Marktechpost

JULY 24, 2024

Addressing this challenge, researchers from Eindhoven University of Technology have introduced a novel method that leverages the power of pre-trained Transformer models, a proven success in various domains such as Computer Vision and Natural Language Processing. If you like our work, you will love our newsletter.

Machine Learning 109

Machine Learning ML Natural Language Processing Computer Vision 109

AWS Machine Learning Blog

MARCH 20, 2025

It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats. He leads machine learning initiatives and projects across business domains, leveraging multimodal AI, generative models, computer vision, and natural language processing.

Automation 108

Automation IDP Generative AI Prompt Engineering 108

Marktechpost

DECEMBER 8, 2024

Dont Forget to join our 60k+ ML SubReddit. Must Attend Webinar]: Transform proofs-of-concept into production-ready AI applications and agents (Promoted) The post The Power of Active Data Curation in Multimodal Knowledge Distillation appeared first on MarkTechPost. If you like our work, you will love our newsletter.

ML 80

ML AI Modeling AI AI 80

AWS Machine Learning Blog

OCTOBER 29, 2024

With a strong background in AI/ML, Ishan specializes in building Generative AI solutions that drive business value. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. Yanyan graduated from Texas A&M University with a PhD in Electrical Engineering.

Generative AI 107

Generative AI Metadata Data Scientist AI 107

Marktechpost

JULY 31, 2024

In data annotation, SAM 2 can expedite the labeling of visual data, thereby improving the training of future computer vision systems. By sharing SAM 2 with the global AI community, Meta fosters innovation and collaboration, paving the way for future breakthroughs in computer vision technology. "Up

Computer Vision 104

Computer Vision ML Robotics AI 104

Marktechpost

AUGUST 12, 2024

Visual Simultaneous Localization and Mapping (SLAM) is a critical technology in robotics and computer vision that allows real-time state estimation for various applications. Although it needs a GPU and only offers sparse 3D reconstruction, its overall performance and efficiency make it valuable for the computer vision field.

Artificial Intelligence 102

Artificial Intelligence Artificial Intelligence Computer Vision Deep Learning 102

AWS Machine Learning Blog

OCTOBER 23, 2024

Mani Khanuja is a Tech Lead – Generative AI Specialist, 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. In her free time, she likes to go for long runs along the beach.

Data Ingestion 92

Data Ingestion Natural Language Processing Generative AI Conversational AI 92

TheSequence

AUGUST 27, 2023

📺 Webinar: Create better features for your ML models Getting high-quality data and transforming them into features for your machine learning models is one of the biggest challenges in ML. Llama 2 and Code Llama have been incredibly well received by the AI community. Could an 'Image Llama' be next?

Python 98

Python LLM Generative AI Computer Vision 98

Marktechpost

JANUARY 13, 2025

Source: [link] AI encompasses several subfields, including: Machine Learning (ML): Algorithms that learn from data to improve their performance over time. Computer Vision: Systems that analyze and interpret visual data. Dont Forget to join our 65k+ ML SubReddit.

Artificial Intelligence 82

Artificial Intelligence Artificial Intelligence Neural Network Natural Language Processing 82

Marktechpost

AUGUST 13, 2024

Newer research, however, aims to decipher regular WSIs for previously unknown outcomes like prediction and therapy response because of the remarkable performance advances in computer vision, an area of artificial intelligence centered around images. If you like our work, you will love our newsletter.

Computer Vision 109

Computer Vision Artificial Intelligence Artificial Intelligence Algorithm 109

Marktechpost

SEPTEMBER 16, 2024

Deep learning has made significant strides in artificial intelligence, particularly in natural language processing and computer vision. However, even the most advanced systems often fail in ways that humans would not, highlighting a critical gap between artificial and human intelligence.

Neural Network 109

Neural Network Computer Vision Deep Learning Artificial Intelligence 109

Marktechpost

AUGUST 4, 2024

Research has highlighted the potential of KANs in various fields, like computer vision, time series analysis, and quantum architecture search. Some studies show that KANs can outperform MLPs in data fitting and PDE tasks while using fewer parameters. If you like our work, you will love our newsletter.

Machine Learning 113

Machine Learning Computer Vision Categorization ML 113

Marktechpost

SEPTEMBER 20, 2024

Understanding and reasoning across multiple modalities is becoming crucial, especially as AI moves towards more sophisticated applications in areas like image recognition, natural language processing, and computer vision. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models 128

Large Language Models Natural Language Processing Computer Vision AI 128

AWS Machine Learning Blog

AUGUST 5, 2024

He has successfully delivered state-of-the-art AI/ML-powered solutions to solve complex business problems for diverse industries, optimizing efficiency and scalability. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Natural Language Processing 123

Natural Language Processing Automation Machine Learning Generative AI 123

Marktechpost

SEPTEMBER 11, 2024

Reconstructing high-fidelity surfaces from multi-view images, especially with sparse inputs, is a critical challenge in computer vision. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Computer Vision 104

Computer Vision Robotics AI Researcher AI Research 104

Marktechpost

AUGUST 3, 2024

Despite its importance, generating accurate, detailed, and descriptive video captions is challenging in fields like computer vision and natural language processing. Video captioning has become increasingly important for content understanding, retrieval, and training foundation models for video-related tasks.

Robotics 109

Robotics Natural Language Processing Computer Vision Large Language Models 109

AWS Machine Learning Blog

JANUARY 31, 2024

Embeddings play a key role in natural language processing (NLP) and machine learning (ML). This technique is achieved through the use of ML algorithms that enable the understanding of the meaning and context of data (semantic relationships) and the learning of complex relationships and patterns within the data (syntactic relationships).

Natural Language Processing 131

Natural Language Processing Machine Learning Computer Vision ML 131

Marktechpost

JANUARY 2, 2025

Despite such successes in natural language processing, computer vision, and other areas, their development often relies on heuristic approaches, limiting interpretability and scalability. Dont Forget to join our 60k+ ML SubReddit. Also,dont forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Natural Language Processing 84

Natural Language Processing Computer Vision LLM ML 84

Marktechpost

JANUARY 7, 2025

Advancements in neural networks have brought significant changes across domains like natural language processing, computer vision, and scientific computing. Despite these successes, the computational cost of training such models remains a key challenge. Dont Forget to join our 60k+ ML SubReddit.

Neural Network 87

Neural Network Natural Language Processing Computer Vision LLM 87

Marktechpost

JULY 23, 2024

Efficient traffic management has been improved with advancements in computer vision, enabling accurate prediction and analysis of traffic volumes. Still, it faces challenges in real-world applications due to limited publicly available data and the labor-intensive process of manual annotation.

Neural Network 101

Neural Network Computer Vision ML AI 101

Marktechpost

SEPTEMBER 21, 2024

These models have revolutionized natural language processing, computer vision, and data analytics but have significant computational challenges. Specifically, as models grow larger, they require vast computational resources to process immense datasets. If you like our work, you will love our newsletter.

Deep Learning 120

Deep Learning Natural Language Processing Computer Vision AI Researcher 120

Marktechpost

SEPTEMBER 17, 2024

Although optimizers like Adam perform parameter updates iteratively to minimize errors gradually, the sheer size of models, especially in tasks like natural language processing (NLP) and computer vision, leads to long training cycles. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Neural Network 113

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 113

Marktechpost

NOVEMBER 5, 2024

Large language models (LLMs) have become the backbone of many AI systems, contributing significantly to advancements in natural language processing (NLP), computer vision, and even scientific research. Don’t Forget to join our 55k+ ML SubReddit. However, these models come with their own set of challenges.

Large Language Models 94

Large Language Models NLP Natural Language Processing Computer Vision 94

Marktechpost

JANUARY 8, 2025

Unlike their counterparts in computer vision and natural language processing, which uses domain-specific priors to enhance performance, current transformer models for tabular data generation largely ignore these valuable inductive biases. Dont Forget to join our 60k+ ML SubReddit.

Natural Language Processing 80

Natural Language Processing Computer Vision Categorization LLM 80

Marktechpost

OCTOBER 15, 2024

Don’t Forget to join our 50k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Inference Engine 130

Inference Engine AI AI ML 130

AWS Machine Learning Blog

JUNE 27, 2023

When machine learning (ML) models are deployed into production and employed to drive business decisions, the challenge often lies in the operation and management of multiple models. They swiftly began to work on AI/ML capabilities by building image recognition models using Amazon SageMaker.

DevOps 114

DevOps ML Machine Learning ML Engineer 114

AWS Machine Learning Blog

FEBRUARY 29, 2024

About the Authors Mark Roy is a Principal Machine Learning Architect for AWS, helping customers design and build AI/ML solutions. Mark’s work covers a wide range of ML use cases, with a primary interest in computer vision, deep learning, and scaling ML across the enterprise. Nihir Chadderwala is a Sr.

Machine Learning 133

Machine Learning Computer Vision Generative AI Explainability 133

Marktechpost

AUGUST 13, 2024

Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Deep Learning 125

Deep Learning Machine Learning Neural Network Large Language Models 125

Marktechpost

SEPTEMBER 21, 2024

This dataset is a technical achievement and a cornerstone for future research in artificial intelligence (AI) and computer vision. Don’t Forget to join our 50k+ ML SubReddit FREE AI WEBINAR: ‘SAM 2 for Video: How to Fine-tune On Your Data’ (Wed, Sep 25, 4:00 AM – 4:45 AM EST) The post LightOn Released FC-AMF-OCR Dataset: A 9.3

Machine Learning 111

Machine Learning Computer Vision Artificial Intelligence Artificial Intelligence 111

AWS Machine Learning Blog

FEBRUARY 12, 2025

Machine learning (ML) engineers must make trade-offs and prioritize the most important factors for their specific use case and business requirements. He finds particular satisfaction in collaborating with customers to turn their ambitious technological visions into reality. Nitin Eusebius is a Sr.

Auto-classification 83

Auto-classification Metadata Generative AI Machine Learning 83

Marktechpost

AUGUST 11, 2024

A collaborative effort by ByteDance, NTU, CUHK, and HKUST has led to the development of LLaVA-OneVision, a significant advancement in large vision-and-language assistant (LLaVA) research. This system demonstrates how to construct a model that can understand and execute a wide range of computer vision tasks in real-world scenarios.

Computer Vision 117

Computer Vision LLM Natural Language Processing Large Language Models 117

AWS Machine Learning Blog

APRIL 23, 2024

She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI. She speaks at internal and external conferences such AWS re:Invent, Women in Manufacturing West, YouTube webinars, and GHC 23. In her free time, she likes to go for long runs along the beach.

Generative AI 125

Generative AI Automation Metadata Machine Learning 125

AWS Machine Learning Blog

APRIL 3, 2024

Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML). ML practitioners can perform all ML development steps—from preparing your data to building, training, and deploying ML models. Rupinder Grewal is a Senior AI/ML Specialist Solutions Architect with AWS.

Machine Learning 122

Machine Learning Metadata Generative AI ML 122

Marktechpost

OCTOBER 24, 2024

Don’t Forget to join our 55k+ ML SubReddit. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

AI Researcher 119

AI Researcher AI Research Inference Engine Large Language Models 119

AWS Machine Learning Blog

JULY 1, 2024

She helps key customer accounts on their data, generative AI and AI/ML journeys. She is passionate about data-driven AI and the area of depth in ML and generative AI. She leads machine learning projects in various domains such as computer vision, natural language processing, and generative AI.

Auto-complete 122

Auto-complete Chatbots Generative AI Software Development 122

Marktechpost

AUGUST 15, 2024

Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Large Language Models 117

Large Language Models LLM Data Integration ML 117

Marktechpost

SEPTEMBER 13, 2024

Extensive experiments conducted across various domains – including language processing, computer vision, and speech recognition – show that properly normalized sigmoid attention consistently matches the performance of softmax attention across diverse tasks and scales. If you like our work, you will love our newsletter.

Auto-classification 104

Auto-classification Neural Network Machine Learning Computer Vision 104