Heartbeat

NOVEMBER 27, 2023

Fine-tuning, a process where pre-trained models are further trained on task-specific data, allows the model to adapt and refine its representations to the specific medical imaging domain. Interpretability and Explainability One challenge with deep learning models in medical image analysis is their black-box nature.

Deep Learning 59

Deep Learning Convolutional Neural Networks Neural Network Explainability 59

Viso.ai

JANUARY 2, 2024

Deep Dive: Convolutional Neural Network Algorithms for Specific Challenges CNNs, while powerful, face distinct challenges in their application, particularly in scenarios like data scarcity, overfitting, and unstructured data environments. Making CNN models more interpretable and explainable.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

Viso.ai

DECEMBER 18, 2023

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Viso.ai

DECEMBER 6, 2023

Synthetic data generation to help overcome data scarcity and privacy problems in computer vision. Future Directions Explainable AI: Explainable AI (XAI) is one research paradigm that can help you detect biases easily. Read our article about ethical challenges at OpenAI.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

Heartbeat

FEBRUARY 27, 2024

Among these are: Data Augmentation: Data augmentation is a viable solution to some problems that multilingual prompt engineering presents, especially in the context of limited linguistic resources and data scarcity for low-resource languages. We pay our contributors, and we don’t sell ads.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40

Viso.ai

JANUARY 16, 2024

For instance, recent research from Carnegie Mellon developed a framework to use audio and text to learn about visual data. The method overcomes the issue of data scarcity, as sufficient malware samples are difficult to find. As the article explains, the N-shot learning paradigms address these data challenges.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52

John Snow Labs

AUGUST 7, 2024

Overcoming Data Limitations In healthcare, the availability and quality of data can be significant barriers to research and development. Gen AI addresses this by generating high-quality, synthetic datasets that can supplement real data, enabling researchers and healthcare professionals to overcome data scarcity and privacy concerns.

Generative AI 59

Generative AI AI AI Algorithm 59

John Snow Labs

FEBRUARY 29, 2024

Overcoming Data Limitations In healthcare, the availability and quality of data can be significant barriers to research and development. Gen AI addresses this by generating high-quality, synthetic datasets that can supplement real data, enabling researchers and healthcare professionals to overcome data scarcity and privacy concerns.

Generative AI 40

Generative AI AI AI Algorithm 40

Marktechpost

SEPTEMBER 15, 2024

These scenarios highlight the advantages of developing lightweight, task-specific models, offering promising returns in specialized domains where data scarcity or unique requirements make large-scale pretraining unfeasible. In high-stakes decision-making contexts, easily auditable and explainable models are typically favored.

BERT 117

BERT LLM Large Language Models Categorization 117

Pickl AI

DECEMBER 3, 2024

This capability allows organisations to expand their datasets without the need for extensive data collection, thus enhancing model training and performance while addressing issues of data scarcity and imbalance effectively. Organisations must prioritize explainability to build trust among stakeholders.

Generative AI 52

Generative AI Automation Data Quality Data Scarcity 52