Search results for: 'model based system engineering iot (big data) fleet operation'

Advancements in technologies that improve navigation and object detection, communication between vehicles and infrastructure, image processing algorithms, data analytics, and machine vision have created opportunities for automotive manufacturers to discover a wide range of solutions for the automotive IoT arena. Enhanced safety and cost-effectivene...

Energy harvesting sensor solutions are emerging as a foundational layer for large-scale ambient IoT, enabling autonomous, battery-free sensing across distributed and infrastructure-intensive environments. By converting ambient energy sources such as light, heat, vibration, and RF into usable power, these sensors eliminate the need for wired power a...

Advanced edge AI sensors solutions are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including consumer electronics, manufacturing, automotive, and agriculture. Continuous advancements in sensor hardware and AI-based decision-making are reshaping the c...

Sensors are vital enablers of the Internet of Things (IoT), allowing a plethora of automated, connected devices that provide continuous feedback about their and can be remotely controlled. Sensors that are able to perform some processing and analysis on a wealth of data to provide the most important information with respect to their surroundings or...

Disruptive AI models are increasingly challenging traditional assumptions about “classic” cloud data centers. As training clusters scale up to thousands of accelerators and consume tens of megawatts of power, the conventional CPU-centric, air-cooled, monolithic server model is no longer sustainable. This research study explores the megatrend of AI ...

Marine systems are ocean and subsea monitoring and exploration systems deployed for a wide range of underwater missions and applications. It is accomplished by acquiring data of certain oceanographic parameters, such as biotic and abiotic forms of substances (foreign substances) that exist in the ocean bed. This real time information is sent to the...

The rapid expansion of Internet of Things (IoT) ecosystems has intensified the demand for uninterrupted, autonomous sensing solutions that can operate without reliance on conventional batteries. This research study investigates the evolving landscape of self-powered sensors as a foundational technology for next-generation, batteryless IoT—particula...

The Microelectronics Technology Opportunity Engine covers innovations pertaining to SRAM, Multi-chip Architecture, LoRa and AI Accelerators. Some of the innovations profiled include 2nm Custom SRAM for AI & Cloud Infrastructure Applications, Modular Quantum System with Reduced Gate Error and Multi-Chip Architecture, Microcontroller Series with High...

Smart sensors transform conventional industrial machines into connected ones via Internet. Connected industrial machines integrated with smart sensors are smart electronic devices, which can be remotely retrieved, observed, and measured using personal computers, laptops and smartphones. In the food manufacturing process, sensors are built for detec...