Abstract: In this letter, classification of various human activities based on micro-Doppler signatures is studied using linear predictive coding (LPC). LPC is proposed to extract the features of micro ...

Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...

DVS Camera │ Event Accumulator ──→ Event Frame [H×W] │ SNN Detector (LIF layers) │ Kalman Tracker ──→ (cx, cy, confidence) │ Output / Control Signal The entire processing pipeline is event-driven — ...

The unconscious brain appears to be far more capable than scientists once believed. Researchers found that patients under ...

The body does not keep the score: trauma, predictive coding, and the restoration of metastability Read original article ...

Wedbush research analyst Dan Ives recently initiated coverage on Space Exploration Technologies (NASDAQ: SPCX), marking a ...

Not matter how long I spent coding, it was time to go.

The Wedbush analyst initiated coverage of SpaceX stock with a $190 price target.

Summary: A high-resolution neuro-imaging study demonstrated that the human brain and Large Language Models (LLMs) organize and predict language using deeply parallel information processing principles.

For years, artificial intelligence has been framed as a contest over intelligence itself. Public discussion has focused on increasingly capable chatbots, image generators and large language models.

A new study led by researchers at Baylor College of Medicine suggests human brain can perform surprisingly under anesthesia ...

Hope is supposed to carry you through fertility treatment. But repeated cycles can turn hope into a threat. You will find out why, and what grounded hope looks like instead.