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SensiML Glossary

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A
  • accelerometer
  • AdaFruit “Feather” Cortex-M4
  • AI
  • AI Chips
  • AI Silicon
  • Analog Devices
  • Analog Devices ADuCM4050
  • Android
  • anomaly detection
  • Arduino
  • Area
  • ARM Cortex-M
  • Assembly Language
  • Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizations
  • audio signal processing
  • AutoML
B
  • BLE
C
  • climate
  • climate change
  • computer programmers
D
  • data analysis
  • data collection
  • data labeling
  • data processing
  • datasets
E
  • embedded
F
  • Feature (machine learning)
  • feature vectors
  • FPGA
G
  • gesture recognition
  • GUI
I
  • IDE
  • IMU
  • Industrial Automation
  • Intel
  • IP
  • ISO
J
  • JSON
M
  • MCU
  • MEMS
  • Microchip
  • ML
  • Moore’s law
  • MPLAB
  • MQTT-SN
N
  • Nearest Neighbor
  • Neural Networks
O
  • Open Source
  • open source software
  • Ordinary Least Square Regression
P
  • Perceptron
  • Predictive Maintenance
  • Predictive Models
  • Principal Component Analysis
  • prototyping
Q
  • qualitative
  • quantitative
  • Quantized Neural Networks
R
  • Random Forest
  • rapid prototyping
  • Recurrent Neural Networks
  • Regression Models
  • Reinforcement Machine Learning
  • RNN
S
  • Samplers (Signal Processing)
  • SDK
  • Segment Filters
  • Segment Transforms
  • Segmenters
  • Semi-Supervised Machine Learning
  • SensiML Corporation
  • Sensor Fusion
  • Sensor Transforms
  • signal analysis
  • Silicon Labs
  • Singular Value Decomposition
  • smart buildings
  • smart cities
  • Smart Robots
  • software development tools
  • software distribution
  • software prototyping
  • sound recognition
  • source code
  • Spark (Software Framework)
  • ST Microelectronics
  • Supervised Machine Learning
  • Support Vector Machines
T
  • TCP
  • TensorFlow Lite for Microcontrollers
  • TinyML
  • Training Algorithms
  • tutorial
V
  • Validation Methods
W
  • Wearables
  • WEKA
  • Windowing
X
  • x86
#
  • 32-bit
  • 5G
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FAQs | Glossary

SensiML, a subsidiary of QuickLogic, offers cutting-edge software that enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into meaningful insight at the device itself. The company’s flagship solution, the SensiML Analytics Toolkit, provides an end-to-end development platform spanning data collection, labeling, algorithm and firmware auto generation, and testing.

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