DataRobot Blog

APRIL 4, 2022

Bringing Marketing Mix Modeling into the 21st century with ML and Automation. Combined with ML algorithm that can discover non-linear relationships out of the box (e.g., This task is essentially automated by the algorithm itself. Breakthrough #3: ML algorithms’ complexity. Breakthrough #2: Shapley Value.

Machine Learning 52

Machine Learning Automation ML Algorithm 52

Unite.AI

OCTOBER 24, 2023

Aaron is also the Ex-CTO of The Home Depot and co-founder of Redbeacon, which was acquired by Home Depot in 2012. What are some of the machine learning algorithms that are used? One other very popular feature with our agents is that we use algorithms to block over 20 million spam calls – a service we offer free to our customers.

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AI Tools Automation Algorithm AI 290

IBM Journey to AI blog

JULY 19, 2023

The industry is under tremendous pressure to accelerate drug development at an optimal cost, automate time- and labor-intensive tasks like document or report creation to preserve employee morale, and accelerate delivery. in 10 years, from 2012 to 2022. Why IBM Consulting for generative AI on AWS?

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Generative AI Large Language Models AI AI 189

Viso.ai

DECEMBER 19, 2023

Computer Vision Application for mango plant disease classification in Agriculture The need for AI to understand image data Since the vast amount of image data we obtain from cameras and sensors is unstructured, we depend on advanced techniques such as machine learning algorithms to analyze the images efficiently.

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Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

IBM Journey to AI blog

OCTOBER 12, 2023

These models rely on learning algorithms that are developed and maintained by data scientists. However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information.

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Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 240

Mlearning.ai

MARCH 9, 2023

Automated algorithms for image segmentation have been developed based on various techniques, including clustering, thresholding, and machine learning (Arbeláez et al., 2012; Otsu, 1979; Long et al., The MBD algorithm then searches for a subset of nodes (i.e., 2018; Sitawarin et al., 2015; Huang et al.,

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

ODSC - Open Data Science

FEBRUARY 28, 2023

To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making. Making Data Observable Bigeye The quality of the data powering your machine learning algorithms should not be a mystery. Cloudera For Cloudera, it’s all about machine learning optimization.

Data Science 96

Data Science Auto-complete Machine Learning AI 96

AWS Machine Learning Blog

OCTOBER 11, 2024

Generative AI is used in various use cases, such as content creation, personalization, intelligent assistants, questions and answers, summarization, automation, cost-efficiencies, productivity improvement assistants, customization, innovation, and more. The agent returns the LLM response to the chatbot UI or the automated process.

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Metadata Generative AI LLM Data Ingestion 99

Marktechpost

JULY 17, 2023

It relates to employing algorithms to find and examine data patterns to forecast future events. Algorithms and models Predictive analytics uses several methods from fields like machine learning, data mining, statistics, analysis, and modeling. Machine learning and deep learning models are two major categories of predictive algorithms.

Data Mining 94

Data Mining Machine Learning Data Scientist Artificial Intelligence 94

Pickl AI

JULY 24, 2024

Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. The development of LISP by John McCarthy became the programming language of choice for AI research, enabling the creation of more sophisticated algorithms. Simon, demonstrated the ability to prove mathematical theorems.

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Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

ODSC - Open Data Science

JUNE 8, 2023

Taipy The inspiration for this open-source software for Python developers was the frustration felt by those who were trying, and struggling, to bring AI algorithms to end-users. To deliver on their commitment to enhancing human ingenuity, SAS’s ML toolkit focuses on automation and more to provide smarter decision-making.

Machine Learning 52

Machine Learning Data Science Metadata Python 52

AWS Machine Learning Blog

JUNE 21, 2024

These can be added as inline policies in the user’s IAM role: { "Version": "2012-10-17", "Statement": [ { "Action": "s3:*", "Effect": "Deny", "Resource": [ "arn:aws:s3:::jumpstart-cache-prod- ", "arn:aws:s3:::jumpstart-cache-prod- /*" ], "Condition": { "StringNotLike": {"s3:prefix": ["*.ipynb", Choose one of model hubs you have access to.

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Python Machine Learning ML Software Engineer 108

Viso.ai

FEBRUARY 19, 2024

Viso Suite is the only end-to-end computer vision platform Importance of Computer Vision in Law Computer vision offers regulators a toolset for automating processes and navigating complex legal frameworks more effectively. Criminal Activity Detection In criminal cases, CV algorithms should first recognize the environment and the setting.

Computer Vision 52

Computer Vision Deep Learning Convolutional Neural Networks Neural Network 52

Heartbeat

OCTOBER 9, 2023

Computer vision algorithms can reconstruct a highly detailed 3D model by photographing objects from different perspectives. But computer vision algorithms can assist us in digitally scanning and preserving these priceless manuscripts. These ground-breaking areas redefine how we connect with and learn from our collective past.

Computer Vision 52

Computer Vision Algorithm Deep Learning Machine Learning 52

Flipboard

JULY 31, 2023

Algorithms are important and require expert knowledge to develop and refine, but they would be useless without data. These datasets, essentially large collections of related information, act as the training field for machine learning algorithms. This involves feeding the images and their corresponding labels into an algorithm (e.g.,

Machine Learning 123

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 123

Flipboard

FEBRUARY 5, 2023

It’s a nudge from Duolingo , the popular language-learning app, whose algorithms know you’re most likely to do your 5 minutes of Spanish practice at this time of day. And Duolingo uses the resulting predictions in its session-generator algorithm to dynamically select new exercises for the next lesson.

Machine Learning 182

Machine Learning AI AI Algorithm 182

Viso.ai

FEBRUARY 28, 2023

The OpenCV library contains over 2500 algorithms, extensive documentation, and sample code for real-time computer vision. Downloading and Installing OpenCV Since 2012, support for OpenCV was taken over by a non-profit foundation named OpenCV.org, which maintains a developer site and a user website.

Computer Vision 52

Computer Vision Algorithm Deep Learning Automation 52

Dlabs.ai

OCTOBER 14, 2022

Save time and reduce your overheads Sentiment analysis is a fully-automated process that offers time and cost optimizations. An algorithm analyzes the data, saving employees from reading thousands of customer reviews, categorizing them, and sharing the insights. presidential candidates , all by analyzing Tweets.

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Categorization Natural Language Processing Algorithm NLP 52

Unite.AI

MARCH 19, 2024

Founded in 2012, Fotor has evolved to become a leading AI-powered photo editor. Fotor uses advanced algorithms and machine learning to enhance photos like a professional photographer, but faster and more affordably. With its AI-powered editing capabilities, Fotor saves time and effort by automating complex editing tasks.

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AI Tools AI AI Generative AI 130

Flipboard

MARCH 18, 2023

Some of his early published work on the question, from 2011 and 2012, raises questions about what shape those models will take, and how hard it would be to make developing them go well — all of which will only look more important with a decade of hindsight. And I don’t always buy that distinction.

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence Automation OpenAI 123

The Stanford AI Lab Blog

MARCH 28, 2022

[Summary] tl;dr: A tremendous amount of effort has been poured into training AI algorithms to competitively play games that computers have traditionally had trouble with, such as the retro games published by Atari, Go, DotA, and StarCraft II. Can the same algorithms that master Atari games help us grade these game assignments?

Algorithm 52

Algorithm Auto-classification Automation Auto-complete 52

AWS Machine Learning Blog

SEPTEMBER 11, 2024

in 2012 is now widely referred to as ML’s “Cambrian Explosion.” This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. In FSI, non-time series workloads are also underpinned by algorithms that can be parallelized.

ML 96

ML Deep Learning Algorithm Large Language Models 96

AWS Machine Learning Blog

AUGUST 4, 2023

Although we use a specific algorithm to train the model in our example, you can use any algorithm that you find appropriate for your use case. The SageMaker provided project template for Salesforce Data Cloud integration, which automates creating a SageMaker endpoint hosting the inference pipeline model.

ML 86

ML Categorization AI AI 86

AWS Machine Learning Blog

MAY 5, 2023

To easily provide users with a large repository of relevant results, the solution should provide an automated way of searching through trusted sources. With an understanding of the problem and solution, the subsequent sections dive into how to automate data sourcing through the crawling of architecture diagrams from credible sources.

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Metadata ETL Data Ingestion ML 107

AWS Machine Learning Blog

DECEMBER 14, 2023

Generative AI-powered tools on JupyterLab Spaces Generative AI, a rapidly evolving field in artificial intelligence, uses algorithms to create new content like text, images, and code from extensive existing data. You need to grant your users permissions for private spaces and user profiles necessary to access these private spaces.

Generative AI 120

Generative AI AI Tools ML Auto-complete 120

Heartbeat

DECEMBER 8, 2023

This includes cleaning and transforming data, performing calculations, or applying machine learning algorithms. Williams, Hinton was co-author of a highly cited paper published in 1986 that popularised the backpropagation algorithm for training multi-layer neural networks, although they were not the first to propose the approach.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning LLM 52

Hal Daumé III

NOVEMBER 8, 2016

Automated Decision Making is Part of Our Lives To me, AI is largely the study of automated decision making , and the investment therein has been growing at a dramatic rate. The last time I taught this class was in 2012. Automated decision making is now a part of basically everyone's life, and will only be more so over time.

ML 52

ML Robotics Machine Learning AI 52

TheSequence

NOVEMBER 22, 2023

Some of that work involved deep algorithmic work, which culminated in this year’s announcement of the MX consortium , which is standardized 4, 6, and 8-bit datatypes for ultra-efficient AI computation. The second is to advance the science of automated problem solving. TheSequence is a reader-supported publication.

Neural Network 40

Neural Network Generative AI AI AI 40

Unite.AI

JUNE 9, 2024

Launched in 2012, it has become one of the most widely used cloud storage solutions, with over 1 billion users worldwide. The platform offers a range of features and integrations that cater to the needs of modern businesses, including workflow automation, data governance, and enterprise-grade security.

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Automation Machine Learning Algorithm AI 278

Bugra Akyildiz

AUGUST 10, 2024

Burden of cardiovascular diseases is very large in the world’s economy and it is projected to increase: From 2008 to 2012, there were increased yearly trends for both hospitalizations (from 250,354 to 322,676) and total costs (from US $ 388.52 million per year in 2014 currency) in Shanghai.

BERT 59

BERT Large Language Models Categorization Deep Learning 59

Unite.AI

SEPTEMBER 26, 2024

It all started in 2012 with AlexNet, a deep learning model that showed the true potential of neural networks. By 2023, further advancements, such as more efficient algorithms and specialized hardware, such as NVIDIA’s A100 GPUs , had continued to lower the costs of AI training and deployment. But things have changed a lot since then.

AI 147

AI AI Neural Network Natural Language Processing 147

Unite.AI

MAY 27, 2023

The power of AI-driven data analytics became evident in the 2012 and 2016 US election campaigns. In 2012, Obama's team used AI and big data to innovate voter targeting. They can offer several advantages for political parties and candidates, including predictive analysis, automated outreach, personalized advertising, etc.

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Generative AI Chatbots AI AI 217