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FEATURED BLOG Sound Recognition with Qeexo AutoML
Introduction Sound Recognition is a technology based on traditional pattern recognition theories and signal analysis methods which is widely used in speech recognition, music recognition and many other research areas such as acoustical oceanography [1]. Generally, microphones are regarded as sufficient sensing modalities as input to machine learning methods within these fields. Microphones are capable […]
Zhongyu Ouyang and Dr. Geoffrey Newman 21 September 2020 -
FEATURED BLOG Inference Settings: Instance Length and Classification Interval
Qeexo AutoML enables machine learning application developers to customize inference settings based on their use-case. These parameters are critical for achieving the best live performance of models on the embedded target. In this article, we will discuss the two parameters associated with the inference settings; instance length and classification interval. Instance Length Instance length is […]
Xun (Jared) Liu, Dr. Rajen Bhatt, and Dr. Geoffrey Newman 09 September 2020 -
BLOG Sound Recognition with Qeexo AutoML
Introduction Sound Recognition is a technology based on traditional pattern recognition theories and signal analysis methods which is widely used in speech recognition, music recognition and many other research areas such as acoustical oceanography...
Zhongyu Ouyang and Dr. Geoffrey Newman 21 September 2020 -
PRESS Qeexo AutoML Enables Machine Learning on Arm Cortex-M0 and Cortex-M0+
First company to build an automated ML platform for the Arm Cortex-M0 and Cortex-M0+ processor MOUNTAIN VIEW, Calif. (PRWEB) September 09, 2020 Qeexo, developer of an automated machine learning (ML) platform that accelerates the deployment of tinyML...
Qeexo, Co. 09 September 2020 -
BLOG Inference Settings: Instance Length and Classification Interval
Qeexo AutoML enables machine learning application developers to customize inference settings based on their use-case. These parameters are critical for achieving the best live performance of models on the embedded target. In this article, we will...
Xun (Jared) Liu, Dr. Rajen Bhatt, and Dr. Geoffrey Newman -
BLOG Classification Interval for Qeexo AutoML Inference Settings
Inference settings contain two important parameters; Instance length and Classification interval. In this blog, we will explain the Classification Interval and in conjunction with raw sensor signals, ODR, Instance length, latency, and performance of...
Sidharth Gulati and Dr. William Levine 12 August 2020 -
BLOG Anomaly Detection in Qeexo AutoML
Qeexo AutoML supports three one-class classification algorithms widely used for anomaly/outlier detection; Isolation Forest, Local Outlier Factor, and One-class Support Vector Machine. These algorithms build models by learning from only one class of...
Dr. Karanpreet Singh and Dr. Rajen Bhatt 15 July 2020 -
PRESS Qeexo Takes Misery Out of EdgeML
Startup Takes a Dose of its Own Medicine
Electronic Engineering Journal 14 July 2020