Analytics Vidhya

NOVEMBER 22, 2023

He shares insights from his journey, from comprehensive workshops shaping generative AI engineers to the transformative potential of combining computer vision and natural language processing (NLP). This Leading with Data Session unfolds the firsthand experiences of Sandeep Singh, Head of Applied AI at Beans.ai.

Computer Vision 317

Computer Vision Natural Language Processing NLP AI Engineer 317

Analytics Vidhya

DECEMBER 25, 2023

Combining the strengths of computer vision and Natural Language Processing (NLP), multimodal models open up new possibilities for machines to interact with the environment in a more human-like manner. Introduction Welcome to the fascinating world of Multimodal Models! In this […] The post What are Multimodal Models?

Natural Language Processing 320

Natural Language Processing Computer Vision NLP Data Science 320

Analytics Vidhya

NOVEMBER 19, 2019

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

Deep Learning 288

Deep Learning Natural Language Processing Computer Vision NLP 288

Marktechpost

AUGUST 3, 2024

The researchers control parameters and FLOPs for both network types, evaluating their performance across diverse domains, including symbolic formula representation, machine learning, computer vision, natural language processing, and audio processing. In class-incremental learning, KANs exhibited more severe forgetting issues than MLPs.

Computer Vision 122

Computer Vision Machine Learning NLP Neural Network 122

Unite.AI

OCTOBER 27, 2024

The framework specializes in media processing tasks like computer vision and audio analysis, offering high-performance solutions that run directly in web browsers. Natural Natural has established itself as a comprehensive NLP library for JavaScript, providing essential tools for text-based AI applications.

Neural Network 162

Neural Network Machine Learning NLP Natural Language Processing 162

Analytics Vidhya

AUGUST 25, 2021

Introduction In contrast to Computer Vision, where image data augmentation is common, text data augmentation in NLP is uncommon. Because of the semantically invariant transformation, augmentation has become an important tool in Computer […].

Python 283

Python Computer Vision NLP BERT 283

Unite.AI

OCTOBER 27, 2023

In this article, we will delve deeper into 3D computer vision and the Uni3D framework, exploring the essential concepts and the architecture of the model. Uni3D and 3D Representation Learning : An Introduction In the past few years, computer vision has emerged as one of the most heavily invested domains in the AI industry.

Computer Vision 264

Computer Vision NLP Natural Language Processing Large Language Models 264

Marktechpost

JUNE 21, 2024

Natural language processing (NLP) is a clear example of this tendency since more sophisticated models demonstrate adaptability by learning new tasks and domains from scratch with only basic instructions. The success of natural language processing inspires a similar strategy in computer vision.

Computer Vision 119

Computer Vision Natural Language Processing NLP ML 119

Unite.AI

DECEMBER 12, 2024

This includes developments in natural language processing (NLP) , computer vision , and machine learning that power current services like Bedrock and Q Business. The team is not starting from scratch but building upon foundation models and technologies already developed by Amazon's broader AI teams.

Natural Language Processing 162

Natural Language Processing Computer Vision AI AI 162

Marktechpost

NOVEMBER 22, 2023

Natural language processing (NLP) is a good example of this tendency since sophisticated models demonstrate flexibility with thorough knowledge covering several domains and tasks with straightforward instructions. The popularity of NLP encourages a complementary strategy in computer vision.

Computer Vision 133

Computer Vision Natural Language Processing NLP Large Language Models 133

Analytics Vidhya

SEPTEMBER 26, 2023

Introduction This article will look at a computer vision technique of Image Semantic Segmentation.

Computer Vision 337

Computer Vision NLP Python 337

Analytics Vidhya

MARCH 27, 2024

Vision Language models are the models that can process and understand both visual and language(textual input) data simultaneously. These models combine techniques from Computer Vision and Natural Language Processing to understand and generate text based on the image content and language instruction.

Computer Vision 304

Computer Vision Natural Language Processing NLP Python 304

Towards AI

DECEMBER 16, 2024

From breakthroughs in large language models to revolutionary approaches in computer vision and AI safety, the research community has outdone itself. Vision Mamba Summary: Vision Mamba introduces the application of state-space models (SSMs) to computer vision tasks. And lets be real what a year it has been!

AI Researcher 111

AI Researcher AI Research Computer Vision Neural Network 111

Unite.AI

NOVEMBER 5, 2024

The Ascend 910C delivers high computational power, consuming around 310 watts. The chip is designed for flexibility and scalability, enabling it to handle various AI workloads such as Natural Language Processing (NLP) , computer vision , and predictive analytics.

Deep Learning 189

Deep Learning AI AI Neural Network 189

Analytics Vidhya

DECEMBER 28, 2021

This article was published as a part of the Data Science Blogathon Photo by Hush Naidoo Jade Photography Pre-requisite: Basic understanding of Python, Deep Learning, Classification, and Computer Vision Deep learning is a subset of machine learning and has been applied in various fields to help solve existing problems.

Deep Learning 318

Deep Learning Computer Vision Machine Learning Data Science 318

Marktechpost

OCTOBER 25, 2024

Natural Language Processing (NLP) is a rapidly growing field that deals with the interaction between computers and human language. As NLP continues to advance, there is a growing need for skilled professionals to develop innovative solutions for various applications, such as chatbots, sentiment analysis, and machine translation.

Natural Language Processing 113

Natural Language Processing NLP Deep Learning Python 113

Unite.AI

DECEMBER 20, 2024

Built using the Transformer architecture, which has already proven successful in a range of Natural Language Processing (NLP) tasks, this model is prominent due to its use of the MoE model. The Capabilities of Hunyuan-Large Hunyuan-Large is a significant advancement in AI technology. Its applications are wide-ranging.

AI Modeling 130

AI Modeling Natural Language Processing Data Analysis NLP 130

Towards AI

JANUARY 31, 2025

Image by author When the first computer, Alan Turings machine, appeared in the 1940s, humans started to struggle in explaining how it encrypts and decrypts messages. Author(s): Chien Vu Originally published on Towards AI. Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project.

Deep Learning 95

Deep Learning Computer Vision Explainability NLP 95

Unite.AI

AUGUST 2, 2023

To overcome the challenge presented by single modality models & algorithms, Meta AI released the data2vec, an algorithm that uses the same learning methodology for either computer vision , NLP or speech. For computer vision, the model practices block-wise marking strategy.

Computer Vision 246

Computer Vision Natural Language Processing Algorithm Convolutional Neural Networks 246

Analytics Vidhya

AUGUST 5, 2022

Introduction Image caption generator is the most fascinating application I found while working with NLP. This article was published as a part of the Data Science Blogathon. It’s cool to train your system to label the images you feed to it. As interesting as it sounds, it is equally challenging to implement this application. It […].

NLP 381

NLP Data Science Computer Vision Deep Learning 381

Aiiot Talk

MAY 6, 2023

AI comprises numerous technologies like deep learning, machine learning, natural language processing, and computer vision. Natural Language Processing Another benefit of AI involves natural language processing (NLP) algorithms. This improvement has led to a significant advancement in medical diagnosis.

Natural Language Processing 246

Natural Language Processing Computer Vision Deep Learning Artificial Intelligence 246

IBM Journey to AI blog

FEBRUARY 14, 2024

Voice-based queries use natural language processing (NLP) and sentiment analysis for speech recognition so their conversations can begin immediately. With text to speech and NLP, AI can respond immediately to texted queries and instructions. Humanize HR AI can attract, develop and retain a skills-first workforce.

Computer Vision 247

Computer Vision NLP Robotics Automation 247

AI News

APRIL 8, 2024

This year’s lineup includes challenges spanning areas like healthcare, sustainability, natural language processing (NLP), computer vision, and more. Over the previous two rounds, an impressive 605 teams participated across 32 competitions, generating 105 discussions and 170 notebooks.

ML 318

ML Machine Learning Big Data Natural Language Processing 318

Analytics Vidhya

JULY 8, 2024

Introduction Meta AI (formerly Facebook AI) has introduced a revolutionary AI model called SAM (Segment Anything Model), representing a significant leap forward in computer vision and image segmentation technology. This article explores SAM’s features, capabilities, potential applications, and implications for various industries.

Computer Vision 223

Computer Vision AI Modeling AI AI 223

AI News

NOVEMBER 30, 2023

AI workloads today fall into four categories: computer vision, NLP, recommendation engines, and generative AI. Ampere Computing’s software and hardware combination caters seamlessly across all these workloads for sustainable AI deployments at scale.

Computer Vision 337

Computer Vision Big Data Artificial Intelligence Artificial Intelligence 337

Marktechpost

FEBRUARY 23, 2025

The benchmark, MLGym-Bench, includes 13 open-ended tasks spanning computer vision, NLP, RL, and game theory, requiring real-world research skills. This system, the first Gym environment for ML tasks, facilitates the study of RL techniques for training AI agents.

AI Researcher 93

AI Researcher AI Research Software Engineer AI 93

Unite.AI

JANUARY 22, 2025

Radiologists spend less time manually adjusting display protocols and study descriptions, as the system automatically normalizes imaging data using computer vision and natural language processing (NLP). The platform's standardization capabilities directly impact workflow efficiency and data value.

Automation 240

Automation AI AI Neural Network 240

IBM Journey to AI blog

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. What makes a good AI conversationalist?

Conversational AI 291

Conversational AI NLP Chatbots AI 291

Unite.AI

AUGUST 28, 2023

AI can receive and process a wide range of information thanks to a combination of sophisticated sensory devices and computer vision. An improved outcome is produced by enhancing the data with machine learning (ML) and natural language processing (NLP).

Computer Vision 244

Computer Vision Natural Language Processing Machine Learning AI 244

IBM Journey to AI blog

OCTOBER 12, 2023

Additional capabilities and practical applications of AI technologies Computer vision Narrow AI applications with computer vision can be trained to interpret and analyze the visual world. This allows intelligent machines to identify and classify objects within images and video footage.

Artificial Intelligence 209

Artificial Intelligence Artificial Intelligence Emotion AI Computer Vision 209

Towards AI

DECEMBER 26, 2024

But, all the rules of learning that apply to AI, machine learning, and NLP dont always apply to LLMs, especially if you are building something or looking for a high-paying job. Louis-Franois Bouchard, Towards AI Co-founder & Head of Community Learn AI Together Community section! AI poll of the week!

LLM 105

LLM Neural Network NLP Computer Vision 105

AWS Machine Learning Blog

MARCH 5, 2025

She also has a background in working on Natural Language processing (NLP) and a degree in psychology. Prior to AWS, he led research for new products at a computer vision unicorn and founded an early generative AI startup. His research interests include deep learning, computer vision, NLP, recommender systems, and generative AI.

Generative AI 113

Generative AI Machine Learning Data Scientist AI 113

IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

Machine Learning 230

Machine Learning Neural Network Algorithm Computer Vision 230

Pickl AI

JANUARY 29, 2025

Applications of Deep Learning Deep Learning has found applications across numerous domains: Computer Vision : Used in image classification, object detection, and facial recognition. By working on this project, you’ll learn about advanced topics in computer vision and how Deep Learning models can operate in real-time scenarios.

Deep Learning 52

Deep Learning Neural Network Natural Language Processing Computer Vision 52

AI Weekly

APRIL 11, 2024

And this is particularly true for accounts payable (AP) programs, where AI, coupled with advancements in deep learning, computer vision and natural language processing (NLP), is helping drive increased efficiency, accuracy and cost savings for businesses. Generative AI is igniting a new era of innovation within the back office.

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Data Drift 264

Marktechpost

MARCH 30, 2024

The most significant feature of PyTorch is its dynamic computational graph, which enables smooth changes and an instinctive coding style. PyTorch boasts a robust ecosystem with tools and libraries for computer vision, natural language processing, and more.

Deep Learning 123

Deep Learning Machine Learning Python Computer Vision 123

Marktechpost

NOVEMBER 29, 2024

The language models are capable of carrying out complex dialogues with reduced latency, while the vision models support various computer vision tasks, such as object detection and image captioning, in real-time. The GLM-Edge series has two primary focus areas: conversational AI and visual tasks. For example, the GLM-Edge-1.5B

AI Modeling 85

AI Modeling Large Language Models Conversational AI Computer Vision 85