To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...

Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...

Wolfram-like attention framing meets spiking networks: event-triggered, energy-thrifty AI that “wakes” to stimuli.

Abstract: Accurate short-term predictions of active mode traffic are crucial for effective urban traffic control and management, helping to reduce delays, stops, and improve travel time reliability, ...

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...

Apple’s “App Intents” and Huawei’s “Intelligent Agent Framework” allow the OS to expose app functionalities as discrete ...

Abstract: This paper focuses on representation learning for dynamic graphs with temporal interactions. A fundamental issue is that both the graph structure and the nodes own their own dynamics, and ...