Google fears massive attempt to clone Gemini AI through model extraction

The company identified over 100,000 prompts it suspects were intended to extract proprietary reasoning capabilities.

OpenAI’s rapid GPT-5.3-Codex model moves beyond simple coding tasks

“Codex-Spark is the first step toward a Codex that works in two complementary modes: real-time collaboration when you want ...
IEEE

TA-TransUNet: An Improved Deep Learning Network Model for Water Body Extraction From Remote Sensing Images

Abstract: Water body extraction, a critical task in environmental monitoring and resource management, has gained extensive research and application in recent years through the use of remote sensing ...
IEEE

Spatio-Temporal Feature Extraction for Predicting Large-Scale Train Delay Propagation in High-Speed Railway Networks

Abstract: The safe, punctual, and reliable operation of high-speed railway (HSR) networks is crucial for ensuring system efficiency and enhancing passenger experience. However, due to the complexity ...
The New York Times

Inside ‘Operation Absolute Resolve,’ the U.S. Effort to Capture Maduro

The tactically precise operation successfully extracted Mr. Maduro with no loss of American life, a result heralded by President Trump amid larger questions about the legality and rationale for the ...
GitHub

Beyond Endpoints: Path-Centric Reasoning for Vectorized Off-Road Network Extraction

MagRoad introduces a novel path-centric reasoning approach for extracting vectorized road networks, specifically designed to handle the challenges of off-road and wild environments. Unlike ...
TechCrunch

AWS doubles down on custom LLMs with features meant to simplify model creation

Right on the heels of announcing Nova Forge, a service to train custom Nova AI models, Amazon Web Services (AWS) announced more tools for enterprise customers to create their own frontier models. AWS ...
Scientific Research Publishing

Qin, S., Zhang, Y. and Chen, Z. (2023) A Robust Multi-Scale Feature Extraction Framework with Dual Memory Module for Multivariate Time Series Anomaly Detection. Neural Networks ...

ABSTRACT: Time series anomaly detection is important in fields such as industrial control, but faces challenges such as data distribution drifting over time, diverse normal patterns, and training data ...
Inside EVs

Standard Model Y and Model 3: All The Features Tesla Cut

The new Tesla Model Y Standard and Model 3 Standard are $5,000 and $5,500 more affordable than the rest of the lineup, respectively. Tesla cut a laundry list of features from the cars to make them ...
Frontiers

Hybrid recurrent with spiking neural network model for enhanced anomaly prediction in IoT networks security

Introduction: As the number of Internet of Things (IoT) devices grows quickly, cyber threats are becoming more complex and increasingly sophisticated; thus, we need a more robust network security ...
Inside EVs

Tesla's Cheaper Model Y Standard Loses A Surprisingly Basic Feature

Tesla dropped its long-awaited more affordable models on Tuesday. The Model 3 Standard and Model Y Standard cost less, but come with some compromises. Tesla eliminated FM/AM radio from the ...