Author's Latest Posts


Simplifying AI Deployment from the Cloud to Edge and Endpoint


Artificial Intelligence (AI) is transforming every aspect of life. It is enhancing quality in industrial applications, enabling smart home systems, monitoring our safety as we work and play. Advances in technology have allowed us to run complex machine learning algorithms to tackle unique problems allowing those to be implemented also on embedded devices used in our daily life in home and indus... » read more

Seeing with Sound: AI-Based Detection of Participants in Automotive Environment from Passive Audio


Existing ADAS solutions for car environmental awareness (cameras, LiDAR, ultrasonic, etc.) require targets to be in a clear line of sight from the sensor. The target must be illuminated by some source of energy, so systems are affected by dust, weather, lighting, and obstacles. We address those limitations using a passive acoustic solution that “listens” to the environment. It can hear pote... » read more

Technology of the Connected Home and Building Delivers On Safety, Comfort and Convenience


Devices for the home and office are increasingly differentiated by their intelligence and connectivity. Products that can sense their environment, detect users and other people, understand behavior, and respond in a way that humans find intuitive, provide higher value in the form of greater comfort, convenience and safety. This new generation of equipment for the smart home and building is made... » read more

Security For AI And AI For Security


The aspect for AI was drastically changed after the introduction of ChatGPT from 2022. Even during 2010s, the question of whether the evolution of AI can overcome human’s logical thinking had been researched and developed (e.g., IBM Watson and Google AlphaGo). Now, a few years later from these results, everyone can experience the future potential of AI from the advent of generative AI. Major ... » read more

Ultimate Guide To Machine Learning For Embedded Systems


Machine learning is a subfield of artificial intelligence which gives computers an ability to learn from data in an iterative manner using different techniques. Our aim here being to learn and predict from data. This is a big diversion from other fields which poses the limitation of programming instructions instead of learning from them. Machine learning in embedded systems specifically target ... » read more

Next Generation Highly Power-Efficient AI Accelerator (DRP-AI3)


As the working population decreases due to falling birthrates and a growing proportion of the population being elderly, advanced artificial intelligence (AI) processing, such as recognition of the surrounding environment, decision of actions, and motion control, will be required in various aspects of society, including factories, logistics, medical care, service robots operating in the city, an... » read more

Build Secured And Cost Effective Next-Generation Actuator And Sensor Applications Based On The Latest E/E Architectures


Automotive E/E architectures have undergone remarkable changes in recent years influencing actuator and sensor applications such as body control (lights, windows, and mirrors, etc.), motor control such as engine pumps and fans, and sensor control. Traditionally, these applications have used small and low-cost 16-bit microcontrollers (MCUs) but now they need more advanced 16-bit MCUs. In this wh... » read more

Simplifying the Connected Future: Navigating Complexity In The IoT Landscape


Smart home devices, appliances, ear buds, personal medical devices, smart energy meters, POS machines, asset, and fitness trackers, … Whatever device you can think of that makes our lives more convenient, safer and more enjoyable, in today’s world it’s likely to be connected, often wirelessly. Almost everywhere, connectivity is no longer an extra, it’s expected. And expectations are gro... » read more

Flexible Temperature Measurement with the ZSSC3241 Enables Bridge as Temperature Sensor


Accurate measurement using sensor elements requires precise and local measurement of the element’s temperature for correction and compensation across a wide operating range. Thus, an integral part of Sensor Signal Conditioner (SSC) functionality is to provide at least one or more methods to measure temperature of the sensor element, which is typically a resistive bridge or capacitive transduc... » 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

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