PI (Physik Instrumente), a global leader in nanopositioning and precision motion and positioning systems, has introduced the ...

SHREWSBURY, MA, Dec. 12, 2025 – PI (Physik Instrumente), a global leader in nanopositioning and precision motion and ...

SHREWSBURY, Mass., Dec. 10, 2025 /PRNewswire/ -- PI (Physik Instrumente), a global leader in nanopositioning and precision motion and positioning systems, has introduced the E-713 series, its newest ...

Melexis has introduced a new inductive position-sensing chip aimed at robotics, industrial automation, and emerging mobility ...

What began as fixed industrial machines programmed for repetitive tasks are now evolving into mobile, intelligent systems ...

The Melexis MLX90514 inductive sensor delivers high-precision position sensing, while reducing system complexity.

Abstract: This article presents a novel concept for the implementation of electromagnetic encoders exhibiting very high data density per unit length (DPL), a figure of merit (FoM) of such systems.

Book in collaboration with onsemi, exploring the transformative impact of robotics in scale, capability, context and more. What began as fixed industrial machines programmed for repetitive tasks are ...

Melexis has announced a new model of the MLX90514, a dual-input inductive sensor interface, tailored for robotics, industrial, and mobility applications. Through its SSI output protocol, it produces ...

V, a multimodal model that has introduced native visual function calling to bypass text conversion in agentic workflows.

Abstract: Deep learning has significantly impacted the physical layer of wireless communications, leading to rapid advancements in this field. Auto-encoder, a self-supervised learning framework, has ...

This repository contains the official TensorFlow implementation of the MSI-Net (multi-scale information network), as described in the Neural Networks paper Contextual encoder-decoder network for ...