Hacker News

NOVEMBER 21, 2023

Western Research Laboratory , in Palo Alto, Calif., as a researcher specializing in microprocessor design. While there, he investigated how to build hardware to run more modern business applications and Web services. He died unexpectedly of natural causes. In 1995 he joined the Digital Equipment Corp. as a software engineer.

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ODSC - Open Data Science

MARCH 12, 2024

With large language models and generative AI reshaping the digital landscape, what isn’t talked about enough is how these technologies have also revolutionized and significantly shifted the landscape of hardware requirements. That’s because the computational power required to train and run LLMs and generative AI is immense.

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Towards AI

FEBRUARY 20, 2024

The improvements were made, particularly by moving to a Mixture of Experts architecture and many other changes across architecture and data. The improvements were made, particularly by moving to a Mixture of Experts architecture and many other changes across architecture and data. Additionally, this new smaller Pro 1.5

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Dataconomy

JANUARY 10, 2024

The company is staking its claim in this domain with the launch of its new AR/VR headset, the Apple Vision Pro. This approach aligns with the growing interest in what is spatial computing and its potential impact on future technology. Those who have tried the Vision Pro often struggle to find the right words to convey its impact.

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ODSC - Open Data Science

SEPTEMBER 13, 2023

The main aim of my talk at ODSC West will be to enable the attendees to assimilate the key concepts in the area, and position graph representation learning in a proper context with related fields, making graph representation learning easy to navigate, leverage, and contribute to.

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Towards AI

JULY 21, 2023

The new architecture helps reduce parameter size in addition to making models deeper. Which means this new architecture can match or achieve better results with the traditional transformer architecture but is much lighter. As of right now, the architecture can help with language modeling and machine translation.

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Google Research AI blog

APRIL 7, 2023

Posted by Thomas Lew, Research Intern, and Montserrat Gonzalez Arenas, Research Engineer, Google Research, Brain Team Over the past several years, the capabilities of robotic systems have improved dramatically. For example, consider the task of wiping a table to clean a spill or brush away crumbs.

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AWS Machine Learning Blog

OCTOBER 5, 2023

Recently, Meta released Llama 2 for both researchers and commercial entities, adding to the list of other LLMs, including MosaicML MPT and Falcon. Recently, Meta released Llama 2 for both researchers and commercial entities, adding to the list of other LLMs, including MosaicML MPT and Falcon.

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IBM Journey to AI blog

APRIL 18, 2024

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence.

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Flipboard

APRIL 30, 2023

” Tech titans haven’t yet settled on the best basis for quantum computing: Amazon, Google and IBM use superconducting circuits in their hardware. .” ” Tech titans haven’t yet settled on the best basis for quantum computing: Amazon, Google and IBM use superconducting circuits in their hardware.

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AWS Machine Learning Blog

MARCH 12, 2024

Technical architectures need to be implemented in order to make sure that LLMs don’t expose sensitive information during inference. This post is co-written with Justin Miles, Liv d’Aliberti, and Joe Kovba from Leidos. This post is for educational purposes only and should not be used in production environments without additional controls.

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AWS Machine Learning Blog

APRIL 19, 2023

Sportradar is the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on Sportradar knowhow and technology to boost their business. We recently developed four more new models.

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AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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Kaggle

APRIL 21, 2020

The main theme of the lab is high performance computing with advanced architectures including GPUs. Let’s get a bit more technical Did any past research or previous competitions inform your approach? Let’s get a bit more technical Did any past research or previous competitions inform your approach? working on an OCR task.

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AWS Machine Learning Blog

AUGUST 2, 2023

It has applications in areas where data is multi-modal such as ecommerce, where data contains text in the form of metadata as well as images, or in healthcare, where data could contain MRIs or CT scans along with doctor’s notes and diagnoses, to name a few use cases. This helps us build more refined searches in the image search process.

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Hacker News

MARCH 12, 2024

We are sharing details on the hardware, network, storage, design, performance, and software that help us extract high throughput and reliability for various AI workloads. To lead in developing AI means leading investments in hardware infrastructure. Hardware infrastructure plays an important role in AI’s future.

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PyImageSearch

MARCH 30, 2023

This ML application is utilized in various industries, with substantial research conducted in the realm of online multiplayer games. This ML application is utilized in various industries, with substantial research conducted in the realm of online multiplayer games.

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AWS Machine Learning Blog

MARCH 20, 2023

In the context of deep learning, the predominant numerical format used for research and deployment has so far been 32-bit floating point, or FP32. However, the need for reduced bandwidth and compute requirements of deep learning models has driven research into using lower-precision numerical formats.

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Heartbeat

JANUARY 9, 2024

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). In particular, Large Language Model Operations, or LLMOps, is crucial to the successful deployment, upkeep, and optimization of these powerful models.

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IBM Journey to AI blog

MAY 26, 2023

Life sciences organizations are developing science/research/commercial clouds to automate mundane tasks associated with each of the areas, such as logging, monitoring, auditing, patching, and integration with an existing toolset, to name a few. In 2017, 94% of hospitals used electronic clinical data from their EHR.

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AWS Machine Learning Blog

AUGUST 1, 2023

Advertising agencies can use generative AI and text-to-image foundation models to create innovative ad creatives and content. In this post, we demonstrate how you can generate new images from existing base images using Amazon SageMaker , a fully managed service to build, train, and deploy ML models for at scale.

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ODSC - Open Data Science

JANUARY 29, 2024

Knowledge in these areas enables prompt engineers to understand the mechanics of language models and how to apply them effectively. The role of prompt engineer has attracted massive interest ever since Business Insider released an article last spring titled “ AI ‘Prompt Engineer Jobs: $375k Salary, No Tech Backgrund Required.”

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AWS Machine Learning Blog

FEBRUARY 20, 2024

The transparent and modular model architecture allows flexibility, because each component of the model can be swapped out as needed in the future. ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures.

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Hacker News

SEPTEMBER 24, 2021

Moore's Law and other improvements in computer hardware yielded a roughly 10-million-fold increase in the number of computations that a computer could do in a second. So when researchers returned to deep learning in the late 2000s, they wielded tools equal to the challenge.

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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.

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Snorkel AI

APRIL 25, 2023

This spans many different areas. Vijay Janapa Reddi, professor at Harvard University, gave a presentation entitled “DataPerf: Benchmarks for data” at Snorkel AI’s 2022 Future of Data-Centric AI conference. The following is a transcript of his presentation, lightly edited for readability. Thanks for everybody’s time and attention.

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Snorkel AI

APRIL 25, 2023

This spans many different areas. Vijay Janapa Reddi, professor at Harvard University, gave a presentation entitled “DataPerf: Benchmarks for data” at Snorkel AI’s 2022 Future of Data-Centric AI conference. The following is a transcript of his presentation, lightly edited for readability. Thanks for everybody’s time and attention.

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Heartbeat

DECEMBER 5, 2023

Although Nvidia is the choice of many companies and researchers when developing and selling the technology, I will also touch on the supply-demand imbalance. These improvements have enabled it to quickly become the hardware of choice for researchers working on artificial intelligence (AI) projects, such as LLMs.

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AWS Machine Learning Blog

MARCH 15, 2024

This approach can help heart stroke patients, doctors, and researchers with faster diagnosis, enriched decision-making, and more informed, inclusive research work on stroke-related health issues, using a cloud-native approach with AWS services for lightweight lift and straightforward adoption.

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The MLOps Blog

MARCH 23, 2023

Storing and running such a large model on a single device may be impractical for many use cases due to the hardware requirements. Models like for example ChatGPT, Gopher **(280B), GPT-3 (175B), Jurassic-1 (178B), and Megatron-Turing NLG (530B) are predominantly very large and often addressed as large language models or LLMs. Sure there is.

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Mlearning.ai

JANUARY 17, 2024

350x: Application Areas , Companies, Startups 3,000+: Prompts , Prompt Engineering, & Prompt Lists 250+: Hardware, Frameworks , Approaches, Tools, & Data 300+: Achievements, Impacts on Society , AI Regulation, & Outlook 20x: What is Generative AI? And it will change everything. Let us dive into the wild world of genAI.

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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.

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AWS Machine Learning Blog

AUGUST 16, 2023

This technology was one of the first of its kind, using NLP for more efficient and natural legal research. Thomson Reuters is highly focused on driving awareness and understanding of AI among colleagues in every team and every business area. A key milestone was the launch of Westlaw Is Natural (WIN) in 1992.

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Dataconomy

MAY 12, 2023

Distributed computing emerges as an architectural marvel, an emblem of technological prowess, driving innovation and paving the path toward a future where the potential of computation knows no bounds. So, what truly lies within the realm of distributed computing? What are the advantages of distributed computing?

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Google Research AI blog

MAY 26, 2023

Posted by Ken Caluwaerts and Atil Iscen, Research Scientists, Google Creating robots that exhibit robust and dynamic locomotion capabilities, similar to animals or humans, has been a long-standing goal in the robotics community. Researchers at Google have been pursuing agility for multiple years and across various form factors.

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Heartbeat

AUGUST 29, 2023

While integrating deep learning into software development can be difficult, it has made significant progress in several fields, including computer vision, natural language processing, and speech recognition. Deep learning models use artificial neural networks to learn from data.

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AssemblyAI

MARCH 7, 2023

Next, architectural modifications are made and task-specific datasets are used to fine-tune the LM in a supervised fashion, rendering it performant on the task in question. In recent years, significant efforts have been put into scaling LMs into Large Language Models (LLMs). Let's dive in!

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