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 ...
Semiconductor Engineering

Loss Errors in Error-Corrected Circuits Across A Range Of Quantum Hardware Platforms (MIT, Harvard, QuEra)

A new technical paper titled “Leveraging Qubit Loss Detection in Fault-Tolerant Quantum Algorithms” was published by ...
EurekAlert!

Helping AI systems recover from mistakes and find optimal solutions

A team of scientists funded by Asari AI, with researchers from Caltech and MIT, has developed a new tool that gives ...

Eye for trouble: Automated counting for chromosome issues under the microscope

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
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

A Noninvasive Framework for Heart Function Assessment by Multitask Learning

Abstract: Accurate assessment of cardiac function is vital for preventing and managing cardiovascular diseases (CVDs). Recent advancements in machine learning, especially convolutional neural networks ...
Phys.org

Quantum machine learning nears practicality as partial error correction reduces hardware demands

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...
eLife

Learning sequence-function relationships with scalable, interpretable Gaussian processes

This important work introduces a family of interpretable Gaussian process models that allows us to learn and model sequence-function relationships in biomolecules. These models are applied to three ...