Nature

Remote sensing-based landslide prediction and risk assessment using a hybrid CNN–LSTM deep learning model

Landslide susceptibility assessment is essential for risk mitigation in regions affected by complex terrain and variable environmental conditions. This study proposes a hybrid deep learning framework ...
Visual Studio Magazine

Aspire 13 Makes Python a First-Class Workload with .NET and JavaScript

Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
Motor Trend

Here’s Why Tesla’s New Model Y Is Much Better Than the Old One

The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The full list of updates is extensive, but the highlights matter.
InfoWorld

Python-powered AI agents are here

Python has been the language of data science since before machine learning was trendy, and now you can use it for building AI agents, too. Get the scoop on the new Google Agent Development Kit and ...
IEEE

Stock Price Prediction Using LSTM Model Of Machine Learning And Evaluation Of Its Prediction Accuracy With Reference To Nifty50 And Sensex

Abstract: The study presents a price prediction of stock framework utilizing machine learning, specifically focusing on (Long Short-Term Memory) as the primary technique. LSTM is highlighted for its ...
Morningstar

The Rapid Growth of Model Portfolios and What Comes Next

Third-party model portfolios had $646 billion in assets under advisement as of March 31, 2025—an increase of 62% since Morningstar last surveyed for assets in June 2023, less than two years ago.
IEEE

Python Source Code Vulnerability Detection Based on CodeBERT Language Model

Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...
LinkedIn

PYTHON + DEEP LEARNING TIP – Forecasting the Future Price of a Product Using an LSTM Neural Network

To demonstrate, in an accessible and robust way, how to use Deep Learning with LSTM neural networks to forecast future prices based on historical data — a powerful technique applicable to the ...
Scientific Research Publishing

Hybrid PINN-LSTM Model for River Temperature Prediction: A Physics-Informed Deep Learning Approach ()

This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a defined ...
Autoblog

Tesla Model Q expected to launch in early 2025: Here's the projected price

View post: BMW M Boss Wants a New M1 Supercar with a Mid-Mounted Engine, Head of Design Wants It Too A Deutsche Bank report claims that Tesla has plans to release a new model in the first half of 2025 ...
MIT Technology Review

Google DeepMind’s new AI model is the best yet at weather forecasting

The research represents a shift in how we may predict the weather. Google DeepMind has unveiled an AI model that’s better at predicting the weather than the current best systems. The new model, dubbed ...
Nature

A deep LSTM-based constitutive model for describing the impact characteristics of concrete–granite composites with different roughness interfaces

In this work, the dynamic mechanical properties of concrete‒granite composites with various roughness interfaces were investigated via split Hopkinson pressure bar (SHPB) system to evaluate the impact ...