Abstract: In some implementations, a method includes retrieving data from multiple sensors in a computing device, and the multiple sensors comprise different types of sensors. The sensor data is analyzed based on a predictive model, and the predictive model is trained to detect malware. Initiation of malware is determined based on the analysis. In response to the determination, the malware is terminated.

Abstract: Described herein are methods, systems, and platforms comprising neural networks for control system anomaly detection.

Abstract: Described herein are methods, systems, and platforms comprising neural networks for control system anomaly detection.

Abstract: Gyroscope data can be used to generate upsampled signal. Multiple mobile devices are spaced apart from each other in a spatial arrangement. Each mobile device includes a gyroscope sensor to detect mechanical vibrations caused by signals originating within a vicinity of a mobile device that includes the gyroscope sensor. Each mobile device includes one or more respective processors to receive representations of the mechanical vibrations sensed by the gyroscope sensor at a sampling frequency, and transmit the representations received at the sampling frequency as a respective vibration signal associated with sampling times. The signal processor is coupled to the multiple mobile devices. The signal processor generates a processed upsampled signal by interleaving the vibration signal received from each mobile device and processing the interleaved signal using one or more machine learning filters, and transmitting the processed upsampled signal.

Abstract: In some implementations, a method includes retrieving data from multiple sensors in a computing device, and the multiple sensors comprise different types of sensors. The sensor data is analyzed based on a predictive model, and the predictive model is trained to detect malware. Initiation of malware is determined based on the analysis. In response to the determination, the malware is terminated.

Abstract: In some implementations, a method includes retrieving data from multiple sensors in a computing device, and the multiple sensors comprise different types of sensors. The sensor data is analyzed based on a predictive model, and the predictive model is trained to detect malware. Initiation of malware is determined based on the analysis. In response to the determination, the malware is terminated.

Abstract: In some implementations, a method includes retrieving data from multiple sensors in a computing device, and the multiple sensors comprise different types of sensors. The sensor data is analyzed based on a predictive model, and the predictive model is trained to detect malware. Initiation of malware is determined based on the analysis. In response to the determination, the malware is terminated.

Abstract: Determining a table output of a table representing a hierarchical tree for an integer valued function includes determining an address from a table input. A subset of a memory is selected according to the address, where the memory represents the hierarchical tree and the subset represents a subtree of the hierarchical tree. Bit fields are selected from the subset, and bits are extracted from the bit fields. A table output is determined from the extracted bits.