Why Incremental Adoption Is Your Competitive Edge

But once live, the system generates too many false positives. Investigators spend more time validating alerts than they did ...
InfoWorld

A small language model blueprint for automation in IT and HR

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

TransDigm: The Moat Is Massive, The Margin Of Safety Is Not

TransDigm Group Incorporated (TDG) stands out as a rare compounder in aerospace, leveraging regulatory barriers, proprietary products, and decentralized management for high returns.

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 ...
Stocktwits on MSN

How AMD quietly beat Nvidia this year — even as China curbs hit them both

While Nvidia still controls the bulk of AI accelerator revenue, AMD is growing faster off a smaller base, winning incremental ...

Use This Apple Engineer’s 7-Step Process to Solve Any Tough Problem

Expert software and systems engineer Allan Sun shares the system he developed for tackling obstacles big and small.

Rockwell Automation: Building Towards Autonomous Operations

Troy Mahr, Director, Rockwell Automation, explains how achieving autonomous operations requires integrating industrial data and AI to ...
YourStory

How is Ingram Micro Xvantage redefining IT distribution with an AI-driven platform model?

Ingram Micro Xvantage is reshaping IT distribution with an AI-powered, platform-driven model that simplifies complexity, boosts automation, and accelerates partner growth. Sanjib Sahoo, President, ...
IEEE

Incremental Sparse Gaussian Process-Based Model Predictive Control for Trajectory Tracking of Unmanned Underwater Vehicles

Abstract: In this letter, a Model Predictive Control (MPC) approach based on the Incremental Sparse Gaussian Process (ISGP) is designed for trajectory tracking of Unmanned Underwater Vehicles (UUVs).
IEEE

Toward Adaptive and Interpretable Process Monitoring: Incremental Variational Graph Attention Autoencoder With Probabilistic Inference

Abstract: Complex industrial processes exhibit typical nonstationarity due to frequently fluctuating material flows and complex control loops. This poses three challenges for trustworthy process ...