AWS Machine Learning Blog

OCTOBER 16, 2024

Amazon SageMaker supports geospatial machine learning (ML) capabilities, allowing data scientists and ML engineers to build, train, and deploy ML models using geospatial data. SageMaker Processing provisions cluster resources for you to run city-, country-, or continent-scale geospatial ML workloads.

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SEPTEMBER 16, 2023

These third-party libraries are an essential part of any AI developer’s toolkit. Machine Learning (ML), a subfield of Artificial Intelligence (AI), …

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Hacker News

JANUARY 27, 2024

Computer science teachers, software experts share their advice on ML assistants

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DECEMBER 2, 2024

As the AI landscape continues to evolve and models grow even larger, innovations like Fast Model Loader become increasingly crucial. To learn more about the ModelBuilder class, refer to Package and deploy classical ML and LLMs easily with Amazon SageMaker, part 1: PySDK Improvements. In this example, you deploy the Meta Llama 3.1

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AWS Machine Learning Blog

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Many commercial generative AI solutions available are expensive and require user-based licenses.

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Dataconomy

DECEMBER 18, 2024

AI is rapidly taking its place in the market, penetrating new application areas in ways we couldnt imagine, including AI cybersecurity solutions. The reason is clear: AIs potential for improving efficiency is almost limitless. The use of AI is evident on both sides of the barricades: by attackers and defenders alike.

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Hacker News

NOVEMBER 19, 2024

About the Role TigerEye is an AI Analyst for everyone in go-to-market. We track the changes in a company’s business to deliver instant, accurate answers to complex questions through a simple app.

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APRIL 24, 2025

Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment. She holds a PhD from the University of Michigan in Computer Science and Engineering.

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MARCH 31, 2025

Observability and monitoring is the most cited challenge when moving ML models into production. The Institute for Ethical AI & Machine Learning

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AWS Machine Learning Blog

DECEMBER 4, 2024

Building generative AI applications presents significant challenges for organizations: they require specialized ML expertise, complex infrastructure management, and careful orchestration of multiple services. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

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JANUARY 24, 2025

Overview of vector search and the OpenSearch Vector Engine Vector search is a technique that improves search quality by enabling similarity matching on content that has been encoded by machine learning (ML) models into vectors (numerical encodings). These benchmarks arent designed for evaluating ML models.

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Dataconomy

APRIL 4, 2025

AI prompt engineer is an emerging profession that plays a crucial role in bridging the gap between human language and machine understanding. As AI technologies evolve, the ability to interact effectively with language models becomes increasingly important. What is an AI prompt engineer?

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DECEMBER 2, 2024

This long-awaited capability is a game changer for our customers using the power of AI and machine learning (ML) inference in the cloud. You can now configure your scaling policies to include scaling to zero, allowing for more precise management of your AI inference infrastructure.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. With this integration, SageMaker Canvas provides customers with an end-to-end no-code workspace to prepare data, build and use ML and foundations models to accelerate time from data to business insights.

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OCTOBER 2, 2023

The more physicists use artificial intelligence and machine learning, the more important it becomes for them to understand why the technology works …

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ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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AWS Machine Learning Blog

OCTOBER 23, 2024

The landscape of enterprise application development is undergoing a seismic shift with the advent of generative AI. This intuitive platform enables the rapid development of AI-powered solutions such as conversational interfaces, document summarization tools, and content generation apps through a drag-and-drop interface.

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AWS Machine Learning Blog

MAY 28, 2025

AI-assistants boost productivity by automating routine data collection and processing tasks, surfacing relevant insights, and allowing analysts to focus on higher-value activities. However, a single AI agent struggles with complex, multistep investment research workflows to effectively handle the full spectrum of multiple specialized tasks.

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NYU Center for Data Science

SEPTEMBER 28, 2023

Building on this momentum is a dynamic research group at the heart of CDS called the Machine Learning and Language (ML²) group. By 2020, ML² was a thriving community, primarily known for its recurring speaker series where researchers presented their work to peers. What does it mean to work in NLP in the age of LLMs?

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NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. Deploy traditional models to SageMaker endpoints In the following examples, we showcase how to use ModelBuilder to deploy traditional ML models.

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AWS Machine Learning Blog

JANUARY 31, 2025

Increasingly, FMs are completing tasks that were previously solved by supervised learning, which is a subset of machine learning (ML) that involves training algorithms using a labeled dataset. As a member of the Enterprise AI team, she has advanced efforts to transform processing within Operations using AI and cloud-based technologies.

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APRIL 28, 2023

After the release of ChatGPT, artificial intelligence (AI), machine learning (ML) and large language models (LLMs) have become the number one topic of discussion for cybersecurity practitioners, vendors and investors alike. This is no surprise; as Marc Andreessen noted a decade ago, software is …

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AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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AWS Machine Learning Blog

MARCH 8, 2023

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily build and train ML models, and then directly deploy them into a production-ready hosted environment. Create a custom container image for ML model training and push it to Amazon ECR.

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Dataversity

OCTOBER 18, 2022

While humans may be the most intellectual creations and sit atop the “food chain,” artificial intelligence (AI) is a branch of computer science that can simulate human intelligence in many cases. AI is implemented via machine learning (ML) and performs tasks traditionally executed by humans.

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SEPTEMBER 7, 2023

In response, many companies are turning to emerging applications of well-known technologies like artificial intelligence (AI) and … Brands are under immense pressure to advance and evolve as customer buying trends change, budgets shrink, and broad economic factors become increasingly complicated.

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DECEMBER 5, 2023

San Francisco-based SuperDuperDB, an Intel Ignite portfolio company working to simplify how teams build and deploy AI apps, today released version 0.1 Available as a Python package, the framework allows users to integrate AI — from machine learning (ML) models to their … of its open-source framework.

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AWS Machine Learning Blog

APRIL 30, 2025

Amazon Bedrock Model Distillation is generally available, and it addresses the fundamental challenge many organizations face when deploying generative AI : how to maintain high performance while reducing costs and latency. We show the latency and output speed comparison for different models in the following figure. Notably, the Llama 3.1

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NYU Center for Data Science

JUNE 8, 2023

The NYU AI School returned with its fourth iteration this summer, May 31 — June 4, 2023. The free week-long course was launched and generously funded by the NYU ML² Machine Learning for Language Lab and organized by students from the CDS and NYU’s Courant Institute. By Ashley C. McDonald

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NYU Center for Data Science

JULY 10, 2024

This June, CDS hosted its fourth annual NYU AI School , a week-long summer program that introduced artificial intelligence and machine learning to a diverse group of undergraduate students. NYU AI School, organized by members of the Machine Learning for Language (ML²) Lab , aimed to demystify AI for a broad audience.

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AUGUST 17, 2023

Many practitioners are extending these Redshift datasets at scale for machine learning (ML) using Amazon SageMaker , a fully managed ML service, with requirements to develop features offline in a code way or low-code/no-code way, store featured data from Amazon Redshift, and make this happen at scale in a production environment.

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AWS Machine Learning Blog

MARCH 3, 2025

Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. To learn more details about these service features, refer to Generative AI foundation model training on Amazon SageMaker. The following image shows the solution architecture for SageMaker training jobs.

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AWS Machine Learning Blog

MAY 15, 2025

This is where Apoidea Group , a leading AI-focused FinTech independent software vendor (ISV) based in Hong Kong, has made a significant impact. By using cutting-edge generative AI and deep learning technologies, Apoidea has developed innovative AI-powered solutions that address the unique needs of multinational banks.

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JUNE 8, 2023

Google announced the general availability (GA) of generative AI services based on Vertex AI, the Machine Learning Platform as a Service (ML PaaS) offering from Google Cloud. With the service becoming GA, enterprises and organizations could integrate the platform's capabilities with their …

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O'Reilly Media

FEBRUARY 25, 2025

On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations.

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DECEMBER 1, 2024

Artificial Intelligence (AI) and Machine Learning (ML) might feel like buzzwords that are everywhere these days, but there’s a reason for …

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SEPTEMBER 10, 2023

AI Apps are domain-infused, AI/ML-powered applications that continuously learn and adapt with minimal human intervention in helping non-technical users manage data and analytics-intensive operations to deliver well-defined operational outcomes.

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