TDK SensEI’s Michael Gamble addresses the myths of applying machine-learning technologies to smart edge devices.
The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential ...
Particulate matter levels change over a 100 meter radius and therefore a lot of sensors are needed to map the Particulate ...
ST AIoT Craft, a new web-based tool from STMicroelectronics, simplifies developing and provisioning node-to-cloud AIoT ...
In recent years, engineers have developed a wide range of increasingly sophisticated sensors for robotic, portable, wearable ...
ST’s web-based tool, AIoT Craft, simplifies the development and provisioning of node-to-cloud AIoT projects that use the ...
The autonomy revolution is progressing. Helm.ai's unsupervised learning and generative AI approach offers scalability, ...
ST AIoT Craft, a new web-based tool from STMicroelectronics, has been developed to simplify the developing and provisioning ...
"The significant advance of this study is the integration of multimodal flexible sensors, real-time machine learning data analyses, and remote vital monitoring using a smartphone," Takei concludes.