Opinion

Betting on war? Why prediction markets like Kalshi and Polymarket are a problem

As prediction markets like Kalshi and Polymarket offer more ways to bet on elections, war, the Oscars and more, their dangers are growing.
GitHub

Neural-Network-with-Financial-Time-Series-Data

An evnet driven model that uses financial time series data with New York Times information to form a LSTM recurrent neural network. There are 3 models. The first 2 models are based on price and volume ...
New Scientist

Quantum neural network may be able to cheat the uncertainty principle

The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
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 ...
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 As shutdown ...
Hosted on MSN

Deep Neural Network from Scratch in Python – Fully Connected Feedforward Tutorial

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...
C&EN

RTK_RAG: Leveraging Retrieval Augmented Generation with Multi-Window Convolutional Neural Networks for Superior ATP Binding Site Prediction in Receptor Tyrosine Kinases

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Receptor tyrosine kinases (RTKs) are key regulators of cellular signaling and are ...
SciELO

Prediction of Microstructural and Mechanical Properties of Steel Welds with Artificial Neural Networks

In the field of materials science, the application of machine learning, particularly neural networks inspired by the human brain, has gained significant traction in recent years. One of the key ...
IEEE

Neural Network Architecture Search Algorithm for Technical Object State Prediction

Abstract: The paper presents a new algorithm for automated search for neural network architecture for predicting the state of technical objects. Prediction is a key element of monitoring, allowing us ...
Invezz

Pi Network price prediction: Top 3 reasons Pi Coin will surge soon

Pi Network price could go parabolic in the coming weeks. The developers will have a big announcement at Consensus Toronto. There is a likelihood that it will be listed by several crypto exchanges. The ...