MicroCloud Hologram Inc. Releases Hybrid Quantum-Classical Convolutional Neural Network, Achieving New Breakthrough in MNIST Multi-Class Classification

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

Machine Learning Can Forecast Which Stock Factors Will Outperform

Can machine learning predict which equity factors will outperform? A new study finds that machine learning models, especially ...
eLife

Decoding molecular mechanisms for loss-of-function variants in the human proteome

ESMs, a proteome-scale framework to classify loss-of-function missense variants into distinct mechanistic groups by combining two complementary state-of-the-art machine learning models. The strength ...
Devdiscourse

Forecasting economy’s future: Shrinkage-based AI models deliver greater accuracy and stability

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...
IEEE

A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events

Abstract: Sleep apnea, a common and potentially serious sleep disorder, is characterized by repeated pauses in breathing during sleep. These pauses, known as apneas, can last from a few seconds to ...
CBSSports.com

Chiefs vs. Giants props, picks, SportsLine Machine Learning Model AI predictions: Johnson over 22.5 receiving

The NFL schedule has reached Week 3 and the Sunday Night Football matchup will feature the New York Giants (0-2) hosting the Kansas City Chiefs (0-2). Veteran quarterbacks Russell Wilson and Patrick ...
Phys.org

Machine learning and quantum chemistry unite to simulate catalyst dynamics

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production.
IEEE

Unveiling the Role of Weighted Loss Functions in Deep Learning-Based Nowcasting of Extreme Rainfall Events

Abstract: Nowcasting plays a crucial role in responding to disasters such as flash floods by predicting rainfall in real time. However, existing nowcasting models struggle to accurately predict ...
bjo.bmj

Machine-learning algorithms for the identification of visual field loss associated with the antiseizure medication vigabatrin—a proof of concept

Background/aims The antiseizure medication, vigabatrin, is associated with visual field loss (VAVFL). However, the fields can be challenging to interpret due to unfamiliarity with the characteristics ...
Frontiers

Machine learning for improved path loss prediction in urban vehicle-to-infrastructure communication systems

Path loss prediction is crucial to facilitate reliable vehicle-to-infrastructure (V2I) communications. In this study, machine learning techniques are investigated for path loss modeling using ...
Frontiers

A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning

Objective: Currently, there is no individualized prediction model for joint function recovery after ankle fracture surgery. This study aims to develop a prediction model for poor recovery following ...