Hacker News

MARCH 12, 2024

We are strongly committed to open compute and open source. By the end of 2024, we’re aiming to continue to grow our infrastructure build-out that will include 350,000 NVIDIA H100 GPUs as part of a portfolio that will feature compute power equivalent to nearly 600,000 H100s. We use this cluster design for Llama 3 training.

Clustering 181

Clustering AI AI ML 181

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Philips is a health technology company focused on improving people’s lives through meaningful innovation. 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.

AWS 88

AWS ML ML AI 88

AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

AWS 82

AWS ML ML Machine Learning 82

The MLOps Blog

FEBRUARY 27, 2023

Every episode is focused on one specific ML topic, and during this one, we talked to Michal Tadeusiak about managing computer vision projects. I’m joined by my co-host, Stephen, and with us today, we have Michal Tadeusiak , who will be answering questions about managing computer vision projects. I’m Sabine, your host.

ML 52

ML ML Data Scientist Machine Learning 52

Hacker News

JANUARY 9, 2024

we’ve been steadily delivering the fruits of our research and development in.1 And all those years we’ve been continuing to build a taller and taller tower of capabilities, progressively expanding the scope of our vision and the breadth of our computational coverage of the world: Version 1.0 Version 14.0 and Version 13.3.

Python 181

Python Algorithm Machine Learning Machine Learning 181

Google Research AI blog

FEBRUARY 10, 2023

Posted by Vahab Mirrokni, VP and Google Fellow, Google Research (This is Part 5 in our series of posts covering different topical areas of research at Google. Robust algorithm design is the backbone of systems across Google, particularly for our ML and AI models. You can find other posts in the series here.)

Algorithm 110

Algorithm Clustering ML ML 110

Dataconomy

JULY 3, 2023

We all know there cannot be a single answer to any given question, and that’s where evolutionary computing comes into play. Inspired by nature’s own processes, evolutionary computing uses smart algorithms to tackle complex challenges in various areas. But it doesn’t stop there.

Algorithm 91

Algorithm Artificial Intelligence Artificial Intelligence Clustering 91

AWS Machine Learning Blog

MAY 1, 2024

Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. Llama2 by Meta is an example of an LLM offered by AWS. It comes in a range of parameter sizes—7 billion, 13 billion, and 70 billion—as well as pre-trained and fine-tuned variations.

AWS 83

AWS ML ML Clustering 83

Hacker News

JULY 2, 2023

In 1979 the Macintosh personal computer existed only as the pet idea of Jef Raskin, a veteran of the Apple II team, who had proposed that Apple Computer Inc. make a low-cost “appliance”-type computer that would be as easy to use as a toaster. This article was first published as “Design case history: Apple’s Macintosh.”

148

148

Dataconomy

MAY 12, 2023

What is distributed computing? It stands as a testament to the remarkable synergy achieved when computing power transcends the boundaries of a single machine. In the realm of distributed computing, the intricately orchestrated interplay of multiple interconnected nodes unfolds, akin to a meticulously choreographed symphony.

Cloud Computing 87

Cloud Computing Clustering Database Data Analysis 87

Hacker News

JUNE 28, 2023

We’ve worked very hard to make its design as clean and coherent as possible—and to make it a timeless way to elegantly represent computation and everything that can be described through it. Last Friday I fired up Version 1 on an old Mac SE/30 computer (with 2.5 Last Friday (June 23) we celebrated 35 years since Version 1.0

Machine Learning 182

Machine Learning Machine Learning AI AI 182

ODSC - Open Data Science

APRIL 19, 2023

All of this means that deep learning will not only continue to be a critical area of research in development today but will only increasingly become more important in the future. So let’s take a quick dive and see some big sessions about deep learning coming up at ODSC East May 9th-11th. Then this two-part workshop is for you.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Hacker News

MAY 3, 2023

In the grand tapestry of modern artificial intelligence, how do we ensure that the threads we weave when designing powerful AI systems align with the intricate patterns of human values? This question lies at the heart of AI alignment , a field that seeks to harmonize the actions of AI systems with our own goals and interests.

Supervised Learning 178

Supervised Learning Natural Language Processing AI AI 178

Hacker News

FEBRUARY 2, 2023

Computational Foundations for the Second Law of Thermodynamics (forthcoming) 2. This is part 2 in a 3-part series about the Second Law: 1. A 50-Year Quest: My Personal Journey with the Second Law of Thermodynamics 3. How Did We Get Here? There were several shelves of physics books at the local bookstore. Then the third. The second.

Machine Learning 146

Machine Learning Machine Learning Algorithm Analytics 146

AWS Machine Learning Blog

JUNE 7, 2023

In addition to designing the model architecture, researchers need to set up state-of-the-art training techniques for distributed training like mixed precision support, gradient accumulation, and checkpointing. The optimizer states were partitioned by DeepSpeed to train large models using the data parallel paradigm.

AWS 67

AWS Clustering Deep Learning Deep Learning 67

AWS Machine Learning Blog

MARCH 6, 2023

SageMaker Training is a managed batch ML compute service that reduces the time and cost to train and tune models at scale without the need to manage infrastructure. Parallelism – Your choice of distributed training library is crucial for appropriate use of the GPUs. Resiliency – At scale, hardware failures can happen.

AWS 78

AWS Clustering ML ML 78

Dataconomy

MAY 24, 2023

Blockchain technology is a decentralized and distributed ledger system that allows for the secure and transparent recording of transactions across multiple computers or nodes. Achieving the highest level of efficiency requires striking a delicate balance between these elements. What is blockchain technology?

Internet of Things 149

Internet of Things Data Modeling Data Models Algorithm 149

The MLOps Blog

MARCH 23, 2023

NLP models in commercial applications such as text generation systems have experienced great interest among the user. The size of large NLP models is increasing | Source Such large natural language processing models require significant computational power and memory, which is often the leading cause of high infrastructure costs.

Natural Language Processing 115

Natural Language Processing Cloud Computing AWS Deep Learning 115

The MLOps Blog

APRIL 20, 2023

With over 3 years of experience in designing, building, and deploying computer vision (CV) models , I’ve realized people don’t focus enough on crucial aspects of building and deploying such complex systems. Hopefully, at the end of this blog, you will know a bit more about finding your way around computer vision projects.

ML 64

ML ML Cross Validation Data Quality 64

Google Research AI blog

FEBRUARY 2, 2023

Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, and Adam Paszke, Staff Research Scientist, Google Research (This is Part 3 in our series of posts covering different topical areas of research at Google. Great machine learning (ML) research requires great systems.

ML 72

ML ML Algorithm Machine Learning 72

Google Research AI blog

JANUARY 18, 2023

Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in the series.

ML 132

ML ML AI AI 132

AWS Machine Learning Blog

MAY 4, 2023

However, their increasing complexity also comes with high costs for inference and a growing need for powerful compute resources. However, their increasing complexity also comes with high costs for inference and a growing need for powerful compute resources.

AWS 76

AWS Deep Learning Deep Learning ML 76

The MLOps Blog

AUGUST 11, 2023

Many questions regarding building machine learning pipelines and systems have already been answered and come from industry best practices and patterns. However, this efficient system does not just operate independently – it necessitates a comprehensive architectural approach and thoughtful design consideration.

ML 52

ML ML Machine Learning Machine Learning 52

The MLOps Blog

JUNE 27, 2023

As you delve into the landscape of MLOps in 2023, you will find a plethora of tools and platforms that have gained traction and are shaping the way models are developed, deployed, and monitored. MLOps landscape One of the defining characteristics of the MLOps landscape in 2023 is the coexistence of both open-source and closed-source solutions.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Google Research AI blog

FEBRUARY 9, 2023

Posted by Ted White and Ofer Naaman, Staff Research Scientists, Google Quantum AI The Google Quantum AI team is building quantum computers with superconducting microwave circuits, but much like a classical computer the superconducting processor at the heart of these computers is only part of the story.

AI 101

AI AI Algorithm 101

Google Research AI blog

JULY 23, 2023

Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more.

Machine Learning 77

Machine Learning Machine Learning ML ML 77

AWS Machine Learning Blog

MAY 15, 2023

Getir relies heavily on accurate demand forecasts at a SKU level when making business decisions in a wide range of areas, including marketing, production, inventory, and finance. Step Functions is a fully managed service that makes it easier to coordinate the components of distributed applications and microservices using visual workflows.

Algorithm 68

Algorithm Data Scientist AWS Machine Learning 68

The MLOps Blog

JULY 18, 2023

This article was originally an episode of the MLOps Live , an interactive Q&A session where ML practitioners answer questions from other ML practitioners. Every episode is focused on one specific ML topic, and during this one, we talked to Jason Falks about deploying conversational AI products to production. Hi, Jason, and welcome.

AI 52

AI AI Natural Language Processing Machine Learning 52

AWS Machine Learning Blog

JUNE 13, 2023

The Falcon has landed on SageMaker TII is the applied research organization within Abu Dhabi’s Advanced Technology Research Council ; its team of scientists, researchers, and engineers is dedicated to the discovery of transformative technologies and development of scientific breakthroughs that will future-proof our society.

AWS 72

AWS Deep Learning Deep Learning Machine Learning 72

AWS Machine Learning Blog

JULY 31, 2023

Drug development is a complex and long process that involves screening thousands of drug candidates and using computational or experimental methods to evaluate leads. Drug discovery is the research component of this pipeline that generates candidate drugs with the highest likelihood of being effective with the least harm to patients.

ML 77

ML ML Database Algorithm 77

Chatbots Life

MAY 12, 2023

Unfortunately, the model’s release wasn’t accompanied by a research paper, and its only official description can be found on the OpenAI blog. Formally, a language model is a probability distribution over words or word sequences. How ChatGPT really works and will it change the field of IT and AI? — a Why is ChatGPT so effective?

AI 105

AI AI ML ML 105

AssemblyAI

NOVEMBER 21, 2022

The method employs AlphaTensor , an AI-based system that operates on Deep Reinforcement Learning. Even beyond the specific context of Neural Networks, matrix multiplication lies at the foundation of much of modern computing, playing a fundamental role in computer graphics, digital communications, and scientific computation.

Algorithm 52

Algorithm Supervised Learning Deep Learning Deep Learning 52

Cambridge Intelligence

OCTOBER 19, 2023

Needless to say, this post isn’t a substitute for your own research. Each has its own strengths and weaknesses, and the best option for you will depend on your specific use case and requirements. That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application.

Database 59

Database Azure SQL AWS 59

PyImageSearch

JANUARY 23, 2023

Jump Right To The Downloads Section Scaling Kaggle Competitions Using XGBoost: Part 4 If you went through our previous blog post on Gradient Boosting, it should be fairly easy for you to grasp XGBoost, as XGBoost is heavily based on the original Gradient Boosting algorithm. What Is XGBoost? By default, in practice, it is always set to 0.5.

Deep Learning 107

Deep Learning Deep Learning Algorithm Decision Trees 107

Heartbeat

MAY 11, 2023

But just because we have all these YOLOs doesn’t mean that deep learning for object detection is a dormant area of research. In the subfield of computer vision, the competition for cutting-edge object detection is fierce. At Deci, a team of researchers aimed to create a model that would stand out amongst the rest.

Deep Learning 75

Deep Learning Deep Learning ML ML 75

Snorkel AI

MAY 26, 2023

This is a key area that enables organizations to take their ML experiments into production. Almost all their business decisions are being aided by decisions made by AI and ML systems, be it automated decisions or hybrid that are in conjunction with humans. So we’re going to be talking about scalable SQL + Python ML pipelines.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

This is a key area that enables organizations to take their ML experiments into production. Almost all their business decisions are being aided by decisions made by AI and ML systems, be it automated decisions or hybrid that are in conjunction with humans. So we’re going to be talking about scalable SQL + Python ML pipelines.

SQL 52

SQL ML ML Python 52