IEEE

A Survey on Neural Network Prediction Based on Fuzzy Information Granules: Methods, Applications, and Future Challenges

Abstract: In the era of artificial intelligence, the complexity and diversity of data have posed unprecedented challenges for prediction tasks. Fuzzy information granules (FIGs) have emerged as a ...

Prof.ai to founder.ai

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the ...
IEEE

Artificial Neural Network-Based Prediction of Total Project Cost of Residential Dwellings in Quezon City, Philippines Utilizing Engineering Building Parameters and Site ...

Abstract: This study develops an Artificial Neural Network (ANN)-based prediction model to estimate the total project cost (TPC) of residential dwellings in Quezon City, the largest local government ...
Utrecht University

Olifant – An efficient, explainable, and eco-friendly approach to Large Language Modeling

In this online lecture and accompanying demo, Antal van den Bosch will demonstrate Olifant, a recently revived language model that offers an energy-efficient alternative to Large Language Models (LLMs ...
Hosted on MSN

Neural network Python from scratch with softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Frontiers

Neural networks and foundation models: two strategies for EEG-to-fMRI prediction

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...
Reuters

CNBC signs deal with Kalshi to add prediction data from next year

Dec 4 (Reuters) - CNBC has signed a multi-year deal with prediction-market operator Kalshi, bringing real-time probability data into the network's TV broadcasts and digital platforms starting next ...
C&EN

Multilevel Fusion Graph Neural Network for Molecule Property Prediction

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...
GitHub

axion-project/rust-neural-network

A high-performance neural network implementation written in Rust from scratch. This project demonstrates building AI/ML components in Rust for superior speed and memory safety compared to traditional ...
Scientific Research Publishing

Deformation Control and Early Warning Analysis of Deep Riverside Foundation Pit Construction Process Based on Machine Learning ()

1 China Communications Third Shipping Engineering Bureau Co., Ltd., Shanghai, China. 2 School of Civil Engineering, Wuhan University, Wuhan, China. The large deep foundation pit projects usually face ...