KDnuggets

DECEMBER 16, 2019

It is an annual tradition for Xavier Amatriain to write a year-end retrospective of advances in AI/ML, and this year is no different. Gain an understanding of the important developments of the past year, as well as insights into what expect in 2020.

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KDnuggets

DECEMBER 11, 2019

We asked top experts: What were the main developments in AI, Data Science, Deep Learning, and Machine Learning Research in 2019, and what key trends do you expect in 2020?

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Flipboard

APRIL 23, 2025

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. See the OWASP Top 10 for Large Language Model Applications to learn more about the unique security risks associated with generative AI applications.

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Dataconomy

MAY 28, 2025

The question of whether and when AI will begin to replace human labor has long been a subject of intense debate. Over the last few years, the competition for tech and AI talent has been nothing short of fierce. Over the last few years, the competition for tech and AI talent has been nothing short of fierce.

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Dataconomy

MARCH 5, 2025

It’s an exciting convergence that takes automation beyond simple task completion, integrating advanced tools like AI and machine learning to forge robust solutions for todays complex business challenges. Artificial intelligence and machine learning AI and ML technologies play a critical role in enhancing automation capabilities.

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Towards AI

AUGUST 7, 2024

Last Updated on August 8, 2024 by Editorial Team Author(s): Gift Ojeabulu Originally published on Towards AI. Why VS Code might be better for many data scientists and ML engineers than Jupyter Notebook. Essential VS Code Extensions for Data Scientists and ML Engineers. Conclusion.

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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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Flipboard

APRIL 13, 2023

The seeds of a machine learning (ML) paradigm shift have existed for decades, but with the ready availability of scalable compute capacity, a massive proliferation of data, and the rapid advancement of ML technologies, customers across industries are transforming their businesses.

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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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KDnuggets

AUGUST 1, 2019

Learn how Interpretable and Explainable ML technologies can help while developing your model. A machine learning model that predicts some outcome provides value. One that explains why it made the prediction creates even more value for your stakeholders.

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Flipboard

MAY 29, 2025

Join Danielle Belgrave and Ben Lorica for a discussion of AI in healthcare. Danielle is VP of AI and Machine Learning at GSK (formerly GlaxoSmithKline). They discuss using AI and machine learning to get better diagnoses that reflect the differences between patients. 6:15 : My role is leading AI/ML for clinical development.

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Data Science 101

APRIL 29, 2019

Here is the latest data science news for the week of April 29, 2019. From Data Science 101. The Go Programming Language for Data Science Quick Video Tutorial for Find Updates in Azure Two-Minute Papers, One Pixel attack on NN. General Data Science.

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Dataconomy

JULY 4, 2023

Hyper automation, which uses cutting-edge technologies like AI and ML, can help you automate even the most complex tasks. It’s also about using AI and ML to gain insights into your data and make better decisions. Hyper automation is the game-changer you’ve been looking for.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training. SageMaker Studio set up.

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Dataconomy

OCTOBER 3, 2023

Deepfake AI tools, in their mesmerizing prowess, are redefining our virtual interactions. With this in mind, we’ve meticulously curated a list of deepfake AI tools that lean more towards educational and light-hearted applications. Best deepfake AI tools The tools mentioned in this article are not ranked from best to worst.

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Google Research AI blog

APRIL 7, 2023

As part of Google's Crisis Response and our efforts to address the climate crisis , we are using machine learning (ML) models for Flood Forecasting to alert people in areas that are impacted before disaster strikes. Frederik Kratzert (Research Scientist at Google) provided an overview of the Caravan project (below).

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Flipboard

JANUARY 14, 2025

Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. The research team at AWS has worked extensively on building and evaluating the multi-agent collaboration (MAC) framework so customers can orchestrate multiple AI agents on Amazon Bedrock Agents.

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AWS Machine Learning Blog

MAY 10, 2024

In today’s technological landscape, artificial intelligence (AI) and machine learning (ML) are becoming increasingly accessible, enabling builders of all skill levels to harness their power. As more companies adopt AI solutions, there’s a growing need to upskill both technical and non-technical teams in responsibly expanding AI usage.

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AWS Machine Learning Blog

APRIL 7, 2025

These models are designed for industry-leading performance in image and text understanding with support for 12 languages, enabling the creation of AI applications that bridge language barriers. With SageMaker AI, you can streamline the entire model deployment process.

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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. Today, AWS AI released GraphStorm v0.4. We encourage ML practitioners working with large graph data to try GraphStorm.

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Dataconomy

MARCH 31, 2025

Arthur, an AI performance company, launched the Arthur Engine on March 31, 2025, as the first open-source, real-time AI evaluation engine. The tool helps teams monitor, debug, and improve both Generative AI and traditional ML models, all without third-party dependencies or data privacy risks. Featured image credit

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Towards AI

NOVEMBER 16, 2024

Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Song and Ermon (2019) [13] proposed score-based generative modelling methods where samples are produced via Langevin dynamics using gradients of the data distribution estimated with Stein score-matching.

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KDnuggets

SEPTEMBER 25, 2019

Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more.

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AWS Machine Learning Blog

DECEMBER 18, 2024

AIs transformative impact extends throughout the modern business landscape, with telecommunications emerging as a key area of innovation. Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019.

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AWS Machine Learning Blog

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. To answer this question, the AWS Generative AI Innovation Center recently developed an AI assistant for medical content generation. Image 8: Animation showing the revision of the Ehlers-Danlos article.

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Flipboard

MAY 29, 2025

Custom geospatial machine learning : Fine-tune a specialized regression, classification, or segmentation model for geospatial machine learning (ML) tasks. This routine can be conducted at scale using an Amazon SageMaker AI processing job. If you need to generate embedding asynchronously, use a SageMaker AI processing or transform step.

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AWS Machine Learning Blog

APRIL 9, 2024

The correct response for this query is “Amazon’s annual revenue increased from $245B in 2019 to $434B in 2022,” based on the documents in the knowledge base. The generated response is “Amazon’s annual revenue increase from $245B in 2019 to $434B in 2022.” We ask “What was the Amazon’s revenue in 2019 and 2021?”

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Smart Data Collective

JANUARY 27, 2022

Although only 38% of businesses use AI in some form , 90% of the most successful companies utilize some form of AI. You may be wondering how significant AI really is. To some, AI may seem like any other over-hyped buzzword that has never truly manifested in the day-to-day human life. Artificial intelligence, of course!

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ML @ CMU

SEPTEMBER 13, 2024

2019 , 2023; Nasr et al., In 28th USENIX security symposium (USENIX security 19) , pages 267–284, 2019. Report of the 1st workshop on generative ai and law. Copyright fundamentals for AI researchers. Carlini et al., 2023; Zhang et al., References Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song.

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KDnuggets

SEPTEMBER 20, 2019

This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. Download now.

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AWS Machine Learning Blog

SEPTEMBER 17, 2024

AWS DeepComposer was first introduced during AWS re:Invent 2019 as a fun way for developers to compose music by using generative AI. AWS DeepComposer was the world’s first machine learning (ML)-enabled keyboard for developers to get hands-on—literally—with a musical keyboard and the latest ML techniques to compose their own music.

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NYU Center for Data Science

MARCH 15, 2023

The recent iteration of the free online course focuses on introductory lectures in artificial intelligence and machine learning With the goal of improving access to artificial intelligence education, the NYU AI School offers a free week-long machine learning course, including lectures, labs, and panel discussions with leading AI experts.

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AWS Machine Learning Blog

JULY 9, 2024

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. Kensho is the AI Innovation Hub for S&P Global. The evaluation tasks S&P AI Benchmarks evaluates LLMs using a wide range of questions concerning finance and business.

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AWS Machine Learning Blog

MARCH 25, 2025

Since Amazon Q Business became generally available in 2024, customers have used this fully managed, generative AI-powered assistant to enhance their productivity and efficiency. According to Gartner , the average desk worker now uses 11 applications to complete their tasks, up from just 6 in 2019.

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AWS Machine Learning Blog

DECEMBER 1, 2023

Launched in 2019, Amazon SageMaker Studio provides one place for all end-to-end machine learning (ML) workflows, from data preparation, building and experimentation, training, hosting, and monitoring. About the Authors Mair Hasco is an AI/ML Specialist for Amazon SageMaker Studio. Get started on SageMaker Studio here.

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AWS Machine Learning Blog

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. For our evaluation, we used the F1 score , which is an evaluation metric to assess the performance of LLMs and traditional ML models.

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Smart Data Collective

MARCH 26, 2021

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. This form of learning is everywhere, in places you may not even know, which is part of what makes ML so integral to a range of professions and everyday tasks. Using ML can potentially reduce this number and prevent injuries, too.

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