News
Edge AI applications include arc fault detection and condition monitoring
1+ hour, 43+ min 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 IoT applications. The platform integrates deployable pre-trained models, application code and development tools including MPLAB X…...
How is physical AI used in autonomous and electric vehicles?
1+ week, 5+ 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?
2+ mon, 3+ 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
3+ mon, 1+ week ago (141+ words) Analog Devices has launched CodeFusion 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 and…...
How does deep learning actually work?
4+ mon, 1+ week ago (832+ words) October 2, 2025 By Rakesh Kumar, PhD Deep learning has added a new dimension to engineering applications, from 5G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes network traffic with accuracy. But how do these artificial…...
What are attention mechanisms, and how do they work in speech and audio processing?
4+ mon, 2+ week ago (552+ words) September 22, 2025 By Rakesh Kumar, PhD 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, how…...
Three modals that will shape multimodal AI
5+ mon, 3+ day 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…...
Starter kit integrates DSP blocks, multipliers and AI tensor support
5+ mon, 3+ week ago (227+ words) August 15, 2025 By Aimee Kalnoskas Arrow has introduced the AXE5000 FPGA Starter Kit, built around the Altera" Agilex" 5 E-series device. The kit provides a compact platform for evaluating midrange FPGA applications that require optimized performance-per-watt in small form factors. The device integrates…...
How can neuromorphic devices be harnessed in edge AI computing?
6+ mon, 2+ week ago (690+ words) July 23, 2025 By Jeff Shepard Neuromorphic computing, which mimics the human brain's architecture and function, can be leveraged in edge computing to improve power efficiency, speed, and adaptability. By processing data locally and using event-driven computation, neuromorphic chips can optimize resource…...
How can silent data corruption be detected and corrected in AI systems?
7+ mon, 2+ day ago (581+ words) July 9, 2025 By Jeff Shepard Silent data corruption (SDC), sometimes called bit rot or silent data errors (SDEs), refers to errors in data that are not detected by standard error-checking mechanisms, leading to potentially significant data loss or incorrect calculations. SDCs…...