see and identify objects. Image Recognition aims to assign labels or categories to the entire image based on its content. Why Image Recognition Matters?

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Heartbeat

JULY 20, 2023

Handling unstructured and unevenly distributed 3D data: With the rise of image acquisition equipment such as LiDAR cameras, there is a growing need for segmentation techniques in 3D data, such as point clouds, voxels, etc. Some common tasks include image classification, facial detection, pose estimation, segmentation, etc.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. If you’re short on time, we’ll cut right to the chase here. We think the best datasets are available for free on Roboflow. After you create a free account, you’ll have access to the best machine learning datasets. Many call this software 2.0.

Machine Learning 104

Machine Learning Machine Learning Deep Learning Deep Learning 104

Dataconomy

APRIL 27, 2023

AI computers are real now, and they are rapidly changing the world around us and already being used in a wide range of applications in various sectors. The capacity of computers to think, learn, make decisions, and be creative are all examples of what we mean when we talk about artificial intelligence (AI). What is AI computing?

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The MLOps Blog

JANUARY 5, 2023

2 How is visual search different from OCR? All the mobile phones now have this functionality that they can recognize you based on the camera feed or the face camera, and essentially a similar thing we are trying to build for animals, where tracking animals becomes more important. You’ll learn about: 1 What is visual search?

Machine Learning 52

Machine Learning Machine Learning Database ML 52

Hacker News

JANUARY 26, 2024

Every now and then, a piece of luggage contains something truly extraordinary, like a suit of armor, an Egyptian artifact, or a camera used in NASA’s Space Shuttle program. How does the process work? And how did one company come to monopolize this niche market? What are the ethics of reselling travelers’ intimate items?

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AWS Machine Learning Blog

JULY 3, 2023

Specifically, for deep learning-based autonomous vehicle (AV) and Advanced Driver Assistance Systems (ADAS), there is a need to label complex multi-modal data from scratch, including synchronized LiDAR, RADAR, and multi-camera streams. It’s one of the prerequisite tasks to prepare training data to train a deep learning model.

Deep Learning 81

Deep Learning Deep Learning AWS Machine Learning 81

Mlearning.ai

JUNE 6, 2023

Working video of our App [link] How to run Healthcure App [link] 2. Read the full article here —  [link] Though textbooks and other study materials will provide you with all the knowledge that you need to know about any technology but you can’t really master that technology until and unless you work on some real-time projects.

Machine Learning 52

Machine Learning Machine Learning Python Deep Learning 52

DagsHub

MAY 7, 2024

We are all still trying to figure out how to test machine learning models. This surge in interest from both businesses and the general public has been fueled by the excitement around latest AI technologies, such as ChatGPT. These objectives are crucial for building trust in the model’s effectiveness and applicability in real-world scenarios.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

DagsHub

MAY 7, 2024

We are all still trying to figure out how to test machine learning models. This surge in interest from both businesses and the general public has been fueled by the excitement around latest AI technologies, such as ChatGPT. These objectives are crucial for building trust in the model’s effectiveness and applicability in real-world scenarios.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

AWS Machine Learning Blog

JUNE 27, 2023

One such application is EarthSnap , an AI-powered image recognition application that enables users to identify all types of plants and animals, using the camera on their smartphone. This blog post is co-written with Marat Adayev and Dmitrii Evstiukhin from Provectus. The models developed by Earth.com lived across various notebooks.

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ML ML AWS Machine Learning 94

Google Research AI blog

MARCH 23, 2023

While there have been many recent advances in training joint visual-language models on Internet-scale data, figuring out how to best connect them to a spatial representation of the physical world that can be used by robots remains an open research question.

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Google Research AI blog

JANUARY 18, 2023

Our ongoing work on LaMDA explores how these models can be used for safe, grounded, and high-quality dialog to enable contextual multi-turn conversations. I’ve always been interested in computers because of their ability to help people better understand the world around them. We want to solve complex mathematical or scientific problems.

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ML ML AI AI 132

BAIR

MAY 3, 2022

How do we build and evaluate an AI system for real-world applications? In other words, we need to incorporate human effort/annotations regardless of how the models perform on previous testing sets. reliability); and 3) the percentage of novel categories that are detected as low-confidence predictions (i.e.,

AI 59

AI AI Supervised Learning Artificial Intelligence 59

Snorkel AI

JANUARY 18, 2023

A slide from Ratner’s presentation showing how he believes companies can get use from Foundation Models. Penna walked the audience through his career—from YouTube creator to feature film director to his work at Stability AI—before showing how generative AI could have saved his productions time and money.

ML 52

ML ML AI AI 52

Heartbeat

FEBRUARY 6, 2023

Examples of object detection applications include detecting abnormal movement from security cameras, obstacle detection in autonomous driving, and character detection from within a document. How do Object Detection Algorithms Work? There are two main categories of object detection algorithms. are extracted.

Algorithm 90

Algorithm Deep Learning Deep Learning ML 90

The MLOps Blog

MAY 9, 2023

One of the most prevalent complaints we hear from ML engineers in the community is how costly and error-prone it is to manually go through the ML workflow of building and deploying models. Building end-to-end machine learning pipelines lets ML engineers build once, rerun, and reuse many times. If all goes well, of course ?

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ML ML Machine Learning Machine Learning 98

AWS Machine Learning Blog

JULY 20, 2023

In recent years, the company has invested heavily in the machine learning (ML) sector by developing strong in-house know-how that has enabled them to realize very ambitious projects such as automatic monitoring of its 2.3 It is also recognized as the first renewables player with 55.4 GW of installed capacity.

ML 66

ML ML Machine Learning Machine Learning 66

Snorkel AI

SEPTEMBER 12, 2023

Tell us a little bit about how that all started, and what you think was the most exciting accomplishment from serving in the position. ” Dj Patil George Washington was really focused on how to think about mapping. The two held a wide-ranging conversation covering topics including what it was like to be the first U.S.

Data Scientist 59

Data Scientist Data Science AI AI 59

Snorkel AI

SEPTEMBER 12, 2023

Tell us a little bit about how that all started, and what you think was the most exciting accomplishment from serving in the position. ” Dj Patil George Washington was really focused on how to think about mapping. The two held a wide-ranging conversation covering topics including what it was like to be the first U.S.

Data Scientist 59

Data Scientist Data Science AI AI 59

Flipboard

NOVEMBER 22, 2023

More AI analysis-ready datasets on the Registry of Open Data The Multi-robot, Multi-Sensor, Multi-Environment Event Dataset (M3ED ) is the first multi-sensor event camera dataset focused on high-speed dynamic motions in robotics applications. Learn how to propose your dataset to the AWS Open Data Sponsorship Program.

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AWS Machine Learning Machine Learning ML 84

IBM Journey to AI blog

FEBRUARY 9, 2024

2024 thus stands to be a pivotal year for the future of AI, as researchers and enterprises seek to establish how this evolutionary leap in technology can be most practically integrated into our everyday lives. The evolution of generative AI has mirrored that of computers, albeit on a dramatically accelerated timeline.

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