IEEE

Spatio-Temporal Probabilistic Forecasting of Wind Speed Using Transformer-Based Diffusion Models

Abstract: Spatio-temporal wind speed forecasting plays a crucial role in enhancing energy conversion efficiency and optimizing resource allocation, forming a cornerstone of sustainable development.
IEEE

Flood Forecasting Model Using LSTM-Neural Network-Application and Challenges

Abstract: Public safety in disaster operations relies heavily on accurate predictions which help minimize flood damages. The Long Short-Term Memory (LSTM) neural network demonstrates exceptional ...

How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
CNET

I Tried Vibe Coding With Different Gemini Models. Here's What I Learned

A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.
InfoWorld

Get started with Python’s new native JIT

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...