Reading Diary #1642: 'Mathematics of Deep Learning via the Shortest Course, Expanded and Revised Edition'

Reading Notes The principle behind the learning process of machine learning and deep learning is to find parameters that ...
American Institute of Physics

Dimensionless framework improves transferability in prediction of porosity of aluminum and steel welds

Drawing together discrete porosity data with models describing their underlying physics yields dimensionless physical ...
Agence France-Presse

Terra Quantum and Empa Develop AI Model That Brings Real-Time Prediction to Laser Welding Process Control

Terra Quantum, a global leader in quantum technologies,and Empa, the Swiss Federal Laboratories for Materials Science and Technology, announced LP-FNO (Laser Processing Fourier Neural Operator), an ...
European Coatings

AI framework guides design of erosion-resistant coatings

Researchers propose a machine learning methodology to accelerate the design of erosion-resistant paint coatings. Their work ...

Why does ICH M7 (Q)SAR evaluation use 'two methodologies'? — The roles of rule-based, statistical-based, and expert judgment

Hello.This is Falmer.In this article, I will organize why the ICH M7 guideline, which evaluates mutagenic impurities in ...
BIOENGINEER

Machine Learning Pinpoints Nitrogen Uptake as Key to Predicting Rice Yields and Cutting Emissions

Rice feeds more than half of humanity, yet the world’s paddies face a tightening squeeze: demand is projected to reach 650 ...
GPS World

Evolution: Machine learning for station specific Ionosphere prediction in GNSS positioning

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

Junhao Su Studies Machine Learning-Based Android Communication Reliability

A machine-learning framework connects performance prediction with safer software evolution for Android communication systems. By combining ...
Morningstar%2c Inc.

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Analytics Insight

How AI, Machine Learning Can Help Forecast Crypto Prices

Cryptocurrency markets generate enormous amounts of information. Artificial intelligence (AI) and machine learning systems can process price movements, trading ...