Flipboard

NOVEMBER 6, 2024

Nvidia has shed light on how xAI’s ‘Colossus’ supercomputer cluster can keep a handle on 100,000 Hopper GPUs - and it’s all down to using the …

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AWS Machine Learning Blog

DECEMBER 24, 2024

The process of setting up and configuring a distributed training environment can be complex, requiring expertise in server management, cluster configuration, networking and distributed computing. Scheduler : SLURM is used as the job scheduler for the cluster. You can also customize your distributed training.

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Towards AI

FEBRUARY 23, 2024

Learn how to apply state-of-the-art clustering algorithms efficiently and boost your machine-learning skills.Image source: unsplash.com. This is called clustering. In Data Science, clustering is used to group similar instances together, discovering patterns, hidden structures, and fundamental relationships within a dataset.

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Flipboard

JANUARY 24, 2025

New details have emerged about Project Stargate, the $500 billion initiative through which OpenAI hopes to build a cluster of artificial intelligence

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Analytics Vidhya

APRIL 11, 2023

These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science. Introduction Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry.

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Dataconomy

MARCH 13, 2023

How to create an artificial intelligence? The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. Understanding artificial intelligence Before diving into the process of creating AI, it is important to understand the key concepts and types of AI.

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Analytics Vidhya

APRIL 1, 2023

AI marketing analytics tools help a marketer plan strategically from the cluster of data […] The post Top 14 Marketing Analytics Tools for Data-Driven Marketers appeared first on Analytics Vidhya. These two actions help acknowledge the actual outcomes of efforts to boost businesses.

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AWS Machine Learning Blog

APRIL 4, 2023

In this post, we seek to separate a time series dataset into individual clusters that exhibit a higher degree of similarity between its data points and reduce noise. The purpose is to improve accuracy by either training a global model that contains the cluster configuration or have local models specific to each cluster.

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Analytics Vidhya

JANUARY 11, 2024

Before “data science” glimmered, Khalifeh Al Jadda was wrangling web clusters in 2005. This interview unearths his journey from academia’s trenches to building cutting-edge AI at Google Ads and revolutionizing businesses through AI.

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insideBIGDATA

APRIL 1, 2025

Heres a quick (8:42) review of recent news from the world of HPC-AI, including: AMD MI355X to debut with a 30,000-GPU Oracle cluster, in the face of U.S. Happy April Fools Day to you! trade policy, ASML to open repair hub in China, EuroHPC-JUs CINECA selects 140-qubit Pasqal system, rising star Torsten.

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Dataconomy

DECEMBER 18, 2024

The company aims to enhance its artificial intelligence capabilities, particularly within its Azure cloud services. Amazon has announced plans to create a new data processing cluster featuring hundreds of thousands of its latest Trainium chips for Anthropic, showcasing a commitment to AI infrastructure. Microsoft Corp.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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ODSC - Open Data Science

MARCH 14, 2023

One of the simplest and most popular methods for creating audience segments is through K-means clustering, which uses a simple algorithm to group consumers based on their similarities in areas such as actions, demographics, attitudes, etc. In this tutorial, we will work with a data set of users on Foursquare’s U.S.

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AWS Machine Learning Blog

JULY 25, 2024

Solution overview The solution is based on the node problem detector and recovery DaemonSet, a powerful tool designed to automatically detect and report various node-level problems in a Kubernetes cluster. Choose Clusters in the navigation pane, open the trainium-inferentia cluster, choose Node groups, and locate your node group. #

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Flipboard

NOVEMBER 18, 2024

Artificial intelligence infrastructure provider Nebius Group NV today announced the launch of its first graphics processing unit clusters in the U.S. …

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Towards AI

MAY 8, 2024

K-means is probably one of the most clustering algorithms out there. In a nutshell, what K-means does to produce its clusters is to find the centers of data, called as centroids, and assign data points to the center where they are closest.

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Towards AI

SEPTEMBER 3, 2024

We will discuss KNNs, also known as K-Nearest Neighbours and K-Means Clustering. I’m trying out a new thing: I draw illustrations of graphs, etc., myself, so we’ll also look at some nice illustrations that help us understand the concept. They are both ML Algorithms, and we’ll explore them more in detail in a bit.

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ODSC - Open Data Science

FEBRUARY 23, 2023

Justice Department The Justice Department recently made a request for information from Tesla regarding its use of artificial intelligence in its self-driving cars. Tesla’s Automated Driving Documents Have Been Requested by The U.S. The Quest to Create AI Therapists We have chatbots for almost everything, including AI therapists now.

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ODSC - Open Data Science

AUGUST 31, 2023

Visualization for Clustering Methods Clustering methods are a big part of data science, and here’s a primer on how you can visualize them. Video of the Week: Lightning Interview “Confident Data Science” Artificial intelligence is a hot field right now, with thousands of people eager to enter the industry.

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Flipboard

NOVEMBER 25, 2024

Most AI activity is clustered around the Seattle metro area, leaving other parts of Washington underrepresented and less developed in AI initiatives, according to WTIA’s new report. Tech synergies and diversity of applications: A significant number of startups integrate AI with emerging technologies such as robotics, IoT/edge, and Web3.

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Dataconomy

FEBRUARY 4, 2025

Boujelbene noted that Ethernet is gaining traction as the primary fabric for large-scale AI clusters, driven by supply and demand dynamics. Notably, even major NVIDIA GPU-based clusters, such as xAI’s Colossus, are adopting Ethernet, prompting an advancement in the projected crossover timeline of Ethernet with InfiniBand by one year.

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Flipboard

FEBRUARY 16, 2025

Several studies have implemented artificial intelligence (AI) to detect CKD. In this study, we collected and analyzed center-based data and used a recursive embedding and clustering technique to reduce their dimensionality. We identified three clusters from 1600 records.

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Flipboard

DECEMBER 27, 2024

DeepSeek trains DeepSeek-V3 model with 671 billion parameters on a cluster of 2048 GPUs.

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Dataconomy

MAY 25, 2023

The integration of artificial intelligence in Internet of Things introduces new dimensions of efficiency, automation, and intelligence to our daily lives. Simultaneously, artificial intelligence has revolutionized the way machines learn, reason, and make decisions.

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Dataconomy

MARCH 3, 2025

Thanks to machine learning (ML) and artificial intelligence (AI), it is possible to predict cellular responses and extract meaningful insights without the need for exhaustive laboratory experiments. Gene set enrichment : Identify clusters of genes that behave similarly under perturbations and describe their common function.

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Dataconomy

JANUARY 3, 2024

From local happenings to global events, understanding the torrent of information becomes manageable when we apply intelligent data strategies to our media consumption. Machine learning: curating your news experience Data isn’t just a cluster of numbers and facts; it’s becoming the sculptor of the media experience.

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Flipboard

JUNE 29, 2023

Designer Tim Fu has used LookX, an artificial intelligence tool trained on architecture, to turn squashed paper into building models that evoke designs by architects Frank Gehry and Zaha Hadid. Top image: an AI-designed building in the style of SANAA. "By The images are courtesy of Tim Fu.

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Hacker News

JUNE 12, 2024

Meta is currently operating many data centers with GPU training clusters across the world. A year ago, however, as the industry reached a critical inflection point due to the rise of artificial intelligence (AI), we recognized that to lead in the generative AI space we’d need to transform our fleet.

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Dataconomy

FEBRUARY 20, 2025

This study, “ Neurosymbolic Artificial Intelligence via Large Language Models and Coherence-Driven Inference ,” conducted by Steve Huntsman and Jewell Thomas from Cynnovative, explores a novel approach to integrating coherence-driven inference (CDI) with large language models (LLMs).

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Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. The unsupervised ML algorithms are used to: Find groups or clusters; Perform density estimation; Reduce dimensionality. Clustering – Exploration of Data. Source ].

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Towards AI

NOVEMBER 1, 2024

⏱ In today’s edition: Mark Zuckerberg Announces Meta’s Llama 4Parallels Brings Apple Intelligence to WindowsRecraft V3 Challenges MidjourneyMeta AI Surpasses 500 Million UsersAnd more AI news….Image

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DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Time Series Clustering empowers you to automatically detect new ways to segment your series as economic conditions change quickly around the world.

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Pickl AI

JANUARY 13, 2025

Summary: This curated list of 20 Artificial Intelligence books for beginners highlights foundational concepts, coding practices, and ethical insights. Introduction Artificial Intelligence (AI) continues to shape the future, with its market size skyrocketing from $515.31 billion in 2023 to a projected $2,740.46

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Dataconomy

SEPTEMBER 17, 2024

But if that wasn’t enough to make tech enthusiasts’ jaws drop, Musk recently took to his platform, X, to reveal that the real showstopper—Colossus, a 100,000 H100 training cluster—has officially come online. What exactly are AI clusters? This weekend, the @xAI team brought our Colossus 100k H100 training cluster online.

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AWS Machine Learning Blog

NOVEMBER 27, 2024

Launching a machine learning (ML) training cluster with Amazon SageMaker training jobs is a seamless process that begins with a straightforward API call, AWS Command Line Interface (AWS CLI) command, or AWS SDK interaction. The training data, securely stored in Amazon Simple Storage Service (Amazon S3), is copied to the cluster.

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Dataconomy

SEPTEMBER 22, 2023

Artificial intelligence (AI) can be used to automate and optimize the data archiving process. Clustering Clustering is a technique used in machine learning and data mining to group similar data points together based on their characteristics. How can AI help with data archiving?

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Flipboard

AUGUST 31, 2023

Tesla has revealed its investment into a massive compute cluster comprising 10,000 Nvidia H100 GPUs specifically designed to power AI workloads.

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