ML @ CMU

NOVEMBER 7, 2024

Since landmines are not used randomly but under war logic , Machine Learning can potentially help with these surveys by analyzing historical events and their correlation to relevant features. For the Risk Modeling component, we designed a novel interpretable deep learning tabular model extending TabNet.

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AWS Machine Learning Blog

APRIL 22, 2025

Infosys , a leading global IT services and consulting organization, used its digital expertise to tackle this challenge by pioneering, Infosys Event AI, an innovative AI-based event assistant. The absence of such a system hinders effective knowledge sharing and utilization, limiting the overall impact of events and workshops.

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AWS Machine Learning Blog

JANUARY 22, 2025

On our SASE management console, the central events page provides a comprehensive view of the events occurring on a specific account. With potentially millions of events over a selected time range, the goal is to refine these events using various filters until a manageable number of relevant events are identified for analysis.

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AWS Machine Learning Blog

DECEMBER 2, 2024

These improvements are available across a wide range of SageMaker’s Deep Learning Containers (DLCs), including Large Model Inference (LMI, powered by vLLM and multiple other frameworks), Hugging Face Text Generation Inference (TGI), PyTorch (Powered by TorchServe), and NVIDIA Triton.

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Google Research AI blog

MAY 23, 2023

However, with machine learning (ML), we have an opportunity to automate and streamline the code review process, e.g., by proposing code changes based on a comment’s text. As of today, code-change authors at Google address a substantial amount of reviewer comments by applying an ML-suggested edit. 3-way-merge UX in IDE.

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Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. One of the questions in the quest for a modular deep network is how a database of concepts with corresponding computational modules could be designed.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. This year, learn about LLMOps, not just MLOps!

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Dataconomy

MAY 9, 2025

Machine learning in software testing is rapidly reshaping the landscape of software development, enhancing the efficiency and accuracy with which applications are tested. As traditional testing methods evolve, integrating advanced technologies like machine learning (ML) offers a new frontier for improving testing processes.

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AWS Machine Learning Blog

FEBRUARY 7, 2024

In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Choose Create event type. The following screenshot shows our event type details.

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Data Science Dojo

OCTOBER 31, 2024

Key Skills: Mastery in machine learning frameworks like PyTorch or TensorFlow is essential, along with a solid foundation in unsupervised learning methods. Stanford AI Lab recommends proficiency in deep learning, especially if working in experimental or cutting-edge areas.

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Flipboard

FEBRUARY 10, 2025

Whether youre new to Gradio or looking to expand your machine learning (ML) toolkit, this guide will equip you to create versatile and impactful applications. Using the Ollama API (this tutorial) To learn how to build a multimodal chatbot with Gradio, Llama 3.2, and the Ollama API, just keep reading. Thats not the case.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

By harnessing the power of threat intelligence, machine learning (ML), and artificial intelligence (AI), Sophos delivers a comprehensive range of advanced products and services. The Sophos Artificial Intelligence (AI) group (SophosAI) oversees the development and maintenance of Sophos’s major ML security technology.

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Data Science Dojo

SEPTEMBER 25, 2024

Runway ML is another AI platform that offers a suite of AI-powered tools for video editing, including features like motion tracking and greenscreen, which make the post-production process more efficient and cost-effective. This analysis helps news organizations understand the public’s reaction to various events and topics.

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Dataconomy

MAY 2, 2023

The machine learning systems developed by Machine Learning Engineers are crucial components used across various big data jobs in the data processing pipeline. Additionally, Machine Learning Engineers are proficient in implementing AI or ML algorithms. Is ML engineering a stressful job?

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AWS Machine Learning Blog

DECEMBER 2, 2024

SageMaker Large Model Inference (LMI) is deep learning container to help customers quickly get started with LLM deployments on SageMaker Inference. Fast Model Loader is designed to tackle scaling challenges, potentially leading to improved resource utilization on GPU instances and more efficient scaling during autoscaling events.

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Heartbeat

NOVEMBER 29, 2023

Two names stand out prominently in the wide realm of deep learning: TensorFlow and PyTorch. These strong frameworks have changed the field, allowing researchers and practitioners to create and deploy cutting-edge machine learning models. TensorFlow and PyTorch present distinct routes to traverse.

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Data Science 101

FEBRUARY 15, 2020

Announcements around an exciting new open-source deep learning library, a new data challenge and more. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization. Welcome to Cloud Data Science 7. Also, Comprehend can be used for sentiment analysis.

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Dataconomy

DECEMBER 18, 2024

Machine Learning (ML) , a subset of AI, enables systems to learn and improve from data without explicit programming, making decisions based on patterns and large datasets. Deep Learning (DL) , a branch of ML, uses artificial neural networks to model complex relationships and solve problems with large datasets.

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Heartbeat

NOVEMBER 14, 2023

For many years, gradient-boosting models and deep-learning solutions have won the lion's share of Kaggle competitions. XGBoost is not limited to machine learning tasks, as its incredible power can be harnessed when harmonized with deep learning algorithms. " Nuclear Engineering and Technology 53, no.

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Heartbeat

NOVEMBER 27, 2023

Deep learning automates and improves medical picture analysis. Convolutional neural networks (CNNs) can learn complicated patterns and features from enormous datasets, emulating the human visual system. Convolutional Neural Networks (CNNs) Deep learning in medical image analysis relies on CNNs.

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AWS Machine Learning Blog

JUNE 22, 2023

Over 500 machine events are monitored in near-real time to give a full picture of machine conditions and their operating environments. Light & Wonder teamed up with the Amazon ML Solutions Lab to use events data streamed from LnW Connect to enable machine learning (ML)-powered predictive maintenance for slot machines.

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AWS Machine Learning Blog

JANUARY 9, 2023

Machine learning (ML) applications are complex to deploy and often require the ability to hyper-scale, and have ultra-low latency requirements and stringent cost budgets. Deploying ML models at scale with optimized cost and compute efficiencies can be a daunting and cumbersome task. Design patterns for building ML applications.

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The MLOps Blog

APRIL 5, 2023

In this comprehensive guide, we’ll explore the key concepts, challenges, and best practices for ML model packaging, including the different types of packaging formats, techniques, and frameworks. So, let’s dive in and discover everything you need to know about model packaging in machine learning.

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Dataconomy

JUNE 16, 2023

In order to prevent data loss, its system continuously monitors staff and offers event-driven security awareness training. The business’s solution makes use of AI to continually monitor personnel and deliver event-driven security awareness training in order to prevent data theft.

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Heartbeat

FEBRUARY 21, 2024

Photo by Almos Bechtold on Unsplash Deep learning is a machine learning sub-branch that can automatically learn and understand complex tasks using artificial neural networks. Deep learning uses deep (multilayer) neural networks to process large amounts of data and learn highly abstract patterns.

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AWS Machine Learning Blog

JUNE 5, 2025

In this post, we share how Radial optimized the cost and performance of their fraud detection machine learning (ML) applications by modernizing their ML workflow using Amazon SageMaker. Businesses need for fraud detection models ML has proven to be an effective approach in fraud detection compared to traditional approaches.

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AWS Machine Learning Blog

MARCH 1, 2023

The result of these events can be evaluated afterwards so that they make better decisions in the future. With this proactive approach, Kakao Games can launch the right events at the right time. Kakao Games can then create a promotional event not to leave the game. However, this approach is reactive.

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Flipboard

MAY 5, 2025

What AWS OpenSearch Is Commonly Used For AWS OpenSearch supports a wide range of search and analytics capabilities, from traditional text-based search to machine learning-driven insights, as illustrated below. Learning to Rank (LTR) and Re-Ranking: Uses ML models (e.g.,

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Heartbeat

NOVEMBER 21, 2023

Computer vision, the field dedicated to enabling machines to perceive and understand visual data, has witnessed a monumental shift in recent years with the advent of deep learning. Photo by charlesdeluvio on Unsplash Welcome to a journey through the advancements and applications of deep learning in computer vision.

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AWS Machine Learning Blog

APRIL 19, 2023

Businesses are increasingly using machine learning (ML) to make near-real-time decisions, such as placing an ad, assigning a driver, recommending a product, or even dynamically pricing products and services. Teams can now deliver robust features once and reuse them many times in a variety of models that may be built by different teams.

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AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. The subsequent role of EventBridge was to dispatch events, instigated by the alteration of the buildspec.yml file, leading to running CodeBuild.

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Flipboard

FEBRUARY 7, 2023

Amazon SageMaker Studio Lab provides no-cost access to a machine learning (ML) development environment to everyone with an email address. The third notebook shows how pre-trained MONAI deep learning models available on MONAI’s Model Zoo can be downloaded and used to segment TCIA (or your own) DICOM prostate MRI volumes.

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Heartbeat

JUNE 26, 2023

A guide to performing end-to-end computer vision projects with PyTorch-Lightning, Comet ML and Gradio Image by Freepik Computer vision is the buzzword at the moment. Today, I’ll walk you through how to implement an end-to-end image classification project with Lightning , Comet ML, and Gradio libraries.

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PyImageSearch

DECEMBER 4, 2023

Home Table of Contents ML Days in Tashkent — Day 1: City Tour Arriving at Tashkent! This blog is the 1st of a 3-part series: ML Days in Tashkent — Day 1: City Tour (this tutorial) ML Days in Tashkent — Day 2: Sprints and Sessions ML Days in Tashkent — Day 3: Demos and Workshops ML Days in Tashkent — Day 1: City Tour Arriving at Tashkent!

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Smart Data Collective

NOVEMBER 1, 2020

With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning? If you’ve ever come across deep learning, you might have heard about two methods to teach machines: supervised and unsupervised. Unsupervised ML: The Basics.

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The MLOps Blog

JUNE 27, 2023

Knowledge and skills in the organization Evaluate the level of expertise and experience of your ML team and choose a tool that matches their skill set and learning curve. Model monitoring and performance tracking : Platforms should include capabilities to monitor and track the performance of deployed ML models in real-time.

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Applied Data Science

JANUARY 4, 2022

Trying to make a summary of what happened in the world of AI out of a long and vague chain of events? Reinforcement learning rethinking its practices ?‍? Four awkward moments for AI Packing a full year of exciting AI events into a single post is not easy. Hiding your 2021 resolution list under a glass of champagne?

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