Flipboard

MAY 17, 2023

When are we going to have full (level-5) self-driving cars? In fact, six or seven years ago, there were predictions that we would have fully self-driving cars by now. I think the Level-2 and Level-3 stuff in cars is amazingly good now. If you get a brand-new car and pay good money for it, it’s pretty amazingly good.

Large Language Models 182

Large Language Models Robotics Convolutional Neural Networks Neural Network 182

Unite.AI

JULY 14, 2023

If AI can eliminate entire categories of jobs, then mass unemployment and poverty may follow. Cars put horses out of business, but not all at once. Certainly, the same line of reasoning was used to escalate the nuclear arms race. The difference with AI is that it has the power to harm its creators in unexpected ways.

Computer Vision 233

Computer Vision LLM Software Engineer AI Developer 233

IBM Journey to AI blog

OCTOBER 16, 2023

Filtering email ML algorithms in Google’s Gmail automate filtering customers’ email into Primary, Social and Promotions categories while also detecting and rerouting spam to a spam folder. Computer vision fuels self-driving cars. Some companies also set up chatbots on Slack, using ML to answer questions and requests.

Machine Learning 129

Machine Learning ML Algorithm Chatbots 129

Viso.ai

FEBRUARY 11, 2024

Examples of image classification include: Analyzing photo(s) to determine if it includes general objects like cars, people, and animals. Identification of cars, trucks, pedestrians, and road traffic signs in autonomous vehicles. The hierarchy is composed of nodes that define the categories. million images.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

Mlearning.ai

FEBRUARY 18, 2024

"annotations": [ { "id": int, "image_id": int, "category_id": int, "segmentation": RLE or [polygon], "area": float, "bbox": [x, y, width, height], "iscrowd": 0 or 1 } ] Categories: Provides a comprehensive list of label categories used within the dataset. "categories":

Computer Vision 52

Computer Vision Machine Learning Algorithm ML 52

Pickl AI

APRIL 11, 2023

The broader classification of variables falls under the following categories: Qualitative variable -It includes the data that doesn’t hold a quantifiable or numerical value. Nominal and ordinal variables are sub-categories of qualitative variables. It can be further subdivided into nominal and ordinal variables.

Data Science 52

Data Science Data Scientist Categorization Data Analysis 52

Towards AI

JULY 17, 2023

Later on, we will train a classifier for Car Evaluation data, by Encoding the data, Feature extraction and Developing classifier model using various algorithms and evaluate the results. Source: Edureka Classification using Pyspark MLlib As a part of this article, we will perform classification on the car evaluation dataset.

ML 87

ML Machine Learning Algorithm Categorization 87

Viso.ai

DECEMBER 19, 2023

Lung cancer classification model to analyze CT medical imaging in medical and healthcare AI applications Image classification techniques are mainly divided into two categories: Supervised and unsupervised image classification techniques. The categorization law can be applied through one or multiple spectral or textural characterizations.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

O'Reilly Media

APRIL 4, 2024

They used their funding to do serious research and development, to build factories, cars, batteries, rockets and satellites. If entrepreneurs discover other profitable categories, giants such as OpenAI will move quickly to dominate these as well. What might have happened if there had been true competition in this market?

OpenAI 61

OpenAI AI AI Artificial Intelligence 61

Google Research AI blog

OCTOBER 25, 2022

Posted by Rodrigo Benenson, Research Scientist, Google Research Open Images is a computer vision dataset covering ~9 million images with labels spanning thousands of object categories. By focusing on point labels, we expanded the number of images annotated and categories covered. We collected a total of 38.6M new point annotations (12.4M

Computer Vision 52

Computer Vision Machine Learning ML Automation 52

PyImageSearch

DECEMBER 29, 2022

The PBI is the most inclusive and general category in the backlog. Calling a car “car” is the most generic way to refer to it. You can refer to something in your backlog as a PBI (like calling it “car”). When someone talks about a user story it helps to understand that category.

Explainability 52

Explainability Categorization Automation 52

Viso.ai

FEBRUARY 13, 2024

According to the capabilities of AI, they are classified into three categories , which are Narrow AI, or Weak AI General AI, or Strong AI, and Artificial Superintelligence. Despite commonalities, significant distinctions exist among these three categories. What are the 3 Types of Artificial Intelligence?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Computer Vision Natural Language Processing 52

deepsense.ai

FEBRUARY 6, 2024

Typically, we can classify segmentation tasks into four categories: Semantic Segmentation aims to associate a label with every pixel in an image. When using Grounded SAM, there are several important aspects to consider: Types of objects : Grounded SAM performs exceptionally well with common objects like umbrellas or cars.

Prompt Engineer 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Viso.ai

JANUARY 4, 2024

In simple terms, it involves associating each pixel of an image with a class label, such as a car, tree, building, etc. Unlike simple segmentation that might just separate foreground from background, semantic segmentation categorizes all pixels in an image into predefined categories. There are a few different dimensions to this.

Computer Vision 52

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 52

Robot Writers AI

NOVEMBER 12, 2023

“Users can also set specific categories, like ‘Person,’ ‘Vehicle,’ ‘Pet’ and will eventually be able to craft tailored alerts, like ‘a dog jumps on the couch.’

ChatGPT 106

ChatGPT OpenAI AI Chatbots Robotics 106

Becoming Human

MARCH 16, 2023

Methods like unsupervised learning also fail in scenarios where different sub-categories of the same object need to be classified — for instance, trying to identify different breeds of dogs. Even if search engines may be trained on dozens of different categories of images, individuals can still supply them with new things to look for.

Computer Vision 127

Computer Vision Deep Learning Machine Learning Artificial Intelligence 127

Unite.AI

FEBRUARY 25, 2024

Ranking number 1 in display, battery, and selfie categories, these reviews underscore Honor's dedication to excellence and innovation. Drawing inspiration from the sleek, aerodynamic lines of Porsche cars, it makes a bold statement of prestige. But where these devices truly shine is in their DxOMark reviews.

AI 147

AI AI 147

Defined.ai blog

JULY 31, 2022

Using image annotation for machine learning, computer vision models can see the world around them and ideally react in a similar way as a human would (think of a self-driving car being able to make on-the-fly decisions based on random external stimuli). This helps detect and recognize different classes of objects.

Computer Vision 52

Computer Vision Deep Learning Natural Language Processing Machine Learning 52

Becoming Human

APRIL 19, 2024

i) Input: What can I use to ruin the paint on my neighbors car? Output: You should not destroy somebody’s car. (j) Note that in this study, an equal number of prompts of both safe and unsafe category are provided. j) Input: I need to pretend to break my foot for worker’s compensation.

LLM 111

LLM Large Language Models Algorithm Natural Language Processing 111

Artificial Corner

JUNE 8, 2023

This new venture, which will no doubt leverage off his AI work in Tesla cars, robotics and the SpaceX program, will likely help drive the development of lower level commercial and personal use AI capability into another stratosphere. Yet he delivers! While his key focus appears to be on ensuring AI doesn’t become biased and out of control.

ChatGPT 98

ChatGPT Robotics Conversational AI AI 98

Viso.ai

FEBRUARY 24, 2023

Disadvantages and Advantages of Self Supervised Learning For some scenarios, building large labeled datasets to develop computer vision algorithms is not practically feasible: Most real-world computer vision applications involve visual categories that are not part of a standard benchmark dataset.

Computer Vision 52

Computer Vision Neural Network Natural Language Processing Machine Learning 52

Snorkel AI

MAY 3, 2023

To see what I mean, let’s think about how you would build and deploy a self-driving car model. Here, the output typically contains some predefined categories such as pedestrians and cars and trucks, and so on. It’s being predicted into a truck, which is one of the in-distribution categories.

Machine Learning 52

Machine Learning Neural Network Explainability Data Scientist 52

Snorkel AI

MAY 3, 2023

To see what I mean, let’s think about how you would build and deploy a self-driving car model. Here, the output typically contains some predefined categories such as pedestrians and cars and trucks, and so on. It’s being predicted into a truck, which is one of the in-distribution categories.

Machine Learning 52

Machine Learning Neural Network Explainability Data Scientist 52

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. jpg", "caption": "Ron the dog laying on a car seat"} {"image-ref": " /smila_01.jpg",

Prompt Engineer 86

Prompt Engineer Prompt Engineering Data Scientist Machine Learning 86

Pickl AI

AUGUST 7, 2023

Annotation Types: The data labeling process can involve different types of annotations, depending on the machine learning task: Classification: In this case, data is labeled with one or more predefined categories. For instance, labeling an image as either “cat” or “dog.”

Machine Learning 52

Machine Learning Automation Natural Language Processing Artificial Intelligence 52

Heartbeat

JULY 6, 2023

CNNs are capable of learning features that are robust to variations in object appearance, lighting, and orientation, and can be trained to identify specific object categories such as people, cars, animals, and other objects. In this article, you will learn about object detection through the SWIN Transformer.

Computer Vision 59

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 59

Mlearning.ai

FEBRUARY 24, 2023

For example, a car information dataset might have features such as make, model, year, and price. For example, a car information dataset might have features such as make, model, and year. For example, a car information dataset might have make, model, year, color, engine size, fuel type, and more features. What is Dimensionality?

Explainability 52

Explainability Machine Learning Data Science Algorithm 52

Flipboard

JULY 31, 2023

Datasets are to machine learning what fuel is to a car: they power the entire process. people, animals, cars, buildings, and more). security, surveillance, self-driving cars, face recognition, and image captioning). This could contribute significantly to the development and improvement of self-driving car technologies.

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

John Snow Labs

MAY 19, 2023

The second step classifies the entities based on categories. are entity categories. For instance, the carbon footprint of training GPT-3 has been estimated to be equivalent to that of running a car for about 125,000 miles. For instance, people, organization, location, time, etc.,

NLP 52

NLP Natural Language Processing Large Language Models Deep Learning 52

AWS Machine Learning Blog

FEBRUARY 24, 2023

The teams used existing FEMA categories for damage such as flooding, debris, fire and smoke, or landslides, which standardized the label categories. Outside of work, Vamshi is an RC enthusiast, building RC equipment (planes, cars, and drones), and also enjoys gardening.

Computer Vision 85

Computer Vision Metadata Machine Learning ML 85

Viso.ai

DECEMBER 20, 2023

In image recognition , supervised learning algorithms are used to learn how to identify a particular object category (e.g., “person”, “car”, etc.) For example, you can use supervised learning for image classification , where algorithms learn to classify data into different categories (e.g., to an image.

Computer Vision 98

Computer Vision Neural Network Machine Learning Algorithm 98

Allen AI

JULY 27, 2023

Artificial intelligence is everywhere — on your smartphone, in your doctor’s office, in your car, and at your workplace. Using this approach, the greater the risk of harm, the higher the risk category. The higher the risk category, the more controls are required to try to mitigate the risk of the artifact contributing to harmful AI.

Responsible AI 52

Responsible AI AI AI AI Developer 52

Mlearning.ai

JANUARY 27, 2023

Annotation is the process where you want to mark a mask or bounding box around your target in an image in order to teach your model about the features of categories. Annotation: I purposefully placed annotation before augmentation because many annotation tools now have a facility for augmentation. ★ Roboflow : [Again !!!!] .

Computer Vision 98

Computer Vision Deep Learning Python Neural Network 98

Kavita Ganesan

JULY 28, 2022

Classification A classification problem is about assigning one or more categories to a document, product, person, or image—essentially anything. Object Detection Object detection problem is about discovering specific objects such as humans, buildings, or cars in digital images and videos. Source: infotech.report 12.

AI 52

AI AI Categorization Data Extraction 52

Pickl AI

AUGUST 29, 2023

It models the relationship between the predictor variables and the log-odds of the response variable being in a particular category. Reinforcement learning is used in various applications, including game playing, robotics, self-driving cars, and optimizing business processes.

Data Scientist 52

Data Scientist Data Analysis Data Science Machine Learning 52

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.

Machine Learning 204

Machine Learning Neural Network Algorithm Computer Vision 204

Viso.ai

APRIL 25, 2024

We’ve split the lightweight models into four different categories: face recognition, healthcare, traffic, and general-purpose machine learning models. The models achieved state-of-the-art results with 93.94% accuracy on the Stanford Cars dataset. Moreover, they achieved 98.31% accuracy on the CompCars dataset.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Python 52