Abstract: Decoding emotion processing from electroencephalogram (EEG) signals is challenging yet promising. We investigate the use of Graph Neural Networks (GNNs) for interpreting EEG data.
Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
Most experimental brain-computer interfaces (BCIs) that have been used for synthesizing human speech have been implanted in the areas of the brain that translate the intention to speak into the muscle ...
A new study out this month from Stanford University researchers uses microelectrodes implanted in the motor cortex and generative AI to decode the intended and inner speech of four paralyzed patients.
We are living in a historic period where artificial intelligence (AI) machine learning provides the foundation to rapidly transform human health and wellness. A new peer-reviewed study by researchers ...
BingoCGN employs cross-partition message quantization to summarize inter-partition message flow, which eliminates the need for irregular off-chip memory access and utilizes a fine-grained structured ...
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