Flipboard

JULY 10, 2023

Figure 4: Architecture of fully connected autoencoders (source: Amor, “Comprehensive introduction to Autoencoders,” ML Cheat Sheet , 2021 ). time series or natural language processing tasks). This model was created by researchers from the University of Cambridge’s Computer Vision Group.

Computer Vision 132

Computer Vision Deep Learning Neural Network Machine Learning 132

Sebastian Ruder

JANUARY 24, 2022

2021) 2021 saw many exciting advances in machine learning (ML) and natural language processing (NLP).   2021 saw the continuation of the development of ever larger pre-trained models. 2021 saw the development of alternative model architectures that are viable alternatives to the transformer.

NLP 52

NLP ML BERT Computational Linguistics 52

Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Machine learning The 6 key trends you need to know in 2021 ? Case-studies from real-life business scenarios and advice you can act on.

Data Science 52

Data Science Data Scientist Machine Learning Automation 52

Viso.ai

OCTOBER 9, 2024

AI emotion recognition is a very active current field of computer vision research that involves facial emotion detection and the automatic assessment of sentiment from visual data and text analysis. provides the end-to-end computer vision platform Viso Suite. About us: Viso.ai

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Emotion AI 98

Applied Data Science

JANUARY 4, 2022

Hiding your 2021 resolution list under a glass of champagne? To write this post we shook the internet upside down for industry news and research breakthroughs and settled on the following 5 themes, to wrap up 2021 in a neat bow: ? In 2021, the following were added to the ever growing list of Transformer applications.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Deep Learning 52

AWS Machine Learning Blog

MARCH 1, 2024

pdf" } }, "score": 0.6389407 }, { "content": { "text": "Property and equipment, net by segment is as follows (in millions): December 31, 2021 2022 2023 North America $ 83,640 $ 90,076 $ 93,632 International 21,718 23,347 24,357 AWS 43,245 60,324 72,701 Corporate 1." }, "location": { "type": "S3", "s3Location": { "uri": "s3:// /amazon-10k-2023.pdf"

Machine Learning 137

Machine Learning Chatbots Generative AI Natural Language Processing 137

Viso.ai

DECEMBER 10, 2023

This article will cover image recognition, an application of Artificial Intelligence (AI), and computer vision. Image recognition with deep learning is a key application of AI vision and is used to power a wide range of real-world use cases today. Get a personalized demo. link] What is Image Recognition?

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

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. The Most Important Large Language Models (LLMs) in 2023 1. Its design allowed the model to consider the context from both the left and the right sides of each word.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

NVIDIA Developer

MAY 21, 2021

Thursday, June 10, 2021 - 09:00 Indian/Maldives Speakers Pallab Maji Senior Solutions Architect - Deep Learning at NVIDIA NVIDIA Pallab is fascinated with artificial intelligence and works on machine learning for computer vision and natural language processing.

Deep Learning 40

Deep Learning Natural Language Processing Computer Vision Artificial Intelligence 40

Snorkel AI

MARCH 1, 2023

This process results in generalized models capable of a wide variety of tasks, such as image classification, natural language processing, and question-answering, with remarkable accuracy. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Devlin et al.

BERT 83

BERT Natural Language Processing Large Language Models Neural Network 83

Viso.ai

FEBRUARY 25, 2023

Vision Transformer (ViT) have recently emerged as a competitive alternative to Convolutional Neural Networks (CNNs) that are currently state-of-the-art in different image recognition computer vision tasks. ViT models outperform the current state-of-the-art (CNN) by almost x4 in terms of computational efficiency and accuracy.

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

AWS Machine Learning Blog

FEBRUARY 19, 2024

Amazon’s revenue in 2021 was $469.8 Mani Khanuja is a Tech Lead – Generative AI Specialists, author of the book Applied Machine Learning and High Performance Computing on AWS, and a member of the Board of Directors for Women in Manufacturing Education Foundation Board. Tell me again what was the revenue in 2019?

Chatbots 125

Chatbots Data Ingestion Machine Learning Generative AI 125

AWS Machine Learning Blog

SEPTEMBER 12, 2024

user {query} assistant """ PROMPT = PromptTemplate( template=prompt_template, input_variables=["query"] ) query = "How did AWS perform in 2021?" By seamlessly integrating these components, we enabled high-quality, context-specific response generation, enhancing the Llama 3 model’s performance across natural language processing tasks.

LLM 135

LLM Generative AI Metadata Python 135

Heartbeat

JULY 6, 2023

The process of locating and identifying objects of interest in an image or video is part of the object detection method, a popular computer vision technique. The Swin Transformer is a deep learning model architecture that uses a hierarchical approach to perform object recognition in computer vision.

Computer Vision 59

Computer Vision Convolutional Neural Networks Deep Learning Neural Network 59

AWS Machine Learning Blog

FEBRUARY 10, 2023

Quantitative evaluation We utilize 2018–2020 season data for model training and validation, and 2021 season data for model evaluation. Computer Vision with NFL Player Tracking Data using torch for R: Coverage classification Using CNNs.” In Proceedings of the IEEE international conference on computer vision , pp.

Computer Vision 88

Computer Vision Machine Learning ML Convolutional Neural Networks 88

Sebastian Ruder

NOVEMBER 14, 2022

Developing models that work for more languages is important in order to offset the existing language divide and to ensure that speakers of non-English languages are not left behind, among many other reasons. Bender [2] highlighted the need for language independence in 2011. 10 years on, little thus seems to have changed.

Natural Language Processing 52

Natural Language Processing NLP Computational Linguistics BERT 52

AWS Machine Learning Blog

JUNE 1, 2023

Since its introduction in 2021, ByteTrack remains to be one of best performing methods on various benchmark datasets, among the latest model developments in MOT application. He is passionate about computer vision, NLP, Generative AI and MLOps. About the Authors Gordon Wang , is a Senior AI/ML Specialist TAM at AWS.

Auto-complete 104

Auto-complete Machine Learning Algorithm ML 104

NVIDIA Developer

MAY 21, 2021

Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software. In this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing.

Deep Learning 40

Deep Learning Natural Language Processing Computer Vision Neural Network 40

NVIDIA Developer

MAY 20, 2021

Chung , posted May 21 2021 at 12:03AM Businesses worldwide are using artificial intelligence to solve their greatest challenges. Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software.

Natural Language Processing 40

Natural Language Processing Deep Learning Neural Network NLP 40

Snorkel AI

MAY 4, 2023

Large Language Models (LLMs) such as GPT-4 and LLaMA have revolutionized natural language processing and understanding, enabling a wide range of applications, from conversational AI to advanced text generation. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

Snorkel AI

MAY 4, 2023

Large Language Models (LLMs) such as GPT-4 and LLaMA have revolutionized natural language processing and understanding, enabling a wide range of applications, from conversational AI to advanced text generation. Enterprise use cases: predictive AI, generative AI, NLP, computer vision, conversational AI.

Computer Vision 52

Computer Vision Large Language Models AI AI 52

Mlearning.ai

JUNE 6, 2023

Unlike the task of assigning class labels to images (image classification), image captioning combines two distinct modalities, namely images and texts used in computer vision and natural language processing (NLP) respectively. Figure 1: Bref overview of the image captioning architecture. Image by the author.

Computer Vision 52

Computer Vision Natural Language Processing NLP Explainability 52

Viso.ai

JUNE 12, 2024

provides a robust end-to-end computer vision infrastructure – Viso Suite. Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. About us : Viso.ai Get a demo here. without supervised pre-training.

Large Language Models 52

Large Language Models ChatGPT Computer Vision Neural Network 52

Pickl AI

JANUARY 29, 2024

AI comprises Natural Language Processing, computer vision, and robotics. Skills Proficiency in programming languages (Python, R), statistical analysis, and domain expertise are crucial. Requires a blend of computer science, mathematics, and domain-specific knowledge, often involving complex algorithms.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

Sebastian Ruder

FEBRUARY 24, 2021

Fine-tuning a pre-trained language model (LM) has become the de facto standard for doing transfer learning in natural language processing. 2018 ) while pre-trained language models are favoured over models trained on translation ( McCann et al., 2018 ), natural language inference ( Conneau et al.,

Natural Language Processing 52

Natural Language Processing BERT NLP Computer Vision 52

PyImageSearch

SEPTEMBER 23, 2024

Brief Overview of Vision Transformers Vision Transformers (ViTs) have emerged as a transformative architecture in the domain of computer vision, introduced by Dosovitskiy et al. in 2021 in their paper titled “ An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale.” That’s not the case.

Deep Learning 60

Deep Learning Python Computer Vision Software Development 60

Viso.ai

JANUARY 16, 2024

The ANN utilizes a pair of music files, each with a natural language description, such as ‘happy’ or ‘sad.’ ’ It uses natural language processing (NLP) for the descriptions, allowing the ANN to develop a semantic understanding. Book a demo today to learn more.

Neural Network 52

Neural Network Computer Vision Categorization Algorithm 52

Mlearning.ai

MARCH 9, 2023

In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. Journal of Healthcare Engineering, 2021. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp.

Computer Vision 52

Computer Vision Deep Learning Machine Learning Algorithm 52

Pickl AI

FEBRUARY 2, 2023

Technologies like computer vision will bring near real-time intelligence to even brick-mortar stores. The global AI in retail is expected to swell from under $5 billion in 2021 to more than $31 billion by 2028. Therefore, the application of artificial intelligence in the retail industry is rapidly increasing.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Natural Language Processing 52

Viso.ai

MAY 1, 2024

Deep learning and Convolutional Neural Networks (CNNs) have enabled speech understanding and computer vision on our phones, cars, and homes. Natural Language Processing (NLP) and knowledge representation and reasoning have empowered the machines to perform meaningful web searches. Brooks et al.

Robotics 52

Robotics Convolutional Neural Networks Computer Vision Deep Learning 52

Sebastian Ruder

JANUARY 19, 2021

The selection of areas and methods is heavily influenced by my own interests; the selected topics are biased towards representation and transfer learning and towards natural language processing (NLP). 8) Image Transformers The Vision Transformer ( Dosovitskiy et al., 2018 ; Hahn et al., The Bitter Lesson ).

NLP 52

NLP ML Computer Vision Natural Language Processing 52

Bugra Akyildiz

NOVEMBER 17, 2024

This uses advanced computer vision techniques, specifically a Vision Transformer model, to analyze and organize photos of properties. Vision Transformers(ViT) ViT is a type of machine learning model that applies the transformer architecture, originally developed for natural language processing, to image recognition tasks.

Convolutional Neural Networks 52

Convolutional Neural Networks Metadata Python Computer Vision 52

Topbots

JULY 6, 2023

In the rapidly evolving field of artificial intelligence, natural language processing has become a focal point for researchers and developers alike. Inspired by Su et al (2021) , they eliminated the absolute positional embeddings and instead, incorporated rotary positional embeddings (RoPE) at every layer of the network.

LLM 52

LLM Large Language Models Natural Language Processing OpenAI 52

Pickl AI

NOVEMBER 5, 2024

Bureau of Labor Statistics predicts that employment for Data Scientists will grow by 36% from 2021 to 2031 , making it one of the fastest-growing professions. AI encompasses various subfields, including Machine Learning (ML), Natural Language Processing (NLP), robotics, and computer vision.

Data Science 52

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 52

DataRobot Blog

MARCH 9, 2022

The company was acquired by DataRobot in 2021. This is one of the reasons why detecting sentiment from natural language (NLP or natural language processing ) is a surprisingly complex task. This article was originally published at Algorithimia’s website. Find out more about DataRobot MLOps here.

Machine Learning 52

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 52

AWS Machine Learning Blog

AUGUST 15, 2023

According to a study, by 2021, videos already make up 81% of all consumer internet traffic. This observation comes as no surprise because video and audio are powerful mediums offering more immersive experiences and naturally engages target audiences on a higher emotional level. In his spare time, he loves running and hiking.

Chatbots 93

Chatbots Metadata LLM Generative AI 93

Topbots

JANUARY 30, 2023

400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. In the last couple of years, Large Language Models (LLMs) such as ChatGPT, T5 and LaMDA have developed amazing skills to produce human language. We’ll let you know when we release more summary articles like this one.

Large Language Models 52

Large Language Models Computational Linguistics LLM Natural Language Processing 52