An intelligent AFM processing framework integrates optimized scanning trajectories, distortion correction, and deep learning segmentation to ...
Audio signal processing has experienced rapid evolution in recent years, driven largely by developments in deep learning. Modern approaches now harness neural network architectures to extract ...
The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
The course begins in January 2026, and students interested in learning about image recognition, speech recognition, and ...
Nagpur hosted the 4th International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning ...
AI-assisted signal debugging has broad impact across many domains.
Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...
Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...
Define feedforward networks, recurrent neural networks, convolutional neural networks, attention, and transformers. Implement and train feedforward networks, recurrent neural networks, convolutional ...
Deep learning enhances data pattern recognition, benefiting investment decisions. Investors should track firms investing in deep learning across sectors. Be aware of risks like data privacy and tech ...