TI's integrated TinyEngine NPU can run AI models with up to 90 times lower latency and more than 120 times lower energy ...

STMicroelectronics to integrate ST sensors, microcontrollers, and motor control solutions with NVIDIA robotics ecosystem to help developers design, train, and deploy humanoid robots and other physical ...

These tools are already used by developers to train and simulate AI systems before deploying them in real world environments. The idea is to make the entire process smoother, from building AI models ...

Texas Instruments MSPM0G5187 and AM13Ex are two new microcontroller (MCU) families featuring the company's  TinyEngine neural processing unit (NPU) to ...

STMicroelectronics accelerates global adoption and market growth of Physical AI with NVIDIA STMicroelectronics to integrate ST sensors, microcontrollers, and motor control solutions with NVIDIA roboti ...

Firms slash worker pay and positions to bankroll AI infrastructure as studies question whether investments will pay off.

STMicroelectronics announces new steps to accelerate the development and deployment of physical AI systems worldwide.

Day 2 of embedded world 2026 focused on rapid prototyping, modular systems, and AI-assisted development. Two booths that drew attention were DigiKey and Texas Instruments, each showing platforms and ...

Mobile World Congress 2026 in Barcelona brought together semiconductor vendors, wireless infrastructure companies, and test-and-measurement suppliers to present new hardware platforms, chipsets, and ...

With the support of the organization’s global network, MathWorks will help engineers use its MATLAB and Simulink platforms.

It’s the main hub that ties everything together—sort of like the conductor for the orchestra that is a robot. It takes in data from sensors, runs that through some code (which you or someone else ...

PycoClaw is a MicroPython-based platform for running AI agents on ESP32 and other microcontrollers that brings OpenClaw ...