Initiatives & Trends

For our May 2015 issue, we cover recent patents granted in the area of visual gait recognition. The section below covers patents granted recently for gait recognition technologies in computer generated reality, visual behavior recognition, access management and motion classification.

For our April 2015 issue, we cover recent patents granted in the area of wavelet analysis. The section below covers patents granted recently for seismic data analysis, image stream compression, audio identification, continuous wavelet estimation, multidimensional data analysis, motion tracking, dispersion measurement, time domain network analysis, and video fingerprinting.

For our March 2015 issue, we cover recent patents granted in the area of Deep Lerning techniques. The section below covers patents granted recently for natural language processing, research of neural networks, correlation analysis between data streams, document analysis and medical image enhancement.

Deep learning is becoming an important AI paradigm for pattern recognition, image/video processing and fraud detection applications in finance. The computational complexity of a deep learning network dictates need for a distributed realization. The big data lab at Impetus, led by Dr. Vijay Srinivas Agneeswaran, has built the first prototype of the distributed deep learning network over Apache Spark. They have parallelized the training phase of the network and consequently reduced training time.