Acoustic Event Detection
Accurate AI Sensor Algorithms For the Smallest IoT Devices
Activity Recognition
Anomaly Detection
Gesture Recognition
Keyword Spotting
Vibration Classification
AI/ML tools for the cloud are great... for cloud-centric data analytics. But such tools are NOT well suited for generating ultra compact, optimized sensor inference code for microcontrollers and edge processors.
SensiML Analytics Toolkit factors edge performance and optimization into every step of the AI/ML development pipeline from data collection to optimized code generation. In addition, our processing libraries and base models are built specifically to support sensor data and use cases. The result: ML code that in some cases can even run on 8-bit MCUs!
So don't start your project off on the wrong foot with general purpose AI tools for cloud analytics. Explore how SensiML's powerful yet straightforward IoT edge tool suite generates best-in-class ML code accuracy and efficiency.
Join SensiML and Silicon Labs for a special IoT developer face-to-face event in Silicon Valley, September 19th. SensiML will be featured in two AI/ML sessions including a hands-on ML workshop using MG24 EVB boards.
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SensiML's latest update for Data Studio includes a new Generative AI feature allowing users to rapidly create hyper-realistic synthetic speech datasets for voice applications. See our how-to article and read the details in the press release.
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Integrating generative AI into SensiML’s open-source Piccolo AI toolkit is a significant opportunity ripe for prototyping, testing, and ongoing refinement. Read Ehsan Kourchi's blog discussing the prospects for generative AI and exploring specific ideas for its use.
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June 25, 2024 - SensiML launched Piccolo AI as the industry's first full open-source AutoML tool for generating ML code for IoT edge devices. Piccolo AI is hardware agnostic and supports compact ML predictive models spanning classic ML algorithms to deep learning.
To learn more, visit the project website at https://sensiml.org.
