Tag:
Mathematics and computing
AI
Revolutionizing Diagnostic and Therapeutic Approaches in Chronic Liver Disease: The Role of AI-Based Agents in Clinical Decision-Making
Chronic liver diseases include a spectrum of conditions such as metabolic dysfunction-associated steatotic liver disease (MASLD), steatohepatitis (MASH), alcohol-related liver disease (ALD), metabolic-ALD (met-ALD),...
AI Hacker News
Meet the Chinese Finance Pro Behind the Groundbreaking DeepSeek AI Model
DeepSeek: A Game-Changer in AI Development
In January 2023, DeepSeek's R1 model reshaped the artificial intelligence landscape, proving that the U.S. is not the sole...
AI Hacker News
This AI Fusion Could Pave the Way for Human-Level Intelligence
Will AI Surpass Human Intelligence? A Look at Neurosymbolic AI
The quest for artificial general intelligence (AGI) is intensifying, and a surprising ally is emerging:...
AI
Leveraging Large Language Models for Enhanced Informative Prior Distributions in Bayesian Regression Analysis
This study evaluates the efficacy of large language models (LLMs) in suggesting informative prior distributions using three models: ChatGPT-4o-mini, Gemini 2.5 Pro, and Claude...
AI
Collaborative Pathways for Multi-Agent Generation of Chinese Traditional Architectural Images
This study empirically validated a multi-agent collaborative framework for generating Chinese traditional architectural images, using Beijing's Central Axis as a case study. The framework,...
AI
Examining Toxicity and Bias in Text-to-Image Models: A Study of Stable Diffusion
In analyzing ten popular image generation models, we conducted both manual visual and data-driven assessments to evaluate harmful content. Our findings reveal that all...
AI Hacker News
Are Your AI Benchmarks Misleading You?
The Pitfalls of AI Benchmarking in Science
Artificial intelligence holds great promise in scientific advancement, yet as Anshul Kundaje of Stanford University points out, “bad...
AI
Unpacking Occupational Biases and Stereotypes in Chinese Large Language Models
This study investigates occupational biases in Chinese language models (C-LLMs) by systematically analyzing correlations among variables like occupation, gender, age, education, and region. Statistically...