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 ...
Tech Xplore on MSN21d
Novel liquid acoustic sensor mimics whale melon to recognize voices in noisy environmentsIn 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, ...
"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.
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