Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...
Leveraging the high performance, low-power design, and rich peripherals of AT32 MCUs—combined with the Edge Impulse platform— ...
As enterprises embrace AI responsibly, the digital twin will emerge as the bridge between trust, transparency and ...
You can train your own image models for deployment on an ESP32-S3, and it's really easy.
Machine learning models can spot signs of contamination in cell culture much sooner than traditional approaches.
As CEO Dan Herbatschek states, “Our new survey showed on one hand, AI is enabling radically improved threat‐detection, anomaly identification, and rapid response automation for enterprise ...
In practice, teams deploy AI gradually and keep humans in the loop until confidence thresholds justify the next level of automation. Visibility, logging, training, monitoring and reviews are the ...