Aiiot Talk

JULY 31, 2023

Strategically placed cameras mounted around farms can capture numerous pictures of every cow’s face daily. One study using this technology combined it with RFID tags that can show the exact location of individual cows at a given time. An AI algorithm analyzes the images and processes them using computer vision.

Machine Learning 130

Machine Learning AI AI Computer Vision 130

Marktechpost

JULY 23, 2023

Source: [link] An illustration of a city scene from our dataset, taken using a circle-shaped camera trajectory at low illumination. We display the camera track, written explanations of the scene, and multiview-calibrated photos.

AI Researcher 52

AI Researcher AI Research AI AI 52

IBM Journey to AI blog

OCTOBER 16, 2023

An unsupervised ML algorithm lets self-driving cars gather data from cameras and sensors to understand what’s happening around them and enables real-time decision-making on actions to take. Companies also take advantage of ML in smartphone cameras. Then, it suggests the social media user tag that individual.

Machine Learning 124

Machine Learning ML Algorithm Chatbots 124

AWS Machine Learning Blog

OCTOBER 2, 2023

Use case: Inspecting the quality of metal tags As an ML engineer, it’s important to understand the business case you are working on. Imagine a production line of a manufacturer that engraves metal tags to create customized luggage tags. To make this process more efficient, we use ML to detect faulty tags early in the process.

DevOps 85

DevOps Automation ML Computer Vision 85

Marktechpost

MAY 8, 2024

AI tools like Adobe’s Sensei also harness machine learning to assist with image editing tasks by automatically tagging photos, enhancing compositions, and suggesting edits. For instance, Autodesk uses AI in its software to help architects and designers explore different configurations efficiently.

Artificial Intelligence 120

Artificial Intelligence Artificial Intelligence Robotics AI 120

NVIDIA

JULY 11, 2023

Join by show us a photo/video of how one of your art projects started and then one of the final result + tag #StartToFinish. If we were to try to compose the entire environment without cameras or direction, it would take much longer, and we wouldn’t have perfectly laid-out camera shots nor specifically lit renders,” said Norris.

AI 60

AI AI 60

IBM Journey to AI blog

FEBRUARY 14, 2024

Companies also take advantage of ML in smartphone cameras to analyze and enhance photos using image classifiers, detect objects (or faces) in the images, and even use artificial neural networks to enhance or expand a photo by predicting what lies beyond its borders. Computer vision guides self-driving cars.

Computer Vision 208

Computer Vision Automation Robotics AI 208

AWS Machine Learning Blog

OCTOBER 2, 2023

The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which you can deploy as part of a manufacturing process. In a production environment, you would typically have an industrial camera delivering images for which the ML model should produce predictions.

Automation 84

Automation DevOps ML Machine Learning 84

AWS Machine Learning Blog

OCTOBER 17, 2023

After discussing and analyzing the information with ranch veterinarians and nutritionists, the AWS Generative AI Innovation Center experts decided to use computer vision (CV) for identification, relying only on ordinary hardware: civilian surveillance cameras, which don’t add any additional burden to the cows and reduce costs and usage barriers.

Computer Vision 90

Computer Vision Algorithm AI AI 90

Bugra Akyildiz

FEBRUARY 17, 2024

What was very interesting to me about the videos is that; it learns very well different types of techniques of camera movements, pan, zoom. Camera movements appear smooth and natural, objects interact realistically, and the overall experience is incredibly immersive.

OpenAI 52

OpenAI Large Language Models LLM Deep Learning 52

Unite.AI

JULY 27, 2023

Due to the substantial computing power required, especially from the graphics processing units (GPUs) and video memory usage for the denoising process, Mid-Journey's service comes with a price tag. The camera is a high – resolution digital camera, capturing every detail with precision.

Prompt Engineer 246

Prompt Engineer Prompt Engineering AI AI 246

NVIDIA

SEPTEMBER 21, 2023

The benefits of Ray Reconstruction shine in the viewport, as rendering during camera movement is notoriously difficult. Show us a photo or video of how one of your art projects started — and then one of the final result — using the hashtag #StartToFinish and tagging @NVIDIAStudio for a chance to be featured! Chaos Vantage DLSS 3.5

Neural Network 105

Neural Network Deep Learning AI AI 105

NVIDIA

JULY 6, 2023

Experimenting with camera angles. Blendeered had numerous RTX-accelerated AI-effects at his disposal, including Cut Scene Detection for automatically tagging clips and tracking of effects, SpeedWarp for smooth slow motion, and seamless video Super Resolution.

Automation 74

Automation AI AI 74

Ofemwire

MARCH 1, 2024

Optimizing content with relevant keywords, meta tags, headings, and other SEO elements can help improve its visibility and ranking. Discuss popular smart home devices and ecosystems, such as smart speakers, thermostats, cameras, and lighting systems, and explore their features and functionalities.

AI 111

AI AI Natural Language Processing Explainability 111

AWS Machine Learning Blog

JULY 3, 2023

In computer vision (CV), adding tags to identify objects of interest or bounding boxes to locate the objects is called labeling. It’s one of the prerequisite tasks to prepare training data to train a deep learning model.

Deep Learning 78

Deep Learning Auto-complete Machine Learning ML 78

IBM Journey to AI blog

APRIL 18, 2024

While cost wasn’t the primary driver, it reflects a growing belief that the value generated by gen AI outweighs the price tag. It might analyze real-time data from cameras, LiDAR and other sensors to identify objects, assess risks and anticipate environmental changes like sudden weather events or unexpected obstacles.

Neural Network 226

Neural Network LLM AI AI 226

AWS Machine Learning Blog

FEBRUARY 13, 2024

Self-checkout process BigBasket introduced an AI-powered checkout system in their physical stores that uses cameras to distinguish items uniquely. Customers often lose the weight sticker and have to go back to the weighing counters to collect one again before proceeding with the checkout process.

Computer Vision 94

Computer Vision Convolutional Neural Networks AI AI 94

Artificial Corner

MAY 3, 2024

Humane AI Pin Patent During one of Chaudri's initial demos, the device demonstrated its ability to see, hear, and tag objects. This multimodal assistant can directly respond to questions about its environment or what it observes through its built-in camera, a functionality already present in other technologies.

AI 52

AI AI Natural Language Processing Explainability 52

Viso.ai

APRIL 26, 2024

” The color “red” is tagged as an attribute of interest, “vehicles” as the object class to be detected, “moving faster than” as the action, and “speed limit” as a contextual parameter.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

Marek Rei

JANUARY 17, 2018

In this paper, they show that much of this property holds even when the images are fed into the classifier from the real world – after being photographed with a cell phone camera. There does not seem to be any auxiliary task that would help on all main tasks, but chunking and semantic tagging seem to perform best. Copenhagen.

Machine Learning 52

Machine Learning NLP Neural Network Convolutional Neural Networks 52

Marktechpost

JULY 17, 2023

Synthetic datasets are sometimes superior to real-world data since they are automatically tagged and can purposefully include uncommon but critical corner situations. Additionally, the business has made its data visualizer for fully annotated synthetic cameras and LiDAR datasets available to the public. Mindtech An estimated $6.5

Machine Learning 52

Machine Learning Data Scientist Computer Vision Deep Learning 52

John Snow Labs

JUNE 2, 2023

For example, a named entity recognizer annotator might identify and tag entities such as people, organizations, and locations in a text document, while a sentiment analysis annotator might classify the sentiment of the text as positive, negative, or neutral. .""", im rubbish with computers haha!""",

Deep Learning 98

Deep Learning NLP Convolutional Neural Networks Neural Network 98

Snorkel AI

FEBRUARY 13, 2023

For example, building algorithms that run on our cameras and detect if somebody is coming home, or if a package gets delivered for you. You could match to the exact titles for movies and episodes, or you could only… basically match against only a fixed set of metadata tags such as comedies, horror shows, et cetera.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

Snorkel AI

FEBRUARY 13, 2023

For example, building algorithms that run on our cameras and detect if somebody is coming home, or if a package gets delivered for you. You could match to the exact titles for movies and episodes, or you could only… basically match against only a fixed set of metadata tags such as comedies, horror shows, et cetera.

Metadata 52

Metadata Machine Learning Deep Learning BERT 52

How to Learn Machine Learning

JANUARY 21, 2023

The environment would also need to be populated with a range of sensors, such as cameras and lidar, to enable the autonomous system to “see” its environment. Using this engine, a team of developers could create a dynamically updated 3D world in which autonomous vehicles can be tested.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing NLP 52

The MLOps Blog

JANUARY 5, 2023

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 can do a basic search essentially by tags, and that’s it.

Computer Vision 52

Computer Vision Machine Learning ML Explainability 52