TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Forbes

How Predictive Analytics Improves Decision-Making In Educational Institutions

Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.
Hosted on MSN

20 activation functions in Python for deep neural networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Russia says man ...
Wired

AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
IEEE

Brain-Controlled Wheeled Mobile Robots: A Framework Combining Probabilistic Brain-Computer Interface and Model Predictive Control

Abstract: Brain-controlled systems have experienced significant advancements in overall performance, largely driven by continuous optimization and innovation in electroencephalography (EEG) ...
Baylor College of Medicine

Brain “stars” hold the power to preserve cognitive function in model of Alzheimer’s disease

Researchers at Baylor College of Medicine have discovered a natural mechanism that clears existing amyloid plaques in the brains of mouse models of Alzheimer’s disease and preserves cognitive function ...
GEN

Improving Astrocyte Function Shows Promise for Alzheimer’s Mouse Model

The link between Alzheimer’s disease and amyloid plaques is well documented, with innumerable studies exploring techniques and therapies to inhibit plaque formation, preventing development or ...
Fierce Healthcare

Function Health lands $300M, rolls out 'medical intelligence' AI model for health data

Function Health, a startup that offers lab testing and body scans for early disease detection, scored nearly $300 million in series B funding, boosting its valuation to $2.5 billion. Redpoint Ventures ...
Frontiers

Early prediction of gestational diabetes mellitus using machine learning-integrated metabolomic and clinical features

1 Department of Endocrinology, Hainan Provincial People’s Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China 2 Department of Medical Record Management, Hainan ...
TechRepublic

Top Predictive Analytics Tools for Enhancing Customer Communication

Find the best predictive analytics tools to boost customer experience with clear top picks, pricing guidance, and an easy how-to choose checklist. Predictive analytics tools are revolutionizing ...
Scientific Research Publishing

Asaad, R.R. and Ali, R.I. (2019) Back Propagation Neural Network (BPNN) and Sigmoid Activation Function in Multi-Layer Networks. Academic Journal of Nawroz University, 8, 216-221.

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...