Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
Microsoft

Detecting backdoored language models at scale

Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
IEEE

Data-Driven Model Predictive Control for Trajectory Tracking in UAV-Manipulator Systems

Abstract: This work presents the design and implementation of a data-driven Nonlinear Model Predictive Control (NMPC) framework for an Uncrewed Aerial Vehicle (UAV) equipped with a 3-DOF robotic arm.

GTM engineer: A high-impact career to consider in 2026

ZoomInfo reports a growing demand for GTM engineers, pivotal in automating revenue operations, with competitive salaries and ...
GitHub

A Python 3 headless implementation of the Capella modeling tool

capellambse allows you reading and writing Capella models from Python without Java or the Capella tool on any (reasonable) platform. We wanted to "talk" to Capella models from Python, but without any ...
GitHub

Data Modeling Guide: ClickHouse ETL with NOAA Weather Data Example

We use S3 source with ClickHouse as engine, and Rill for visualization. This example demonstrates advanced data modeling strategies for real-time analytics using ClickHouse and Rill. We showcase how ...
IEEE

Data-Driven Linear Parameter-Varying Model Predictive Control for Unknown Nonlinear Systems

Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...