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45 results for AI on the Edge
When does an edge-AI project need Linux alongside a microcontroller?
… a Linux processor with a microcontroller are getting more attention. Arduino's May 2026 UNO Q article describes this split for AI and real-time I/O. For a small camera-based sorter, how should the work be divided? The camera classification can take a variable …
Forum
See all 6MSPM0 SDK edge AI examples: how can a bearing model be evaluated on another machine?
The current MSPM0 SDK includes edge AI reference applications such as bearing fault detection. What needs checking before using a demonstration model with another motor, sensor placement or sampling circuit? Reference: Texas Instruments: MSPM0 SDK …
How should an int8 edge model be compared with its float32 version?
Edge Impulse offers quantized int8 and float32 deployment options. What comparison should be made before choosing the smaller model for a sensor classifier? If overall accuracy changes only slightly, could one important class still become unreliable? Which …
How can overlapping sensor windows leak information into an AI test set?
For a vibration or audio classifier, is it valid to create many overlapping windows and then randomly split those windows into training and test sets? Adjace...
Can a PSOC Edge graphics demo share memory bandwidth with continuous inference?
… interface and an AI demonstration each run smoothly by themselves on PSOC Edge, but the combined application stutters. How can memory traffic be investigated before lowering the display frame rate? Reference: Infineon: PSOC Edge E84 …
Articles
See all 39What’s The Difference Between Edge Computing And Cloud Computing?
… edge computing to implement AI applications. Instead of storing data in a centralized cloud, edge computing saves data locally in an edge device. Moreover, the gadget may function as a stand-alone network node without an internet connection. Cloud and edge …
How Edge Computing Changes the Design of Microcontroller-Based IoT Systems
… Edge computing does not replace cloud computing. Instead, engineers can divide responsibilities between the microcontroller, edge gateway, and cloud. The microcontroller can handle time-sensitive processing and control decisions. An edge computer can perform …
ST1VAFE3BX - Advanced Biosensor and AI Core for Health Care
… relevant to its interpretations over time. Edge Computing: Performs complex computations at the edge of the chip, reducing latency, data privacy, and reliance on external servers. This capability, powered by AI, makes the chip indispensable for fast and …
Generative AI vs Adaptive AI - Which one is Right for You?
… in reinforcement learning scenarios. Big Companies Using Adaptive AI Technology Big companies are leveraging generative and adaptive AI technologies to gain a competitive edge and deliver exceptional experiences. Here are notable examples: Google's DeepMind: …
