News
Why Unseen Vibration Is Becoming a Hidden Yield Risk in Semiconductor Manufacturing
1+ hour, 42+ min ago (566+ words) Log in to bookmark articles! Semiconductor manufacturing continues to push the limits of precision. Advanced devices rely on circuit features measured in tens of nanometers, with complex, multi-layered structures that must align across hundreds of process steps. At the same…...
How humanoids learn to read the room
1+ hour, 52+ min ago (842+ words) Log in to bookmark articles! Designing for a humanoid robot is one of the most complicated applications in robotics today. All on its own, a humanoid system has to manage movement, balance, vision and reactivity across a complex web of…...
Engineering deep dive-monthly forum highlights April edition
1+ week, 3+ day ago (890+ words) Log in to bookmark articles! Engineering deep dive-monthly forum highlights " April edition Welcome to the April edition of Engineering Deep Dive " a curated selection of the most engaging technical threads from the Electro-Tech-Online community's Electronic Projects Design/Ideas/Reviews category....
Edge AI applications include arc fault detection and condition monitoring
3+ mon, 2+ week ago (93+ words) Microchip Technology has introduced full-stack edge AI solutions built around its microcontrollers and microprocessors to support real-time inferencing in industrial, automotive, data center and Io T applications. The platform integrates deployable pre-trained models, application code and development tools including MPLAB…...
How is physical AI used in autonomous and electric vehicles?
4+ mon, 2+ day ago (457+ words) January 30, 2026 By Jeff Shepard Physical AI (PAI) in autonomous and electric vehicles (EVs) involves systems that perceive the environment, make intelligent decisions, and execute appropriate actions in real-time, bridging the gap between digital intelligence and physical motion. PAI is autonomous,…...
How is a transformer used in neural networks?
6+ mon, 2+ week ago (585+ words) November 14, 2025 By Jeff Shepard Self-attention is the differentiator between transformers and previous NN architectures. It's a way of calculating an "attention score" to identify the relationships between tokens, like words in a sentence or pixels in an image, even if…...
Open-source dev system expanded to include unified multi-core and AI model deployment
6+ mon, 4+ week ago (141+ words) Analog Devices has launched Code Fusion Studio 2. 0, upgrading its open-source embedded development platform with comprehensive AI workflow support and unified multi-core orchestration capabilities. The Visual Studio Code-based environment now enables engineers to develop, debug, and deploy across ADI's entire processor…...
How does deep learning actually work?
7+ mon, 4+ week ago (832+ words) October 2, 2025 By Rakesh Kumar, Ph D Deep learning has added a new dimension to engineering applications, from 5 G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes network traffic with accuracy. But how do…...
What are attention mechanisms, and how do they work in speech and audio processing?
8+ mon, 1+ week ago (552+ words) September 22, 2025 By Rakesh Kumar, Ph D Attention mechanisms are very useful innovations in the field of artificial intelligence (AI) for processing sequential data, especially in speech and audio applications. This FAQ talks about how attention mechanisms work at their core,…...
Three modals that will shape multimodal AI
8+ mon, 3+ week ago (795+ words) Embedded systems are inherently multimodal. Edge AI is transforming the way sensor data is processed and utilized to inform decisions and actions. The rapid shift toward multimodal AI in embedded systems will deliver exponential gains in functionality. Future systems will…...