A system and method for processing human related data to make personalized and context aware decisions with distributed machine learning at an edge and a cloud is disclosed. A nearest edge computing device receives first, second and third sensed signals from first, second and third sensory devices, determines when the first, second and third sensed signals exceed corresponding thresholds, correlates pairs of the sensed signals to generate multiple correlation patterns, determines a lag time between the first sensed signal exceeding the first threshold and the second sensed signal exceeding the second threshold, provides each of the multiple correlation patterns and the lag time as inputs to multiple long short term memory (LSTM) neural networks, controls the multiple LSTM neural networks to provide outputs, and maps the patient to a stage of a medical condition based at least in part on the multiple correlation patterns and the lag time.

Methods, apparatus, and processor-readable storage media for automatic identification of resources in contention in storage systems using machine learning techniques are provided herein. An example computer-implemented method includes obtaining a primary time series and multiple candidate time series; calculating, using machine learning techniques, similarity measurements between the primary time series and each candidate time series; for each similarity measurement, assigning weights to the candidate time series based on similarity to the primary time series relative to the other candidate time series; generating, for each candidate time series, a similarity score based on the weights assigned across the similarity measurements; identifying, based on the similarity scores, at least one of the candidate time series as representative of at least one resource in contention with respect to latency data represented by the primary time series; and outputting identification of the identified candidate time series for use in automated actions.

A system and method for processing human related data to make personalized and context aware decisions with distributed machine learning at an edge and a cloud is disclosed. A nearest edge computing device receives first, second and third sensed signals from first, second and third sensory devices, determines when the first, second and third sensed signals exceed corresponding thresholds, correlates pairs of the sensed signals to generate multiple correlation patterns, determines a lag time between the first sensed signal exceeding the first threshold and the second sensed signal exceeding the second threshold, provides each of the multiple correlation patterns and the lag time as inputs to multiple long short term memory (LSTM) neural networks, controls the multiple LSTM neural networks to provide outputs, and maps the patient to a stage of a medical condition based at least in part on the multiple correlation patterns and the lag time.

Tracking and alerting Traffic management system using IoT for smart city to determine a social distance or norms violation between a plurality of communicative pairs, each of the image have plurality of communicative pairs including two communicating entities participating in a corresponding one or more of the communicative acts, the system comprising: CCTV for captured User's data i.e User movements, facial data, Smartphone data in case of accident detection; wireless trans-receiver for event propagation and sending the data to database; Sensor for getting the data of smart phones based on GPS system specially in case of accidental case; processor having CNN technology for analyzing and reverting data to control room based and configured to determine the pairwise social distancing based on particular behavior like movement and stopping or falling; hardware for storing data captured based on classification and analyzed parameters; machine learning for integration of data received from processor or sensors for visualization and processing final data to the citizens or to governments for monitoring and sending data to alarming sensor for non instructive alert if violations of social distancing norms.

Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

A data processing method for detecting the conversion from mild cognitive impairment (MCI) to Alzheimer disease (AD), allowing objectively quantifying the effects that this has on the patient's electroencephalogram (EEG). The method of the invention provides an objective criterion for monitoring the brain health status of MCI subjects, which goes alongside the other criteria of neurological, psychological, clinical and cognitive assessment normally provided by the evaluation protocols of these patients.

Disclosed herein are methods and systems for detection and discrimination of optical signals from a densely packed substrate. These have broad applications for biomolecule detection near or below the diffraction limit of optical systems, including in improving the efficiency and accuracy of polynucleotide sequencing applications.

The invention relates to the fields of process engineering and agriculture and relates to a method for in-ovo fertilisation determination and gender determination on a closed egg. The aim of the invention is to specify a method for the in-ovo fertilisation determination and gender determination on a closed egg. This aim is achieved by a method in which a closed egg is positioned, candled and/or illuminated, next an image of the closed egg is recorded, then the captured data are evaluated and the position of the cardiovascular system located in the egg is calculated. A detection unit is adjusted via the calculated position of the cardiovascular system by means of a positioning unit and subsequently the blood is stimulated, then the blood-specific and blood-foreign absorption spectra are detected and selected, the fertilisation is ascertained and then the spectra containing blood-foreign information are compensated by a compensation method and the spectra are classified for sex determination.

A gait pathology detection and monitoring system, and method using rotation, scale, and offset invariant dynamic time warping (RSOI-DTW).