IEEE

An Adaptive Sampling Method Based on Expected Improvement Function and Residual Gradient in PINNs

Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...
IEEE

The Peak Value Method (PVM): A Phenology-Guided, Training-Independent Approach for Large-Area Time-Series Winter Wheat Mapping in the Cross-Border Region Between Bulgaria and ...

Abstract: Accurate, field-scale mapping of crop-type areas across large and diverse regions remains challenging due to the need for extensive training data, inconsistent ground surveys, and the ...
Tech Times

Embodied AI World Models Attracted $6 Billion, But the LLM Parallel May Not Hold

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...
InfoQ

Azure Functions Ships Serverless Agents Runtime at Build 2026

Azure Functions shipped a serverless agents runtime in public preview at Build 2026. Agents are defined in .agent.md markdown ...

Guns? Weapons hunters can use in Florida's python challenge

Can you use your firearm while competing in the Florida Python Challenge? Here's what to know before it begins.
Nature

A scalable approach to investigating sequence-to-function predictions from personal genomes

Sequence-to-function (S2F) models can evaluate arbitrary DNA sequences, yet they struggle to fully capture inter-individual variation in gene expression. We introduce SAGE-net, a scalable framework ...
makeuseof

Modern Excel finally made sense to me after I learned how arrays and ranges are different

In 2021, after catching the tech bug as a kid and earning a degree in communications, Ada got into tech writing by editing crypto guides. Ada's expertise now spans Windows, Android (especially Samsung ...