Decision-making often involves trial and error, but conventional models assume we always act optimally based on past ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

The potential for these kinds of machines to reshape computer processing, increase energy efficiency, and revolutionize ...

Waterfall Network is a layer-1 protocol that implements a Directed Acyclic Graph (DAG) as its foundational ledger. A DAG is a ...

Researchers reveal how modeling the human brain’s hidden wiring could push AI beyond its current limits into human-like ...

Renesas’ RA8P1 AI MCU combines Arm Cortex-M85 and M33 cores with the Ethos-U55 NPU, delivering AI performance up to 256 GOPs.

This paper provides a detailed analysis of Graph Neural Network (GNN) methodologies, emphasizing their architectural diversity and wide ranging applications. GNN models are systematically categorized ...

Summary: Our brain doesn’t just record time—it organizes our lives into distinct, memorable moments. New research reveals that neurons in the lateral entorhinal cortex generate unique “jumps” in ...

Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...