AWS Machine Learning Blog

FEBRUARY 11, 2025

GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. He is now leading the development of GraphStorm, an open source graph machine learning framework for enterprise use cases.

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Dataconomy

APRIL 2, 2025

Through various machine learning techniques, artists and non-artists alike can harness the power of algorithms to generate unique visual and auditory experiences. By employing machine learning, AI art challenges traditional concepts of artistry and raises questions about authorship and creativity.

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Flipboard

JULY 17, 2025

Using the model, scientists detected a decline in underground plant biomass across much of Georgia’s coastal marshes between 2014 and 2023. They built a machine learning model that could predict belowground biomass and trained it on field data from four marsh sites. Published on 17 July 2025. Text © 2025. The authors.

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Towards AI

MAY 12, 2025

This paper pretty much showed everyone how to train deep layers on a GPU 2014: NVIDIA released CuDNN a dedicated CUDA library for Deep Learning. Now developers had much more granular control over the image rendering. 2008 a landmark paper by Raina et al was released.

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PyImageSearch

MAY 19, 2025

If you havent installed it yet, follow this step-by-step guide: Getting Started with Docker for Machine Learning. Installing Docker (Required for This Lesson) Since we will be running OpenSearch locally using Docker , be sure Docker is installed on your system. pandas==2.0.3 tqdm==4.66.1 pyarrow==14.0.2

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Towards AI

MAY 1, 2025

First proposed by Ian Goodfellow in 2014, GANs sparked a revolution in synthetic data creation. Imagine a neural network dreaming up handwritten digits so real, they fool even trained eyes or sketching fashion items never seen before. This isnt sci-fi. Its the magic of Generative Adversarial Networks.

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Hacker News

JULY 1, 2025

I bring a blend of full-stack development experience and applied machine learning, with a strong focus on usability, performance, and impact. I most recently spent just shy of 10 years at Uber (2014 to 2024) before taking a sabbatical for personal pursuits and I'm now looking to get back to work. Email: anushribhansali.14@example.com

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Dataconomy

MARCH 5, 2025

Founded in 2010, it has made significant strides since its acquisition by Google in 2014, aiming to advance AI capabilities in diverse domains. Technology and methodology DeepMind’s approach revolves around sophisticated machine learning methods that enable AI to interact with its environment and learn from experience.

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Flipboard

JULY 2, 2025

I consider software engineering only adjacent to my field of machine learning engineering, but I have worked alongside many extremely talented SWEs in my career, at tech companies of various sizes, and I’ve had the chance to observe the role quite closely. However, your own knowledge is really vital for this to be effective.

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AWS Machine Learning Blog

JUNE 3, 2025

Bevar Ukraine was established in 2014 and has been at the forefront of supporting Ukrainian refugees in Denmark since the full-scale war in 2022, providing assistance to over 30,000 Ukrainians with housing, job search, and integration services. Taras is an AWS Certified ML Engineer Associate.

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Towards AI

MAY 12, 2025

Following Word2Vec, GloVe (Global Vectors) was introduced by researchers at Stanford in 2014, focusing on capturing word co-occurrences globally. Word2Vec revolutionized NLP because it allowed words to be represented as vectors, capturing their meanings in a multi-dimensional space.

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Dataconomy

MARCH 28, 2025

Generative adversarial networks (GANs) have revolutionized the field of machine learning by introducing a unique framework where two neural networks, known as the generator and the discriminator, engage in a continuous game against each other. What are generative adversarial networks (GANs)?

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Hacker News

JUNE 25, 2025

This project aims to scale price collection by developing machine learning tools to extract prices and barcodes from store shelf images. Together, these efforts will promote a more user-friendly authentication flow for Solid, and help ensure that the development of FedCM accommodates decentralized web architectures.

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insideBIGDATA

MAY 23, 2023

is a company that provides artificial intelligence (AI) and machine learning (ML) platforms and solutions. The company was founded in 2014 by a group of engineers and scientists who were passionate about making AI more accessible to everyone.

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Hacker News

JULY 19, 2025

actually Popular Posts Pimping my Casio: Part Deux Close to three years ago I wrote about using Oddly Specific Objects' alternate "motherboard" to modify a classic Casio F-91W w.

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Analytics Vidhya

APRIL 22, 2023

DeepMind is an artificial intelligence (AI) company acquired by Google in 2014. Alphabet, the parent company of Google, has announced that DeepMind will merge with Google’s Brain team to form Google DeepMind. DeepMind CEO Demis Hassabis will head this new collaboration.

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Flipboard

JUNE 18, 2023

Snowflake (NYSE:SNOW) originally built their cloud-based warehouse on AWS in 2014, then started to build their platform and applications to operate …

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Flipboard

APRIL 7, 2025

In 2014, Stephen Hawking voiced grave warnings about the threats of artificial intelligence. His concerns were not based on any anticipated evil

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Flipboard

NOVEMBER 16, 2024

In 2014, a breakthrough at Google transformed how machines understand language: The self-attention model. This innovation allowed AI to grasp context and meaning in human communication by treating words as mathematical vectors — precise numerical representations that capture relationships between …

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Flipboard

JANUARY 22, 2025

Since it was founded in 2014, India-based Postman has made a name for itself as one of the most popular platforms for building and using APIs, with 500,000 organizations now using the service. Like with so many other SaaS services, though, its valuation today is reportedly down from its $5.6

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Flipboard

DECEMBER 10, 2023

Since 2014, MySizeID has developed an algorithm that learns the habits and measurements of the consumer, saving retailers between 30 to 50% on the returns of … One company is making a splash in the retail space by using artificial intelligence to cut the number of online shopping-related item returns.

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Flipboard

APRIL 4, 2025

In June 2014, the first commit of Kubernetes was pushed to developer platform GitHub. As the open-source container orchestration tool nears its 11th

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Towards AI

AUGUST 25, 2023

DL Artificial intelligence (AI) is the study of ways to build intelligent programs and machines that can creatively solve problems, which has always been considered a human prerogative. Deep learning (DL) is a subset of machine learning that uses neural networks which have a structure similar to the human neural system.

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Flipboard

APRIL 8, 2023

And of all machine learning systems, language models are sucking up the most computing resources. Industry is also the place for new machine learning models With greater numbers of Ph.D.’s, s, it’s no surprise that industry has raced ahead of academia in producing new machine learning models.

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Flipboard

JUNE 20, 2023

Machine learning Machine learning is when computers use experience to improve their performance. Rather than humans programming computers with specific step-by-step instructions on how to complete a task, in machine learning a human provides the AI with data and asks it to achieve a certain outcome via an algorithm.

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Machine Learning Research at Apple

MARCH 20, 2024

timestamped image-text pairs spanning 9 years (2014-2022). We introduce the first set of web-scale Time-Continual (TiC) benchmarks for training vision-language models: TiC-DataComp, TiC-YFCC, and TiC-Redcaps. TiC-DataComp, our largest dataset, contains over 12.7B We first use our benchmarks to curate…

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Smart Data Collective

JULY 28, 2022

The financial industry is becoming more dependent on machine learning technology with each passing day. Machine learning has helped reduce man-hours, increase accuracy and minimize human bias. This can be used to create more effective machine learning algorithms for traders.

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Flipboard

MAY 26, 2023

leader in recent days, but Ark Invest CEO Cathie Wood allegedly saw their potential back in 2014. Tech company Nvidia has come out swinging as an emerging artificial intelligence (A.I.) Back then it was just a sleepy old PC gaming chip company, but we saw it back then as an A.I. company," the famed …

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DagsHub

APRIL 7, 2024

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.

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Mlearning.ai

JUNE 8, 2023

Netflix-style if-you-like-these-movies-you’ll-like-this-one-too) All kinds of search Text search (like Google Search) Image search (like Google Reverse Image Search) Chatbots and question-answering systems Data preprocessing (preparing data to be fed into a machine learning model) One-shot/zero-shot learning (i.e.

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Data Science Dojo

FEBRUARY 8, 2024

Since NLP techniques operate on textual data, which inherently cannot be directly integrated into machine learning models designed to process numerical inputs, a fundamental question arose: how can we convert text into a format compatible with these models? Hence, without embedding techniques, your RAG approach will be impossible.

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Towards AI

AUGUST 16, 2023

The MLOps Process We can see some of the differences with MLOps which is a set of methods and techniques to deploy and maintain machine learning (ML) models in production reliably and efficiently. MLOps is the intersection of Machine Learning, DevOps, and Data Engineering. MIT Press, ISBN: 978–0262028189, 2014. [2]

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Heartbeat

FEBRUARY 27, 2023

Data augmentation: GANs can be used to produce extra training data for deep learning models, enabling the development of models with greater sturdiness. TensorFlow, an open-source framework developed by the Google Brain Team, provides a variety of tools for developing and deploying machine learning models.

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Heartbeat

OCTOBER 13, 2023

Photo by Djim Loic on Unsplash Machine learning has revolutionized how we process and analyze data, making it possible to derive valuable insights and predictions from various data types. Experiment Tracking Comet enables machine learning practitioners to track and organize experiments related to time series analysis easily.

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Flipboard

MARCH 11, 2023

When Apache Spark became a top-level project in 2014, and shortly thereafter burst onto the big data scene, it along with the public cloud disrupted …

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AWS Machine Learning Blog

AUGUST 2, 2024

GraphStorm is a low-code enterprise graph machine learning (GML) framework to build, train, and deploy graph ML solutions on complex enterprise-scale graphs in days instead of months. He is now leading the development of GraphStorm, an open-source graph machine learning framework for enterprise use cases.

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Towards AI

AUGUST 11, 2023

The Trademark of GPT-5 In a 2014 BBC interview, Stephen Hawking said the following words – The development of full artificial intelligence could spell the end of the human race. The state of AI in 2014 was different from today. In that year, Google bought DeepMind — a machine learning startup — for over $600 Million.

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