Flipboard

JUNE 16, 2025

The world’s leading publication for data science, AI, and ML professionals. Getting Started: You Don’t Need Expensive Hardware Let me get this clear, you don’t necessarily need an expensive cloud computing setup to win ML competitions (unless the dataset is too big to fit locally). Want to build your AI skills?

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Flipboard

MAY 30, 2025

Generative AI applications seem simpleinvoke a foundation model (FM) with the right context to generate a response. Many organizations have siloed generative AI initiatives, with development managed independently by various departments and lines of businesses (LOBs). This approach facilitates centralized governance and operations.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

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AWS Machine Learning Blog

OCTOBER 16, 2024

To address this, Intact turned to AI and speech-to-text technology to unlock insights from calls and improve customer service. The company developed an automated solution called Call Quality (CQ) using AI services from Amazon Web Services (AWS). It uses deep learning to convert audio to text quickly and accurately.

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KDnuggets

MARCH 25, 2020

If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you. and you’re wondering what it is, this post is for you.

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IBM Data Science in Practice

MARCH 8, 2023

The United States published a Blueprint for the AI Bill of Rights. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Source: A Chat with Andrew on MLOps: From Model-centric to Data-centric AI So how does this data-centric approach fit in with Machine Learning? — Features

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Machine Learning (Theory)

DECEMBER 1, 2020

This post is cross-listed on the CMU ML blog. The International Conference on Machine Learning (ICML) is a flagship machine learning conference that in 2020 received 4,990 submissions and managed a pool of 3,931 reviewers and area chairs. In this post, we summarize the results of these studies. Resubmission Bias Motivation.

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Flipboard

JUNE 4, 2025

Climate tech startups are at the forefront of building impactful solutions to the climate crisis, and theyre using generative AI to build as quickly as possible. Trends among climate tech startups building with generative AI Climate tech startups adoption of generative AI is evolving rapidly.

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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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Towards AI

NOVEMBER 16, 2024

Last Updated on November 17, 2024 by Editorial Team Author(s): Shashwat Gupta Originally published on Towards AI. Vishnoi, “A convergent and dimension-independent first-order algorithm for min-maxoptimization,” arXiv preprint arXiv:2006.12376, 2020.[2] 139–144, 2020.[3] 4880–4889, 2020.[9] 1153–1165, 2020.[15]

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AWS Machine Learning Blog

NOVEMBER 29, 2024

For example, marketing and software as a service (SaaS) companies can personalize artificial intelligence and machine learning (AI/ML) applications using each of their customer’s images, art style, communication style, and documents to create campaigns and artifacts that represent them. year-over-year (13.8% on a GAAP basis, 57.9%

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KDnuggets

DECEMBER 18, 2019

Build Pipelines with Pandas Using pdpipe; AI, Analytics, ML, DS, Technology Main Developments, Key Trends; New Poll: Does AutoML work? Ultralearn Data Science; Python Dictionary How-To; Top stories of 2019 and more.

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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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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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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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KDnuggets

JANUARY 10, 2020

Also: Google's New Explainable AI Service; 10 Free Top Notch Machine Learning Courses.

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Dataconomy

FEBRUARY 26, 2024

Groq’s online presence introduces its LPUs, or ‘language processing units,’ as “ a new type of end-to-end processing unit system that provides the fastest inference for computationally intensive applications with a sequential component to them, such as AI language applications (LLMs).

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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. We also examine P-STN, a potential upgrade from 2020 including enhanced transformations and increased efficiency.

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The MLOps Blog

DECEMBER 28, 2022

As per a report by McKinsey , AI has the potential to contribute USD 13 trillion to the global economy by 2030. The onset of the pandemic has triggered a rapid increase in the demand and adoption of ML technology. A large part of building successful ML teams depends on the size of the organization and its strategic vision.

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Flipboard

MAY 8, 2025

ELI5: Understanding MCP Imagine you have a single universal plug that fits all your devicesthat’s essentially what the Model Context Protocol (MCP) is for AI. MCP is an open standard (think USB-C for AI integrations ) that allows AI models to connect to many different apps and data sources in a consistent way.

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Dataconomy

AUGUST 22, 2024

Aleksandr Timashov is an ML Engineer with over a decade of experience in AI and Machine Learning. I chose Computer Vision as one of my favourite fields of AI. On these projects, I mentored numerous ML engineers, fostering a culture of innovation within Petronas. Did the pandemic and isolation complicate your work?

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Data Science 101

JANUARY 24, 2020

Google Dataset Search goes GA – search and discover millions of datasets Google Cloud GPU Price Cut – Google reduces the prices of NVIDIA T4 GPUs which should save some money for people doing AI PyTorch 1.4 Choosing the Right ML Tools – This video walks thru the Google Machine Learning Decision Pyramid.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Give this technique a try to take your team’s ML modelling to the next level. Download the free, unabridged version here.

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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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Towards AI

AUGUST 25, 2023

Last Updated on August 26, 2023 by Editorial Team Author(s): Jeff Holmes MS MSCS Originally published on Towards AI. How to get started with an AI project Vackground on Unsplash Background Here I am assuming that you have read my previous article on How to Learn AI. In a few sentences, describe the following: What is the goal?

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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

JUNE 24, 2024

Krikey AI is revolutionizing the world of 3D animation with their innovative platform that allows anyone to generate high-quality 3D animations using just text or video inputs, without needing any prior animation experience. Krikey AI used SageMaker Ground Truth to expedite the development and implementation of their text-to-animation model.

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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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Smart Data Collective

MAY 10, 2022

Artificial intelligence (AI) is all the rage now. One of the critical industries AI is making strides in is the financial technology “fintech” industry. AI now plays a significant role in facilitating financial services, replacing what required manual work a few years ago. AI in fintech is here to stay.

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Towards AI

APRIL 6, 2023

Last Updated on April 11, 2023 by Editorial Team Author(s): Adrienne Kline Originally published on Towards AI. Coined after the viral phrase, ‘you only live once’ (YOLO), the machine learning (ML) world first coined this acronym and repurposed it to You Only Look Once — YOLO. Join thousands of data leaders on the AI newsletter.

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Deep Learning Deep Learning Machine Learning Machine Learning 97

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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AWS Machine Learning Blog

OCTOBER 26, 2023

Enterprises seek to harness the potential of Machine Learning (ML) to solve complex problems and improve outcomes. Until recently, building and deploying ML models required deep levels of technical and coding skills, including tuning ML models and maintaining operational pipelines. References Lewis, P., Petroni, F., Küttler, H.,

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IBM Journey to AI blog

AUGUST 12, 2024

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. AIOPs refers to the application of artificial intelligence (AI) and machine learning (ML) techniques to enhance and automate various aspects of IT operations (ITOps).

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. This was the first and only APEJ-specific analyst evaluation focused on AI life-cycle software from IDC. Vendor Requirements for the IDC MarketScape.

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Becoming Human

MAY 19, 2023

The WTO is getting vocal about the introduction of AI technologies to help the transport and logistics industry to excel in a better way. Furthermore, AI can improve transport and logistics operations by enhancing the supply chain and customer experience. between 2020 and 2025. Some of its use cases are as below.

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O'Reilly Media

NOVEMBER 19, 2024

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). at Facebook—both from 2020. What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s.

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AWS Machine Learning Blog

DECEMBER 14, 2023

This can significantly shorten the time needed to deploy the Machine Learning (ML) pipeline to production. The following is the sample code to schedule a SageMaker Processing job for a specified day, for example 2020-01-01, using the SageMaker SDK. session.Session().region_name session.Session().region_name

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