How pointing errors impact quantum key distribution systems

Quantum key distribution (QKD) is an emerging communication technology that utilizes quantum mechanics principles to ensure ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
The Manila Times

Rail Vision: Quantum Transportation Delivers First Transformer-Based Neural Decoder for Universal Quantum Error Correction

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms ...

Transforming Animal Health: The Rise of AI in Veterinary Radiology

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...
Fierce Healthcare

JPM26: Anthropic launches Claude for Healthcare to turbocharge AI efficiency at health systems, payers

Anthropic is pushing into the healthcare market as it launches artificial intelligence tools and resources purpose-built for ...
Government Technology

Using Machine Learning to Understand College Closures

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
Learn With Jay on MSN

Linear regression cost function explained for beginners

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
IEEE

Overcoming Data Scarcity: Guiding Citation Function Classification With Prompt-Based Few-Shot Learning

Abstract: Citation function analysis is crucial for understanding how cited literature affects the narrative in scientific publications, as citations serve multiple purposes that need accurate ...
IEEE

Framework and Function Design of Machine Learning Platform for Power Generation Process

Abstract: With the transformation of China’s energy structure, the control requirements for the power generation process are becoming increasingly precise and intelligent. Applying machine learning ...