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.

Clustering 151

Clustering AI AI Computer Science 151

Flipboard

JUNE 5, 2023

One resembles the kind of pickup soccer game, usually with very young kids or drunk adults, where every player clusters in a … Here's why. There are, roughly speaking, two Silicon Valleys.

Clustering 123

Clustering AI AI Computer Science 123

Flipboard

JULY 10, 2023

Over time, many enterprises have built an on-premises cluster of servers, accumulating data, and then procuring more servers and storage. They often …

Clustering 77

Clustering ML ML AI 77

Pickl AI

JULY 18, 2023

The AI domain is expanding and is actively penetrating across different business niches. Companies are actively deploying AI technologies to run their businesses smoothly. At the same time, they are also actively hiring professionals with AI expertise. Who is an AI Architect? from 2023 to 2030. Lakhs to ₹ 56.7

AI 52

AI AI Machine Learning Machine Learning 52

ODSC - Open Data Science

JUNE 7, 2023

If you are unable to join us at the Tobacco Dock this June, we’ll be hosting lots of engaging training sessions, workshops, and talks on our virtual platform. Check out our confirmed sessions below.

Apache Kafka 52

Apache Kafka Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

APRIL 29, 2024

Continual pre-training techniques like the ones described in this post require access to high-performance compute instances, which has become more difficult to get as more developers are using generative artificial intelligence (AI) and LLMs for their applications. Our cluster consisted of 16 nodes, each equipped with a trn1n.32xlarge

AWS 101

AWS Clustering ML ML 101

ODSC - Open Data Science

OCTOBER 18, 2023

Many companies are now utilizing data science and machine learning , but there’s still a lot of room for improvement in terms of ROI. Completing Knowledge Discovery fast at High Quality with AI Alex Liu, Ph.D. It continues with the selection of a clustering algorithm and the fine-tuning of a model to create clusters.

Machine Learning 52

Machine Learning Machine Learning Clustering Data Science 52

Women in Big Data

DECEMBER 13, 2023

We are hearing about NLP, LLMs, ChatGPT and Generative AI a lot ! On December 5th, 2023, Dr Sonal Khosla took us on a journey from where it all began to the most recent Generative AI. Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that helps computers understand, interpret and manipulate human language.

Natural Language Processing 52

Natural Language Processing Big Data Big Data Computer Science 52

Towards AI

MAY 1, 2024

Last Updated on May 1, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 R has become very ideal for GIS, especially for GIS machine learning as it has topnotch libraries that can perform geospatial computation.

K-nearest Neighbors 85

K-nearest Neighbors Machine Learning Machine Learning Decision Trees 85

IBM Journey to AI blog

APRIL 18, 2024

While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. This gap highlights the vast difference between current AI and the potential of AGI.

AI 94

AI AI Computer Science Computer Science 94

ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Snorkel AI

JANUARY 26, 2024

The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Generic large language models (LLMs) are becoming the new baseline for modern enterprise AI. Enterprises also feel pressure to deliver on the potential of generative AI (GenAI).

Data Science 64

Data Science AI AI Machine Learning 64

ODSC - Open Data Science

APRIL 13, 2023

Botnets Detection at Scale — Lessons Learned From Clustering Billions of Web Attacks Into Botnets Read more to learn about the data flow, the challenges, and the way we get successful results of botnet detection. Hands-on Data-Centric AI: Data Preparation Tuning — Why and How? Here’s how. Learn more here.

ML 52

ML ML Data Science Machine Learning 52

Data Science Dojo

AUGUST 18, 2023

Large language models (LLMs) are AI models that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. They are typically trained on clusters of computers or even on cloud computing platforms. LLMs are a type of generative AI.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

ODSC - Open Data Science

APRIL 21, 2023

Generative AI has the world on fire. That’s why at ODSC East, generative AI will be one of the hot topics to be discussed in our talks, workshops, tutorials, and more. Let’s take a look at what’s in store for you at ODSC East this May 9th-11th and what you’ll learn about generative AI when you attend.

AI 52

AI AI Azure Algorithm 52

Snorkel AI

JANUARY 26, 2024

The eight speakers at the event—the second in our Enterprise LLM series—united around one theme: AI data development drives enterprise AI success. Generic large language models (LLMs) are becoming the new baseline for modern enterprise AI. Enterprises also feel pressure to deliver on the potential of generative AI (GenAI).

Data Science 52

Data Science AI AI Machine Learning 52

Pickl AI

JULY 25, 2023

These models may include regression, classification, clustering, and more. in fields like Computer Science, Statistics, or related disciplines. On the other hand, Data Engineers often have a background in Computer Science, Software Engineering, or a related field, but a Bachelor’s degree may suffice in some cases.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

APRIL 25, 2023

In this post, I will describe the process of analyzing a global AI research community network using Gephi and ChatGPT. Graph visualization finds applications in various fields, such as computer science, social network analysis, biology, and business. For this post, I selected AI collaboration data for 2022.

Data Science 52

Data Science AI AI Algorithm 52

Pickl AI

MAY 10, 2023

Machine Learning is a subset of Artificial Intelligence and Computer Science that makes use of data and algorithms to imitate human learning and improving accuracy. Being an important component of Data Science, the use of statistical methods are crucial in training algorithms in order to make classification.

Clustering 52

Clustering Decision Trees Machine Learning Machine Learning 52

Dataconomy

MARCH 13, 2023

The creation of artificial intelligence (AI) has long been a dream of scientists, engineers, and innovators. With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. The quality and quantity of data are crucial for the success of an AI system.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

Mlearning.ai

MAY 23, 2023

Here are a few courses you can check out — AI for Medicine Specialization Natural Language Processing Specialization Generative Adversarial Networks (GANs) Specialization Educational Background A Bachelor’s degree in a quantitative field like computer science, mathematics, statistics, or engineering is often the minimum requirement.

Data Science 52

Data Science Data Scientist Apache Hadoop Machine Learning 52

Snorkel AI

JANUARY 26, 2023

Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers. I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning.

K-nearest Neighbors 52

K-nearest Neighbors Clustering AI AI 52

Snorkel AI

JANUARY 26, 2023

Snorkel AI co-founder and CEO Alex Ratner recently interviewed several Snorkel researchers about their published academic papers. I am a PhD student in the computer science department at Stanford, advised by Chris Ré working on some broad themes of understanding data-centric AI, weak supervision and theoretical machine learning.

K-nearest Neighbors 52

K-nearest Neighbors Clustering AI AI 52

IBM Journey to AI blog

DECEMBER 20, 2023

That’s why diversifying enterprise AI and ML usage can prove invaluable to maintaining a competitive edge. ML is a computer science, data science and artificial intelligence (AI) subset that enables systems to learn and improve from data without additional programming interventions. What is machine learning?

Machine Learning 80

Machine Learning Machine Learning Supervised Learning Clustering 80

Heartbeat

AUGUST 23, 2023

NLP is fundamentally an interdisciplinary field that blends linguistics, computer science, and artificial intelligence to provide robots with the capacity to comprehend and analyze human language. But exactly what is NLP , and how can it facilitate legal discovery?

Natural Language Processing 52

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 52

NYU Center for Data Science

NOVEMBER 15, 2023

The conference began in 1987 and focuses on the advancement of research in AI and machine learning. The conference will take place in-person at the New Orleans Ernest N. Morial Convention Center.

Data Science 82

Data Science Computer Science Computer Science Supervised Learning 82

NYU Center for Data Science

JANUARY 25, 2024

Andrew Wilson (Associate Professor of Computer Science and Data Science) “ A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning ” by Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C.

Computer Science 73

Computer Science Computer Science Data Science Supervised Learning 73

IBM Journey to AI blog

JULY 6, 2023

These computer science terms are often used interchangeably, but what differences make each a unique technology? While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences.

Deep Learning 60

Deep Learning Deep Learning Machine Learning Machine Learning 60

Data Science 101

OCTOBER 12, 2023

How did your career lead you to become a researcher in the AI and LLM space? I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. Once the data is processed I do machine learning: clustering, topic finding, extraction, and classification. ” — Lucas A. I use PyTorch for that.

Azure 64

Azure Computer Science Computer Science Clustering 64

Towards AI

APRIL 4, 2024

Last Updated on April 4, 2024 by Editorial Team Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. Created by the author with DALL E-3 Machine learning algorithms are the “cool kids” of the tech industry; everyone is talking about them as if they were the newest, greatest meme.

K-nearest Neighbors 75

K-nearest Neighbors Machine Learning Machine Learning Decision Trees 75

AWS Machine Learning Blog

MAY 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). For more information on Trainium Accelerator chips, refer to Achieve high performance with lowest cost for generative AI inference using AWS Inferentia2 and AWS Trainium on Amazon SageMaker.

AWS 80

AWS ML ML Clustering 80

Flipboard

AUGUST 17, 2023

Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster. In the processing job API, provide this path to the parameter of submit_jars to the node of the Spark cluster that the processing job creates. We attached the IAM role to the Redshift cluster that we created earlier.

ML 93

ML ML AWS Data Warehouse 93

AWS Machine Learning Blog

SEPTEMBER 18, 2023

Ray AI Runtime (AIR) reduces friction of going from development to production. With Ray and AIR, the same Python code can scale seamlessly from a laptop to a large cluster. XGBoost-Ray uses this information to distribute the training across all the nodes attached to the Ray cluster.

Machine Learning 100

Machine Learning Machine Learning ML ML 100

AWS Machine Learning Blog

MARCH 15, 2024

Solution overview We deploy FedML into multiple EKS clusters integrated with SageMaker for experiment tracking. EKS Blueprints helps compose complete EKS clusters that are fully bootstrapped with the operational software that is needed to deploy and operate workloads. Chaoyang He is Co-founder and CTO of FedML, Inc.,

AWS 106

AWS ML ML Machine Learning 106

AWS Machine Learning Blog

JANUARY 20, 2023

In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. The challenge CCC processes more than $1 trillion claims transactions annually.

AWS 65

AWS AI AI Computer Science 65

PyImageSearch

APRIL 3, 2023

computer vision) on a daily basis. As an engineer, your work might include more than just running the deep learning models on a cluster equipped with high-end GPUs and achieving state-of-the-art results on the test data. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Deep Learning 64

Deep Learning Deep Learning AI AI 64

Google Research AI blog

FEBRUARY 28, 2023

We also support Responsible AI projects directly for other organizations — including our commitment of $3M to fund the new INSAIT research center based in Bulgaria. In 2022, we expanded our research interactions and programs to faculty and students across Latin America , which included grants to women in computer science in Ecuador.

ML 72

ML ML Deep Learning Deep Learning 72