Marktechpost

APRIL 23, 2024

Integrating artificial intelligence (AI) in healthcare transforms medical practices by improving diagnostics and treatment planning accuracy and efficiency. Unlike conventional methods, this approach utilizes Bayesian inference and Monte Carlo techniques to effectively manage uncertainty and data scarcity.

Deep Learning 77

Deep Learning Data Scarcity Artificial Intelligence Artificial Intelligence 77

Marktechpost

JULY 23, 2023

The number of AI and, in particular, machine learning (ML) publications related to medical imaging has increased dramatically in recent years. A current PubMed search using the Mesh keywords “artificial intelligence” and “radiology” yielded 5,369 papers in 2021, more than five times the results found in 2011.

Machine Learning 79

Machine Learning Data Scarcity Algorithm AI Researcher 79

Marktechpost

DECEMBER 31, 2023

Artificial intelligence is used in all spheres of life, providing utility in all fields. He highlighted the necessity for effective data use by stressing the significant amount of data many AI systems consume. However, due to high transaction costs and other limitations, continuous trading may not be feasible.

Neural Network 112

Neural Network Data Scarcity Artificial Intelligence Artificial Intelligence 112

Marktechpost

DECEMBER 30, 2023

A fascinating field of study in artificial intelligence and computer vision is the creation of videos based on written descriptions. link] To conclude, the TF-T2V framework offers several key advantages: It innovatively utilizes text-free videos, addressing the data scarcity issue prevalent in the field.

Data Scarcity 97

Data Scarcity Computer Vision Artificial Intelligence Artificial Intelligence 97

Marktechpost

APRIL 27, 2024

A few-shot evaluation further confirms FLORA’s proficiency in managing data scarcity and distribution variability, showcasing its robust performance even with limited training examples. In conclusion, FLORA presents a promising solution to the challenge of training vision-language models in federated learning settings.

Machine Learning 115

Machine Learning Data Scarcity Data Mining AI 115

Marktechpost

MARCH 26, 2024

In conclusion, the LLM2LLM framework offers a robust solution to the critical challenge of data scarcity. By harnessing the power of one LLM to improve another, it demonstrates a novel, efficient pathway to fine-tune models for specific tasks with limited initial data. Similarly, on the CaseHOLD dataset, there was a 32.6%

Large Language Models 119

Large Language Models Data Scarcity Natural Language Processing LLM 119

Marktechpost

MARCH 16, 2024

This method leverages pre-trained generative text and image models to create synthetic paired data for VLMs, addressing data scarcity, cost, and noise challenges. It generates both text and images synthetically, avoiding reliance on real-world data. The researchers from Google DeepMind have proposed Synth2.

Data Scarcity 88

Data Scarcity Computer Vision ML Artificial Intelligence 88

Marktechpost

APRIL 5, 2024

However, there’s potential to significantly improve models for smaller languages through multilingual training, which could mitigate the data scarcity issue. Also, don’t forget to follow us on Twitter. Join our Telegram Channel , Discord Channel , and LinkedIn Gr oup. If you like our work, you will love our newsletter.

Data Scarcity 110

Data Scarcity AI Modeling AI AI 110

Marktechpost

JANUARY 15, 2024

Developed by researchers from Apple, aiming to enhance machine translation, AlignInstruct represents a paradigm shift in tackling data scarcity. Join our 36k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper. Also, don’t forget to follow us on Twitter.

Large Language Models 113

Large Language Models Data Scarcity Computational Linguistics Natural Language Processing 113

Marktechpost

FEBRUARY 28, 2024

By aligning the embedding space of unimodal FMs through cross-modal transformation models utilizing KG triplets, BioBRIDGE maintains data sufficiency and efficiency and navigates the challenges posed by computational costs and data scarcity that hinder the scalability of multimodal approaches. Check out the Paper.

Machine Learning 79

Machine Learning AI Researcher AI Research Data Scarcity 79

Marktechpost

FEBRUARY 27, 2024

For instance, BloomberGPT excels in finance with private financial data spanning 40 years. Collaborative training on decentralized personal data, without direct sharing, emerges as a critical approach to support the development of modern LLMs amid data scarcity and privacy concerns. Check out the Paper and Github.

Large Language Models 78

Large Language Models Machine Learning Data Scarcity LLM 78

Marktechpost

NOVEMBER 9, 2023

They also make available a sizable collection of artificially photorealistic photos matched with ground truth labels for these kinds of signals to overcome data scarcity. It can also be used for data obtained from a consumer’s cell phone. Check out the Paper and Project.

Data Scarcity 126

Data Scarcity Computer Vision AI AI 126

Marktechpost

MARCH 11, 2024

The developed CAT-SD scheme effectively mitigates catastrophic forgetting, addresses data scarcity, and ensures privacy in medical datasets. Join our 38k+ ML SubReddit , 41k+ Facebook Community, Discord Channel , and LinkedIn Gr oup. Check out the Paper and Github. If you like our work, you will love our newsletter.

Neural Network 84

Neural Network Continuous Learning Robotics Data Scarcity 84

Viso.ai

DECEMBER 18, 2023

Access to synthetic data is valuable for developing effective artificial intelligence (AI) and machine learning (ML) models. Real-world data often poses significant challenges, including privacy, availability, and bias. To address these challenges, we introduce synthetic data as an ML model training solution.

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Marktechpost

SEPTEMBER 2, 2023

They optimize the LVLM using synthesized anomalous visual-textual data and incorporating IAD expertise. Direct training using IAD data, however, needs to be improved. Data scarcity is the first. With just a few normal samples, AnomalyGPT can also learn in context, allowing for quick adjustment to new objects.

Data Scarcity 120

Data Scarcity Large Language Models Natural Language Processing LLM 120

Marktechpost

JULY 29, 2023

They aimed to train a generative model that can synthesize features by providing class names, which enables them to generate features for categories without data. Also, don’t forget to join our 27k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

AI Researcher 79

AI Researcher AI Research Generative AI Data Scarcity 79

Marktechpost

FEBRUARY 29, 2024

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Check out the Paper. All credit for this research goes to the researchers of this project.

Artificial Intelligence 74

Artificial Intelligence Artificial Intelligence Data Scarcity NLP 74

Heartbeat

FEBRUARY 27, 2024

Multilingual prompt engineering creates concise and efficient instructions or prompts for artificial intelligence (AI) models capable of recognizing and generating content in several languages. Data used to train artificial intelligence models should ideally be clean, well-structured, and representative of the language’s usage.

Prompt Engineer 40

Prompt Engineer Prompt Engineering Robotics Deep Learning 40

Viso.ai

FEBRUARY 11, 2024

By covering the entire ML pipeline, Viso Suite simplifies the process of implementing computer vision solutions across disciplines, including robotics. It’s capable of scalable, photorealistic data generation that includes accurate annotations for training. To learn more about Viso Suite, book a demo with us.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

By covering the entire ML pipeline, Viso Suite simplifies the process of implementing computer vision solutions across disciplines, including robotics. It’s capable of scalable, photorealistic data generation that includes accurate annotations for training. To learn more about Viso Suite, book a demo with us.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Mlearning.ai

MAY 23, 2023

This innovative approach tackles the data scarcity issue for less common languages, allowing MMS to surpass this limitation. Meta’s solution stands out by leveraging audio recordings of individuals reading translated texts from the New Testament in various languages. Most of us have used a AI assisant on the phone.

Data Scarcity 52

Data Scarcity Algorithm OpenAI Machine Learning 52

John Snow Labs

FEBRUARY 29, 2024

They advocate for the importance of transparency, informed consent protections, and the use of health information exchanges to avoid data monopolies and to ensure equitable benefits of Gen AI across different healthcare providers and patients​​. However as AI technology progressed its potential within the field also grew.

Generative AI 40

Generative AI AI AI AI Modeling 40

Topbots

DECEMBER 19, 2023

A key finding is that for a fixed compute budget, training with up to four epochs of repeated data shows negligible differences in loss compared to training with unique data. The paper also explores alternative strategies to mitigate data scarcity. Fast, parallel, weakly-synchronized computation dominates in ML.

Large Language Models 110

Large Language Models Natural Language Processing AI Researcher AI Research 110

AWS Machine Learning Blog

MARCH 14, 2024

Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills. Launched in 2017, Amazon SageMaker is a fully managed service that makes it straightforward to build, train, and deploy ML models.

Generative AI 108

Generative AI Prompt Engineer Prompt Engineering AI 108

Viso.ai

DECEMBER 6, 2023

Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. Synthetic data generation to help overcome data scarcity and privacy problems in computer vision.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

Marktechpost

APRIL 15, 2024

However, these approaches face significant hurdles, including the curse of multilinguality, data scarcity, and the substantial computational resources required. In summary, the SambaLingo methodology represents a significant stride towards democratizing artificial intelligence across linguistic diversity.

Machine Learning 123

Machine Learning Data Scarcity Large Language Models Natural Language Processing 123

Viso.ai

JANUARY 16, 2024

The traditional machine learning (ML) paradigm involves training models on extensive labeled datasets. However, the method requires a sufficient volume of labeled training data. For instance, recent research from Carnegie Mellon developed a framework to use audio and text to learn about visual data.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Algorithm 52