Marktechpost

AUGUST 14, 2023

While AI-specific hardware has emerged, many designs separate memory and processing units, resulting in data shuffling and reduced efficiency. While AI-specific hardware has emerged, many designs separate memory and processing units, resulting in data shuffling and reduced efficiency.

Deep Learning 98

Deep Learning Neural Network AI AI 98

NVIDIA

MAY 12, 2024

NVIDIA unveiled at GTC in March the NVIDIA Blackwell platform , which promises generative AI on trillion-parameter large language models (LLMs) at up to 25x less cost and energy consumption than the NVIDIA Hopper architecture. Quantum computing. Drug discovery. Fusion energy. Many scientific computing applications already benefit.

Large Language Models 76

Large Language Models Algorithm LLM Data Science 76

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.

Neural Network 238

Neural Network LLM AI AI 238

Unite.AI

FEBRUARY 16, 2024

It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. Artificial Intelligence (AI) is everywhere. From smart assistants to self-driving cars , AI systems are transforming our lives and businesses. But what if there was an AI that could do more than perform specific tasks?

Neural Network 195

Neural Network Algorithm Machine Learning Natural Language Processing 195

Marktechpost

JULY 13, 2023

Due to their incredible logical reasoning and numerical analysis methods, researchers try to implement these biological neural network methods into the current artificial neural systems. Neural computation methods involve the RNN in dynamical systems and neural replicas of computer architectures in machine learning.

Neural Network 98

Neural Network Artificial Intelligence Artificial Intelligence AI Tools 98

TheSequence

OCTOBER 8, 2023

📝 Editorial: The Most Obvious Secret in AI: Every Tech Giant Will Build Its Own Chips NVIDIA reigns as the undisputed king of the AI hardware market, a trend that has propelled the company to nearly one trillion dollars in market capitalization. . We review the original PEFT paper and the Ray Train frameork.

Robotics 118

Robotics OpenAI AI AI 118

Google Research AI blog

JULY 11, 2023

Posted by Amir Yazdanbakhsh, Research Scientist, and Vijay Janapa Reddi, Visiting Researcher, Google Research Computer Architecture research has a long history of developing simulators and tools to evaluate and shape the design of computer systems. learning rate, warm-up steps, etc.).

Machine Learning 74

Machine Learning Algorithm ML 74

Unite.AI

DECEMBER 29, 2023

These models have excelled in areas such as translation, summarization, and question-answering, often outperforming earlier, smaller models. Researchers are increasingly turning their attention to smaller language models, which offer more efficient and versatile alternatives in certain scenarios. For example, a study by Turc et al.

Large Language Models 312

Large Language Models AI Researcher AI Research Artificial Intelligence 312

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.

Generative AI 52

Generative AI Responsible AI Data Science AI 52

NVIDIA

OCTOBER 23, 2023

He’s using them, along with deep learning, in a research project to automate the evaluation of urban buildings. But for rural areas or developing regions, where such images aren’t available or not frequently updated, governments can collect the images themselves. The collected images are placed in a data repository.

Deep Learning 117

Deep Learning Artificial Intelligence Artificial Intelligence AI Modeling 117

Marktechpost

JULY 14, 2023

Researchers from Mithril Security, a corporate security platform, discovered they could poison a typical LLM supply chain by uploading a modified LLM to Hugging Face. This exemplifies the current status of security analysis for LLM systems and highlights the pressing need for more study in this area.

LLM 98

LLM Large Language Models Algorithm AI 98

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

Neural Network 73

Neural Network OpenAI LLM Machine Learning 73

TheSequence

JANUARY 14, 2024

📝 Editorial: Would Generative AI Require New Hardware Platforms? 📝 Editorial: Would Generative AI Require New Hardware Platforms? TinyLlama Researchers from StatNLP Research Group, Singapore University adn others published a paper unveiling TinyLlama, a 1.1 You can subscribe below!

Generative AI 105

Generative AI LLM AI AI 105

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.

Robotics 94

Robotics ML Neural Network 94

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.

Neural Network 52

Neural Network Deep Learning Data Science Machine Learning 52

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.

NLP 88

NLP Auto-complete Natural Language Processing BERT 88

TheSequence

NOVEMBER 19, 2023

Let's keep it brief 😉 Long considered one of the most challenging areas for generative AI, video creation is quickly becoming a new frontier in the field. The volume and quality of research in generative video are swiftly increasing. Just this week, Meta and Google published new work in this area.

OpenAI 52

OpenAI Generative AI ML AI Tools 52

TheSequence

NOVEMBER 22, 2023

I started out as a researcher in computer architecture, focusing on CPU and memory systems architecture. I spent a decade as an academic (Computer Sciences professor at the University of Texas at Austin) co-leading a DARPA-funded research program there. Your background, current role and how did you get started in AI?

Neural Network 40

Neural Network Generative AI AI AI 40

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.

Computer Scientist 180

Computer Scientist Artificial Intelligence Artificial Intelligence 180

Unite.AI

FEBRUARY 9, 2024

Their mission is to streamline communication by allowing users to interact with AI through thought alone, bypassing conventional methods like typing or speaking. One of your proudest moments is when you dropped out of medical school, could you discuss this fork in the road, and when you realized entrepreneurship was your path?

Large Language Models 147

Large Language Models Machine Learning Computer Vision Robotics 147

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.

Machine Learning 97

Machine Learning Big Data Deep Learning Natural Language Processing 97

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.

Large Language Models 89

Large Language Models LLM Chatbots Natural Language Processing 89

Marktechpost

JUNE 19, 2023

Researchers from Google offer a set of modifications to the implementation of large diffusion models that allow for the fastest inference latency on mobile devices with GPUs to date. The widespread success and adoption of the Transformer design have sparked research into speeding up the attention mechanism.

Inference Engine 96

Inference Engine AI Tools ML AI 96

Topbots

APRIL 11, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. As a testament to the remarkable progress in this area, several groundbreaking language models have emerged in recent years, pushing the boundaries of what machines can understand and generate.

NLP 98

NLP Large Language Models BERT Natural Language Processing 98

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.

Automation 198

Automation Machine Learning Artificial Intelligence Artificial Intelligence 198

Marktechpost

JULY 2, 2023

Source: [link] Source: [link] Applications of FPGAs FPGAs are utilized in various industries and have diverse areas of implementation. Source: [link] Source: [link] Applications of FPGAs FPGAs are utilized in various industries and have diverse areas of implementation. Some of their primary areas of use include.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Deep Learning Computer Vision 52

TheSequence

JULY 12, 2023

I started my career in academia doing particle physics research on the Large Hadron Collider at CERN. 👤 Quick bio Tell us a bit about yourself: your background, current role, and how you got started in machine learning. I’m Emmanuel, CEO and founder of Sematic. TheSequence is a reader-supported publication. Reproducibility.

ML 97

ML Python Machine Learning Metadata 97

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.

ML 75

ML Deep Learning Python Auto-classification 75

TheSequence

MAY 24, 2023

Since then, I worked as a Machine Learning Engineer in both the open-source and research team working on projects such as Evaluate, TRL, CodeParrot and recently co-leading BigCode research collaboration. As the book came to an end Lewis and I joined Hugging Face. TheSequence is a reader-supported publication.

Auto-complete 59

Auto-complete ML Python Machine Learning 59

Bugra Akyildiz

MAY 12, 2024

The model architecture has mainly three components: An encoder LSTM that takes the past workout sequence and outputs the personalized latent representation z. The model architecture has mainly three components: An encoder LSTM that takes the past workout sequence and outputs the personalized latent representation z.

Neural Network 59

Neural Network Large Language Models Python Machine Learning 59

Unite.AI

MARCH 21, 2024

However, as these models grow in size, the computational requirements for training and inference become increasingly demanding, pushing against the limits of available hardware resources. In this technical blog, we'll delve into the world of MoE, exploring its origins, inner workings, and its applications in transformer-based language models.

Large Language Models 147

Large Language Models Neural Network Natural Language Processing LLM 147

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.

ML 97

ML Generative AI AI AI 97

Viso.ai

FEBRUARY 1, 2024

It provides researchers with a method to keep track of important changes during each iteration. Model Performance Metrics: Accuracy, precision, recall , F1 score, area under the ROC curve (AUC-ROC). Hardware Usage: CPU/GPU utilization, memory usage. How does it work? tutorials and examples) How to implement experiment logging?

Machine Learning 52

Machine Learning Metadata Computer Vision ML 52

Bugra Akyildiz

NOVEMBER 24, 2022

They have 3 areas that want to establish Broad coverage and recognition of incompleteness. They have 3 areas that want to establish Broad coverage and recognition of incompleteness. Contribute to michaelgutmann/ml-pen-and-paper-exercises development by creating an account on GitHub.","domain":"github.com"},"video_url":null,"belowTheFold":false}">

Deep Learning 52

Deep Learning Neural Network Machine Learning ML 52

Viso.ai

DECEMBER 19, 2023

Image classification applications are used in many areas, such as medical imaging, object identification in satellite images, traffic control systems, brake light detection, machine vision, and more. It’s a powerful all-in-one solution for AI vision. Get a demo for your company. We live in the era of data.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

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.

Automation 71

Automation Generative AI Metadata Data Scientist 71

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.

BERT 78

BERT Deep Learning ML Neural Network 78