TinyML In Action—Creating a Voice Controlled Robotic Subsystem
We’ll be walking you through creating a robotic subsystem with a voice-activated motor leveraging machine learning (ML) and an Arduino Nano 33 BLE Sense.
SiC Collabs Fuel Advances in EV Traction Inverters and Charging Gear
As silicon carbide (SiC) proliferates in EV designs, a series of manufacturer collaborations are fueling innovation in electric vehicle (EV) traction inverters,…
Sensor ICs Suit Up to Play in EVs, RFIDs, and the IoT
New sensor innovations have emerged to play in market-specific zones. Among these are IS0-26262 electric vehicle (EV) sensors, RFID sensors, and sensors geared…
How Matter Addresses Interoperability Issues in Smart Home Devices
Incompatible smart home products can be problematic for both customers and device manufacturers. Matter is a vendor-independent unifying standard that closes the…
Improving the Capabilities of Cognitive Radar and EW Systems
Unveil the challenges that mode-agile radar and EW threat emitters pose to traditional static threat library implementations in radar and EW systems, and…
Emerging Trends in Wireless Infrastructure
5G is a transformational technology designed to provide significant flexibility and support for a variety of use cases. In this white paper, we describe the…
An Introduction to MEMS Vibratory Gyroscopes
Microelectromechanical systems (MEMS) vibratory gyroscopes can be a bit mysterious and math-intensive. Let's break the math down, and go over gyroscope basics…
The Heart of Fuel Cells, “MEAs,” May Propel the Future of Green Energy
AAC spoke to Gore to learn how membrane electrode assemblies in fuel cells can help decarbonize applications from drones to warehouses.