Marktechpost

MARCH 11, 2024

DNNs’ struggle with catastrophic forgetting hampers their proficiency in recognizing previously learned instruments or anatomical structures, especially when updated data is introduced, or old data is inaccessible due to privacy concerns.

Neural Network 107

Neural Network Continuous Learning Robotics Data Scarcity 107

Pickl AI

OCTOBER 9, 2024

Challenges and Limitations Despite their advantages, Small Language Models face challenges such as limited generalisation, data scarcity, and performance trade-offs, which necessitate ongoing research to enhance their effectiveness and applicability. Their narrow focus can limit their applicability in more generalised scenarios.

Natural Language Processing 52

Natural Language Processing Data Scarcity Large Language Models AI 52

Heartbeat

NOVEMBER 27, 2023

Challenges and Limitations Despite the tremendous progress made in deep learning for medical image analysis, several challenges and limitations persist. Recognizing and addressing these issues is essential to ensure the responsible and practical application of deep learning models in healthcare.

Deep Learning 59

Deep Learning Convolutional Neural Networks Neural Network Explainability 59

Pickl AI

DECEMBER 4, 2024

Summary: The future of Data Science is shaped by emerging trends such as advanced AI and Machine Learning, augmented analytics, and automated processes. As industries increasingly rely on data-driven insights, ethical considerations regarding data privacy and bias mitigation will become paramount.

Data Science 52

Data Science Data Scientist Machine Learning Data Analysis 52