Using Unstructured Content For Agentic AI: A Big Enterprise Bottleneck

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.
Frontiers

Human intention recognition by deep LSTM and transformer networks for real-time human-robot collaboration

Humanoid and Cognitive Robotics Laboratory, Department of Automatics, Biocybernetics, and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia Collaboration between humans and robots is essential for ...
Kaleido Scope

Deep brain stimulation: Relief for movement disorders

Deep brain stimulation is a surgical brain therapy used to treat symptoms of movement disorders such as dystonia, Parkinson’s disease and epilepsy. Performing over 100 DBS procedures annually, the ...
IEEE

Handwritten Text Recognition Using Deep Learning Techniques

Abstract: “HANDWRITING RECOGNITION” has generated a lot of attention in the realms of pattern recognition and machine learning due to its applicability in a variety of disciplines. Both optical ...
Science Daily

Researchers use deep learning to predict flooding this hurricane season

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...