Tag:
Computational science
AI Hacker News
AI Agents in Science: Open Conference 2025
Unlocking AI's Role in Scientific Research: Join the Revolution!
AI is reshaping every phase of scientific inquiry, from hypothesis generation to manuscript writing. Yet, most...
AI Hacker News
Analog Optical Computing: Enhancing AI Inference and Combinatorial Optimization
Explore Innovations in AI Hardware!
Uncover the groundbreaking advancements of our optical experimental setup capable of matrix-vector multiplication. This innovative technology blends optics and electronics...
AI
Exploring Theory of Mind in Large Language Models: An Analysis of Sparse Parameter Patterns
ToM tasks evaluate the capacity of Language Models (LLMs) in understanding others' mental states. Central to this assessment are false-belief tasks (FB), particularly unexpected...
AI
Transforming Art Creation: Leveraging AI-Driven Generative Adversarial Networks in Educational Support Systems
The study evaluates a novel GAN-based educational system's output quality and responsiveness compared to four baseline architectures—Baseline-GAN, StyleGAN, Pix2Pix, and CycleGAN. Using Fréchet Inception...
AI Hacker News
AI Agents in Science Conference: 2025 Edition
Unlocking the Future of Scientific Research with AI
AI is revolutionizing the landscape of scientific inquiry, driving progress from hypothesis generation to manuscript...
AI
Empowering Gene Editing: CRISPR-GPT for Automated Experimental Precision
CRISPR-GPT is an advanced AI co-pilot leveraging large language models (LLMs) to streamline gene-editing workflows, supporting four major modalities across 22 specific tasks. It...
AI
Exploring the Impact of Gen-AI Tools on Text Data Augmentation: A Case Study in Lithuanian Educational Data Classification
The literature review highlights the effectiveness of various machine learning models for classification tasks, focusing on traditional algorithms such as multi-layer perceptron (MLP), random...
AI
Revitalizing Chemical Research in the Era of Large Language Models
The collection of references primarily focuses on advancements in machine learning (ML) and large language models (LLMs) in the realm of materials and chemical...