Computer Vision, ML and Webinar - Artificial Intelligence Zone

This AI Paper Explores If Human Visual Perception can Help Computer Vision Models Outperform in Generalized Tasks

Marktechpost

OCTOBER 19, 2024

Human beings possess innate extraordinary perceptual judgments, and when computer vision models are aligned with them, model’s performance can be improved manifold. The alignment of vision models with visual perception makes them sensitive to these attributes and more human-like. Don’t Forget to join our 50k+ ML SubReddit.

Computer Vision

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ML Olympiad returns with over 20 challenges

AI News

APRIL 8, 2024

The popular ML Olympiad is back for its third round with over 20 community-hosted machine learning competitions on Kaggle. This year’s lineup includes challenges spanning areas like healthcare, sustainability, natural language processing (NLP), computer vision, and more.

ML

ML Machine Learning Big Data Natural Language Processing

Explosive growth in AI and ML fuels expertise demand

AI News

JULY 28, 2023

According to a recent report by Harnham , a leading data and analytics recruitment agency in the UK, the demand for ML engineering roles has been steadily rising over the past few years. Advancements in AI and ML are transforming the landscape and creating exciting new job opportunities.

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Webinars

Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

The New Frontier: A Guide to Monetizing AI Offerings

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Dont Let AI Pass You By: The New Era of Personalized Sales Coaching & Development

Improving the Accuracy of Generative AI Systems: A Structured Approach

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Google DeepMind Presents MoNE: A Novel Computer Vision Framework for the Adaptive Processing of Visual Tokens by Dynamically Allocating Computational Resources to Different Tokens

Marktechpost

AUGUST 1, 2024

Don’t Forget to join our 47k+ ML SubReddit Find Upcoming AI Webinars here The post Google DeepMind Presents MoNE: A Novel Computer Vision Framework for the Adaptive Processing of Visual Tokens by Dynamically Allocating Computational Resources to Different Tokens appeared first on MarkTechPost.

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Meta Presents Sapiens: Foundation for Human Vision Models

Marktechpost

AUGUST 23, 2024

Large-scale pretraining followed by task-specific fine-tuning has revolutionized language modeling and is now transforming computer vision. The paper introduces a novel approach to human-centric computer vision through Sapiens, a family of vision transformer models.

Computer Vision

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This AI Paper from the Netherlands Introduce an AutoML Framework Designed to Synthesize End-to-End Multimodal Machine Learning ML Pipelines Efficiently

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

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MLPerf Inference v3.1 introduces new LLM and recommendation benchmarks

AI News

SEPTEMBER 12, 2023

It requires real engineering work and is a testament to our submitters’ commitment to AI, to their customers, and to ML.” are indicative of a wide range of accelerators being developed to serve ML workloads. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

LLM

LLM Big Data Computer Vision AI Chatbots

Meta AI Introduces Meta Segment Anything Model 2 (SAM 2): The First Unified Model for Segmenting Objects Across Images and Videos

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

Computer Vision Robotics ML AI

Google DeepMind Researchers Propose Human-Centric Alignment for Vision Models to Boost AI Generalization and Interpretation

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

Neural Network Computer Vision Deep Learning Artificial Intelligence

Evaluating Geometric Awareness in Large-Scale Vision Models for Long-Term Point Tracking

Marktechpost

SEPTEMBER 12, 2024

The strong generalization abilities of large-scale vision foundation models have contributed to their amazing performance in various computer vision tasks. These models are quite adaptable since they can handle a number of jobs without requiring a lot of task-specific training. This includes long-term point tracking.

Computer Vision

Computer Vision Robotics ML AI

Revolutionizing Image Classification: Training Large Convolutional Neural Networks on the ImageNet Dataset

Marktechpost

SEPTEMBER 24, 2024

The success of this model reflects a broader shift in computer vision towards machine learning approaches that leverage large datasets and computational power. This breakthrough marks a paradigm shift in object recognition, paving the way for more powerful and data-driven models in computer vision.

Convolutional Neural Networks

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Microsoft and Paige Researchers Developed Virchow2 and Virchow2G: Second-Generation Foundation Models for Computational Pathology

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

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AdvDGMs: Enhancing Adversarial Robustness in Tabular Machine Learning by Incorporating Constraint Repair Layers for Realistic and Domain-Specific Attack Generation

Marktechpost

SEPTEMBER 25, 2024

Adversarial machine learning is a growing field that focuses on testing and enhancing the resilience of machine learning (ML) systems through adversarial examples. Deep generative models (DGMs) have shown significant promise in generating such adversarial examples, especially in computer vision, where visual data tests model robustness.

Machine Learning

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This AI Paper by NVIDIA Introduces NVLM 1.0: A Family of Multimodal Large Language Models with Improved Text and Image Processing Capabilities

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

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The Kolmogorov-Arnold Theorem Revisited: Why Averaging Functions Work Better

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

Machine Learning Computer Vision Categorization ML

Wolf: A Mixture-of-Experts Video Captioning Framework that Outperforms GPT-4V and Gemini-Pro-1.5 in General Scenes, Autonomous Driving, and Robotics Videos

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

Robotics Natural Language Processing Computer Vision Large Language Models

Microsoft Releases GRIN MoE: A Gradient-Informed Mixture of Experts MoE Model for Efficient and Scalable Deep Learning

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

Deep Learning Natural Language Processing Computer Vision AI Researcher

MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost

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

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NiNo: A Novel Machine Learning Approach to Accelerate Neural Network Training through Neuron Interaction and Nowcasting

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

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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

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

Natural Language Processing Automation Generative AI Machine Learning

FlashSigmoid: A Hardware-Aware and Memory-Efficient Implementation of Sigmoid Attention Yielding a 17% Inference Kernel Speed-Up over FlashAttention-2 on H100 GPUs

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

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LightOn Released FC-AMF-OCR Dataset: A 9.3 Million Images Dataset of Financial Documents with Full OCR Annotations

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

Machine Learning Computer Vision Artificial Intelligence Artificial Intelligence

MLPs vs KANs: Evaluating Performance in Machine Learning, Computer Vision, NLP, and Symbolic Tasks

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. If you like our work, you will love our newsletter.

Computer Vision

Computer Vision Machine Learning NLP Neural Network

gsplat: An Open-Source Python Library for Gaussian Splatting

Marktechpost

SEPTEMBER 14, 2024

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 gsplat: An Open-Source Python Library for Gaussian Splatting appeared first on MarkTechPost. If you like our work, you will love our newsletter.

Python

Python ML AI AI

Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK

AWS Machine Learning Blog

AUGUST 28, 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. He specializes in building AI/ML solutions using Amazon SageMaker. He specializes in generative AI, machine learning, and system design.

Data Ingestion

Data Ingestion Natural Language Processing Machine Learning Generative AI

Researchers at Stanford University Propose Locality Alignment: A New Post-Training Stage for Vision Transformers ViTs

Marktechpost

OCTOBER 17, 2024

Don’t Forget to join our 50k+ ML SubReddit. Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Researchers at Stanford University Propose Locality Alignment: A New Post-Training Stage for Vision Transformers ViTs appeared first on MarkTechPost.

Inference Engine

Inference Engine ML Computer Vision Artificial Intelligence

Scaling Diffusion transformers (DiT): An AI Framework for Optimizing Text-to-Image Models Across Compute Budgets

Marktechpost

OCTOBER 19, 2024

Don’t Forget to join our 50k+ ML SubReddit. Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Scaling Diffusion transformers (DiT): An AI Framework for Optimizing Text-to-Image Models Across Compute Budgets appeared first on MarkTechPost.

Inference Engine

Inference Engine Large Language Models Artificial Intelligence Artificial Intelligence

Discover Best AI and Machine Learning Courses For Your Career

Pickl AI

JULY 10, 2024

Machine Learning (ML) is a subset of AI that involves using statistical techniques to enable machines to improve their performance on tasks through experience. On the other hand, ML focuses specifically on developing algorithms that allow machines to learn and make predictions or decisions based on data.

Machine Learning

Machine Learning Neural Network Deep Learning NLP

What if Facial Videos Could Measure Your Heart Rate? This AI Paper Unveils PhysMamba and Its Efficient Remote Physiological Solution

Marktechpost

SEPTEMBER 24, 2024

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 What if Facial Videos Could Measure Your Heart Rate? Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Convolutional Neural Networks

Convolutional Neural Networks Neural Network AI AI

DaCapo: An Open-Sourced Deep Learning Framework to Expedite the Training of Existing Machine Learning Approaches on Large and Near-Isotropic Image Data

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

Deep Learning Machine Learning Neural Network Large Language Models

MedUnA: Efficient Medical Image Classification through Unsupervised Adaptation of Vision-Language Models

Marktechpost

SEPTEMBER 12, 2024

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 MedUnA: Efficient Medical Image Classification through Unsupervised Adaptation of Vision-Language Models appeared first on MarkTechPost.

Auto-classification

Auto-classification LLM ML AI

VideoLLaMA 2 Released: A Set of Video Large Language Models Designed to Advance Multimodal Research in the Arena of Video-Language Modeling

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

Large Language Models LLM Data Integration ML

ClimDetect: A New Benchmark Dataset for Testing AI Models in Detecting Climate Change Signals

Marktechpost

SEPTEMBER 14, 2024

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 ClimDetect: A New Benchmark Dataset for Testing AI Models in Detecting Climate Change Signals appeared first on MarkTechPost. If you like our work, you will love our newsletter.

AI Modeling

AI Modeling Machine Learning Deep Learning AI

Google DeepMind Researchers Propose a Dynamic Visual Memory for Flexible Image Classification

Marktechpost

AUGUST 18, 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

Deep Learning Neural Network Large Language Models Continuous Learning

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

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

Machine Learning Computer Vision Generative AI Explainability

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

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

Machine Learning Metadata Generative AI ML

ByteDance Researchers Release InfiMM-WebMath-40: An Open Multimodal Dataset Designed for Complex Mathematical Reasoning

Marktechpost

SEPTEMBER 21, 2024

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 ByteDance Researchers Release InfiMM-WebMath-40: An Open Multimodal Dataset Designed for Complex Mathematical Reasoning appeared first on MarkTechPost.

Large Language Models

Large Language Models Artificial Intelligence Artificial Intelligence ML

ProcTag: A Data-Oriented AI Method that Assesses the Efficacy of Document Instruction Data

Marktechpost

JULY 23, 2024

Don’t Forget to join our 46k+ ML SubReddit Find Upcoming AI Webinars here The post ProcTag: A Data-Oriented AI Method that Assesses the Efficacy of Document Instruction Data appeared first on MarkTechPost. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models

Large Language Models AI AI Data Quality

Revolutionising Visual-Language Understanding: VILA 2’s Self-Augmentation and Specialist Knowledge Integration

Marktechpost

JULY 26, 2024

Don’t Forget to join our 47k+ ML SubReddit Find Upcoming AI Webinars here The post Revolutionising Visual-Language Understanding: VILA 2’s Self-Augmentation and Specialist Knowledge Integration appeared first on MarkTechPost. Also, don’t forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.

Large Language Models

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Efficient and Robust Controllable Generation: ControlNeXt Revolutionizes Image and Video Creation

Marktechpost

AUGUST 17, 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.

ML

ML AI AI Computer Vision

Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

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

Auto-complete Chatbots Generative AI Software Development

Character Detection Matching (CDM): A Novel Evaluation Metric for Formula Recognition

Marktechpost

SEPTEMBER 13, 2024

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 Character Detection Matching (CDM): A Novel Evaluation Metric for Formula Recognition appeared first on MarkTechPost. If you like our work, you will love our Newsletter.

Deep Learning

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Img-Diff: A Novel Dataset for Enhancing Multimodal Language Models through Contrastive Learning and Image Difference Analysis

Marktechpost

AUGUST 12, 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.

ML

ML AI AI Computer Vision

Meissonic: A Non-Autoregressive Mask Image Modeling Text-to-Image Synthesis Model that can Generate High-Resolution Images

Marktechpost

OCTOBER 16, 2024

Don’t Forget to join our 50k+ ML SubReddit. Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post Meissonic: A Non-Autoregressive Mask Image Modeling Text-to-Image Synthesis Model that can Generate High-Resolution Images appeared first on MarkTechPost.

Inference Engine

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This AI Paper Explores If Human Visual Perception can Help Computer Vision Models Outperform in Generalized Tasks

ML Olympiad returns with over 20 challenges

Webinars

Trending Sources

Explosive growth in AI and ML fuels expertise demand

Webinars

Google DeepMind Presents MoNE: A Novel Computer Vision Framework for the Adaptive Processing of Visual Tokens by Dynamically Allocating Computational Resources to Different Tokens

Meta Presents Sapiens: Foundation for Human Vision Models

This AI Paper from the Netherlands Introduce an AutoML Framework Designed to Synthesize End-to-End Multimodal Machine Learning ML Pipelines Efficiently

MLPerf Inference v3.1 introduces new LLM and recommendation benchmarks

Meta AI Introduces Meta Segment Anything Model 2 (SAM 2): The First Unified Model for Segmenting Objects Across Images and Videos

Google DeepMind Researchers Propose Human-Centric Alignment for Vision Models to Boost AI Generalization and Interpretation

Evaluating Geometric Awareness in Large-Scale Vision Models for Long-Term Point Tracking

Revolutionizing Image Classification: Training Large Convolutional Neural Networks on the ImageNet Dataset

Microsoft and Paige Researchers Developed Virchow2 and Virchow2G: Second-Generation Foundation Models for Computational Pathology

AdvDGMs: Enhancing Adversarial Robustness in Tabular Machine Learning by Incorporating Constraint Repair Layers for Realistic and Domain-Specific Attack Generation

This AI Paper by NVIDIA Introduces NVLM 1.0: A Family of Multimodal Large Language Models with Improved Text and Image Processing Capabilities

The Kolmogorov-Arnold Theorem Revisited: Why Averaging Functions Work Better

Wolf: A Mixture-of-Experts Video Captioning Framework that Outperforms GPT-4V and Gemini-Pro-1.5 in General Scenes, Autonomous Driving, and Robotics Videos

Microsoft Releases GRIN MoE: A Gradient-Informed Mixture of Experts MoE Model for Efficient and Scalable Deep Learning

MEGA-Bench: A Comprehensive AI Benchmark that Scales Multimodal Evaluation to Over 500 Real-World Tasks at a Manageable Inference Cost

NiNo: A Novel Machine Learning Approach to Accelerate Neural Network Training through Neuron Interaction and Nowcasting

Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

FlashSigmoid: A Hardware-Aware and Memory-Efficient Implementation of Sigmoid Attention Yielding a 17% Inference Kernel Speed-Up over FlashAttention-2 on H100 GPUs

LightOn Released FC-AMF-OCR Dataset: A 9.3 Million Images Dataset of Financial Documents with Full OCR Annotations

MLPs vs KANs: Evaluating Performance in Machine Learning, Computer Vision, NLP, and Symbolic Tasks

gsplat: An Open-Source Python Library for Gaussian Splatting

Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and the AWS CDK

Researchers at Stanford University Propose Locality Alignment: A New Post-Training Stage for Vision Transformers ViTs

Scaling Diffusion transformers (DiT): An AI Framework for Optimizing Text-to-Image Models Across Compute Budgets

Discover Best AI and Machine Learning Courses For Your Career

What if Facial Videos Could Measure Your Heart Rate? This AI Paper Unveils PhysMamba and Its Efficient Remote Physiological Solution

DaCapo: An Open-Sourced Deep Learning Framework to Expedite the Training of Existing Machine Learning Approaches on Large and Near-Isotropic Image Data

MedUnA: Efficient Medical Image Classification through Unsupervised Adaptation of Vision-Language Models

VideoLLaMA 2 Released: A Set of Video Large Language Models Designed to Advance Multimodal Research in the Arena of Video-Language Modeling

ClimDetect: A New Benchmark Dataset for Testing AI Models in Detecting Climate Change Signals

Google DeepMind Researchers Propose a Dynamic Visual Memory for Flexible Image Classification

Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

ByteDance Researchers Release InfiMM-WebMath-40: An Open Multimodal Dataset Designed for Complex Mathematical Reasoning

ProcTag: A Data-Oriented AI Method that Assesses the Efficacy of Document Instruction Data

Revolutionising Visual-Language Understanding: VILA 2’s Self-Augmentation and Specialist Knowledge Integration

Efficient and Robust Controllable Generation: ControlNeXt Revolutionizes Image and Video Creation

Build a self-service digital assistant using Amazon Lex and Knowledge Bases for Amazon Bedrock

Character Detection Matching (CDM): A Novel Evaluation Metric for Formula Recognition

Img-Diff: A Novel Dataset for Enhancing Multimodal Language Models through Contrastive Learning and Image Difference Analysis

Meissonic: A Non-Autoregressive Mask Image Modeling Text-to-Image Synthesis Model that can Generate High-Resolution Images

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