Building an AI Driven Portfolio Management System: From Machine Learning Basics to Advanced Implementation

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially useful for financial applications because they are designed to work with ...
Wall Street Journal

Large Language Models Get All the Hype, but Small Models Do the Real Work

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.
9to5Mac

Apple just dropped a research dataset to help train AI image editing models

Apple has released Pico-Banana-400K, a highly curated 400,000-image research dataset which, interestingly, was built using Google’s Gemini-2.5 models. Here are the details. Apple’s research team has ...
IEEE

Development of a Long Short-Term Memory (LSTM)-Based Statistical Model for Earthquake Forecasting in Central Asia

Abstract: Earthquake forecasting using traditional methods remains a complex task due to the inherent nonlinearity and stochastic nature of seismic activity. Therefore, this study examines the ...
devdiscourse

AI-powered forecasting boosts retail efficiency: LSTM outshines traditional models

In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...
9to5Mac

Apple highlights third-party apps using new Foundation Model models in iOS 26

iOS 26 includes multiple new Apple Intelligence features, but one of the biggest changes is that Apple has opened up its AI models to third-party developers. This allows third-party apps to plug ...
GitHub

UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate Prediction

This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
Reuters

Alibaba, Baidu begin using own chips to train AI models, The Information reports

Sept 11 (Reuters) - China's Alibaba (9988.HK), opens new tab and Baidu (9888.HK), opens new tab have started using internally designed chips to train their AI models, partly replacing those made by ...
GitHub

Deep-Learning-for-Conditional-Asset-Pricing-Models

Overview This repository contains a Siamese LSTM architecture implementation for stock return prediction. The model uses two parallel LSTM branches to process: Individual firm characteristics Common ...
Harvard Business Review

The Case for Using Small Language Models

Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is ...
List of Banks in Belarus

Predicting and Preventing Customer Churn in Retail Banking

Customer churn is one of the most consequential threats facing retail banks today. A departing customer doesn’t just represent a loss of current revenue—it also erodes the bank’s long-term growth ...