In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Machine learning extracts information from data based on supervised and unsupervised learning methods. This includes understanding image content, spoken language, printed language, and large data sets ...

This need for training data is driving innovation in process sensors, says Govind Rao, PhD, who is director of the Center for Advanced Sensor Technology at the University of Maryland, Baltimore ...

Sensor fusion contains two main phases: the (1) extraction of information, and the (2) combination of information to derive a result. This is illustrated in figure 2. Fig. 2: Sensor fusion processing ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

NEW ORLEANS —A noninvasive device using a radiofrequency sensor may be able to measure glucose levels for people with diabetes in the future, according to a speaker at the AACE Annual Meeting.In ...

Along with the signal processing unit, the SC1240AR3 contains multiple antennas, wireless circuitry, an 11-bit oversampling ADC, FIFO memory, and SPI interface. An integrated sequencer flexibly ...