2014, AWS and Deep Learning - Data Science Current

A Glimpse into the Unprecedented Growth of NVIDIA in the World of AI

Data Science Dojo

MARCH 4, 2024

Emerging as a key player in deep learning (2010s) The decade was marked by focusing on deep learning and navigating the potential of AI. Introduction of cuDNN Library: In 2014, the company launched its cuDNN (CUDA Deep Neural Network) Library. It provided optimized codes for deep learning models.

Deep Learning

Deep Learning Deep Learning AI AI

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. Request a VPC peering connection.

AWS

AWS Analytics Analytics Machine Learning

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

ML

ML ML AWS AI

Faster distributed graph neural network training with GraphStorm v0.4

AWS Machine Learning Blog

FEBRUARY 11, 2025

Today, AWS AI released GraphStorm v0.4. Prerequisites To run this example, you will need an AWS account, an Amazon SageMaker Studio domain, and the necessary permissions to run BYOC SageMaker jobs. Using SageMaker Pipelines to train models provides several benefits, like reduced costs, auditability, and lineage tracking. million edges.

AWS

AWS Python ML ML

GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning Blog

AUGUST 2, 2024

license to help you tackle your large-scale graph ML challenges, and now offers native support for multi-task learning and new APIs to customize pipelines and other components of GraphStorm. He is now leading the development of GraphStorm, an open-source graph machine learning framework for enterprise use cases. He received his Ph.D.

ML

ML ML Machine Learning Machine Learning

Foundational vision models and visual prompt engineering for autonomous driving applications

AWS Machine Learning Blog

NOVEMBER 15, 2023

As an example downstream application, the fine-tuned model can be used in pre-labeling workflows such as the one described in Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS. Start building the future with AWS today.

Machine Learning

Machine Learning Machine Learning ML ML

The Future of Machine Learning: Understanding GANs and DRL

Heartbeat

FEBRUARY 27, 2023

Photo by Markus Spiske on Unsplash Deep learning has grown in importance as a focus of artificial intelligence research and development in recent years. Deep Reinforcement Learning (DRL) and Generative Adversarial Networks (GANs) are two promising deep learning trends.

Machine Learning

Machine Learning Machine Learning Deep Learning Deep Learning

Explain text classification model predictions using Amazon SageMaker Clarify

AWS Machine Learning Blog

JANUARY 25, 2023

It is constructed by selecting 14 non-overlapping classes from DBpedia 2014. About the Authors Pinak Panigrahi works with customers to build machine learning driven solutions to solve strategic business problems on AWS. Dhawal Patel is a Principal Machine Learning Architect at AWS.

Algorithm

Algorithm Natural Language Processing Machine Learning Machine Learning

Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning

AWS Machine Learning Blog

JULY 13, 2023

Recent years have shown amazing growth in deep learning neural networks (DNNs). International Conference on Machine Learning. On large-batch training for deep learning: Generalization gap and sharp minima.” Toward understanding the impact of staleness in distributed machine learning.” PMLR, 2018. [2]

Clustering

Clustering Algorithm Deep Learning Deep Learning

How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

OCTOBER 23, 2024

Deep Learning Techniques Used to Manage Unstructured Data Now that you have seen some of the tools used in unstructured data management let’s explore the deep learning techniques you can use to process and understand unstructured data. The tool offers a web UI as well as Python and TypeScript SDKs for developers.

Machine Learning

Machine Learning Machine Learning AI AI

Must-Have Prompt Engineering Skills for 2024

ODSC - Open Data Science

JANUARY 29, 2024

GANs, introduced in 2014 paved the way for GenAI with models like Pix2pix and DiscoGAN. Open Source ML/DL Platforms: Pytorch, Tensorflow, and scikit-learn Hiring managers continue to favor the most popular open-source machine/deep learning platforms including Pytorch, Tensorflow, and scikit-learn.

Data Science

Data Science Machine Learning Machine Learning Natural Language Processing

Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton

AWS Machine Learning Blog

FEBRUARY 29, 2024

Large-scale deep learning has recently produced revolutionary advances in a vast array of fields. is a startup dedicated to the mission of democratizing artificial intelligence technologies through algorithmic and software innovations that fundamentally change the economics of deep learning. Founded in 2021, ThirdAI Corp.

AWS

AWS Deep Learning Deep Learning ML

Luminaries and enterprise veterans to speak at Future of Data-centric AI

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing.

Machine Learning

Machine Learning Machine Learning AI AI

Luminaries and enterprise veterans to speak at Future of Data-centric AI

Snorkel AI

MAY 24, 2023

From generative modeling to automated product tagging, cloud computing, predictive analytics, and deep learning, the speakers present a diverse range of expertise. He received the 2014 ACM Doctoral Dissertation Award and the 2019 Presidential Early Career Award for Scientists and Engineers for his research on large-scale computing.

Machine Learning

Machine Learning Machine Learning AI AI

Mitigating risk: AWS backbone network traffic prediction using GraphStorm

Flipboard

JANUARY 15, 2025

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. Specifically, we need to predict how changes to one part of the AWS global backbone network might affect traffic patterns and performance across the entire system.

AWS

AWS Machine Learning Machine Learning System Architecture

Data Science Current

A Glimpse into the Unprecedented Growth of NVIDIA in the World of AI

Federated Learning on AWS with FedML: Health analytics without sharing sensitive data – Part 2

Trending Sources

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

Faster distributed graph neural network training with GraphStorm v0.4

GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

Foundational vision models and visual prompt engineering for autonomous driving applications

The Future of Machine Learning: Understanding GANs and DRL

Explain text classification model predictions using Amazon SageMaker Clarify

Effectively solve distributed training convergence issues with Amazon SageMaker Hyperband Automatic Model Tuning

How to Manage Unstructured Data in AI and Machine Learning Projects

Must-Have Prompt Engineering Skills for 2024

Accelerating large-scale neural network training on CPUs with ThirdAI and AWS Graviton

Luminaries and enterprise veterans to speak at Future of Data-centric AI

Luminaries and enterprise veterans to speak at Future of Data-centric AI

Mitigating risk: AWS backbone network traffic prediction using GraphStorm

Stay Connected