Author's Latest Posts


Enabling Physical AI and Robotics: Platform for the Intelligent Edge


Physical AI has emerged as an essential technology driving the future of robotics — it closes the loop between perception, reasoning, and action in the real world using powerfully trained AI models. But for robots and autonomous machines, that loop only works well if it runs where the world is actually sensed: at the Edge. Instead of streaming raw sensor data to a data center for interpretati... » read more

How Grinn And Synaptics Are Accelerating Edge AI Adoption And Innovation


From smart cities to industrial automation, organizations are rethinking how and where data is processed. The answer, increasingly, is at the Edge—where devices can analyze information in real time without sending it to the cloud. This approach improves responsiveness, enhances security, and reduces reliance on network connectivity. Recognizing this shift, Grinn Global and Synaptics have p... » read more

Enhancing Dexterous Humanoid Robot Hands With Superior Touch ICs


New Paths to Human-Level Dexterity Humanoid robots and other general-purpose robotic platforms have made astonishing progress in locomotion and perception. Some can now run, jump, and even perform flips, while advanced computer vision enables object recognition at scale. Yet true human-level dexterity requires more than just bipedal agility or high-resolution cameras: it demands a refined s... » read more

Three Key Reasons That The Future Of Smart Home Devices Is Embedded Contextual AI


Artificial intelligence has become a transformative force, reshaping how consumers interact with technology. Consumer-level AI tools like ChatGPT have set new benchmarks for smart home devices, raising expectations for seamless functionality, natural language interactions, and personalized user experiences. As consumers demand smarter, more intuitive devices, embedded engineers and system engin... » read more