Maximizing Edge Intelligence Requires More Than Computing


By Toshi Nishida, Avik W. Ghosh, Swaminathan Rajaraman, and Mircea Stan Commercial-off-the-shelf (COTS) components have enabled a commodity market for Wi-Fi-connected appliances, consumer products, infrastructure, manufacturing, vehicles, and wearables. However, the vast majority of connected systems today are deployed at the edge of the network, near the end user or end application, opening... » read more

Making Sensors More Reliable


Experts at the Table: Semiconductor Engineering sat down to talk about the latest issues in sensors with Prakash Madhvapathy, director of product marketing, Tensilica audio/voice DSPs group at Cadence; Kevin Hughes, senior product manager for MEMS sensors at Infineon; and Matthew Hogan, product management director at Siemens EDA. What follows are excerpts of that conversation. [L-R] Kevin ... » read more

Data Collection For Edge AI / Tiny ML With Sensors


Reality AI software from Renesas provides solution suites and tools for R&D engineers who build products and internal solutions using sensors. Working with accelerometers, vibration, sound, electrical (current/voltage/ capacitance), radar, RF, proprietary sensors, and other types of sensor data, Reality AI software identifies signatures of events and conditions, correlates changes in signat... » read more

Network-on-Chips Enabling Artificial Intelligence/Machine Learning Everywhere


Recently, I attended the AI HW Summit in Santa Clara and Autosens in Brussels. Artificial intelligence and machine learning (AI/ML) were critical themes for both events, albeit from different angles. While AI/ML as a buzzword is very popular these days in all its good and bad ways, in discussions with customers and prospects, it became clear that we need to be precise in defining what type of A... » read more

New Developments Set To Accelerate MIPI CSI-2 Adoption In Automotive


As Advanced Driver-Assistance Systems (ADAS) become more sophisticated, cars are equipped with an increasing number of cameras and sensors. To support features like automated parking, adaptive cruise control, and enhanced night vision, sensors source multiple wavelengths and deploy cameras with higher quality data formats, higher frame and refresh rates. ADAS systems are all powered by data sou... » read more

Research Bits: August 22


Photonic memory Researchers from Zhejiang University, Westlake University, and the Chinese Academy of Sciences developed a 5-bit photonic memory capable of fast volatile modulation and proposed a solution for a nonvolatile photonic network supporting rapid training. This was made possible by integrating the low-loss phase-change material (PCM) antimonite (Sb2S3) into a silicon photonic plat... » read more

Nine Essential Criteria To Achieve A Successful Bonding Process


A photosensitive permanent bonding material enables the creation of high-quality permanent bonds between dissimilar materials used in the creation of MEMS and sensors. Having a thorough understanding of the materials and product performance is crucial to the success of the end application. In this article, we explore nine criteria used to evaluate a polymeric photosensitive permanent bonding ma... » read more

Virtual Development Of Perception Sensor Systems


By Ron Martin and Christoph Sohrmann Over the past few years, there has been a marked expansion in research and development activities related to driver assistance systems as well as highly automated and connected driving systems. However, this has yet to translate into a higher degree of automation in the average production vehicle – especially for SAE Level 3 and above. The next step in ... » read more

Automotive Lidar: Softening The Trade-off Between Ambiguity Range And Speed 


A technical paper titled “Overcoming the limitations of 3D sensors with wide field of view metasurface-enhanced scanning lidar” was published by researchers at Université Côte d’Azur and CRHEA. Abstract: "Lidar, a technology at the heart of autonomous driving and robotic mobility, performs 3D imaging of a complex scene by measuring the time of flight of returning light p... » read more

Research Bits: July 5


UTe2 breakthrough for quantum computing Scientists from the Macroscopic Quantum Matter Group laboratory at the University College Cork (UCC) in Ireland discovered a spatially modulating superconducting state in the superconductor uranium ditelluride (UTe2) that could be useful as in topological quantum computing. Using a powerful quantum microscope, the team found that the some of the electro... » read more

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