The Manila Times

WiMi Explores the Application of Neural Networks in Parameter Optimization for Dual-Field Quantum Key Distribution

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ('WiMi' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, announced that they are researching the use of neural ...
Tech Times

Speech Recognition Accuracy Score Hides Its Worst Errors: Semantic Metrics Offer a Fix

Speech recognition accuracy benchmarks report low error rates while leaving the most critical words wrong. Researchers now ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
GitHub

TVM FFI: Open ABI and FFI for Machine Learning Systems

Apache TVM FFI is an open ABI and FFI for machine learning systems. It is a minimal, framework-agnostic, yet flexible open convention with the following systems in mind: These enable broad ...
IEEE

Error Loss Networks

Abstract: A novel model called error loss network (ELN) is proposed to build an error loss function for supervised learning. The ELN is similar in structure to a ...
IEEE

Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-Based Hand Movement Classification

Abstract: There has been increasing interest in applying learning algorithms to improve the dexterity of myoelectric prostheses. In this work, we present a large-scale benchmark evaluation on the ...
ascopubs.org

Development, External Validation, and Deployment of RFAN-ML: A Machine Learning Model to Estimate Renal Function After Nephrectomy

Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...
C&EN

Estimation of Hematocrit Volume Using Blood Glucose Concentration through Extreme Gradient Boosting Regressor Machine Learning Model

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
Nature

Enhancing cross entropy with a linearly adaptive loss function for optimized classification performance

We propose the linearly adaptive cross entropy loss function. This is a novel measure derived from the information theory. In comparison to the standard cross entropy loss function, the proposed one ...
LinkedIn

Lambda Function

Lambda Function is at the forefront of transforming precision machining through vertical-specific AI. Our product integrates with leading CAM software and CNC machine tools, delivering CNC programming ...