A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by researchers at Politecnico di Milano. “Executing Spiking Neural Networks (SNNs) on ...
The graph coloring problem involves coloring the nodes of a graph using the minimum number of colors such that no two adjacent nodes share the same color. This NP-hard problem has various real-world ...
The country’s top internet regulator, the Cyberspace Administration of China (CAC), requires that any company launching an AI tool with “public opinion properties or social mobilization capabilities" ...
You chose selected. Each dot here represents a single video about selected. While you’re on the app, TikTok tracks how you interact with videos. It monitors your watch time, the videos you like, the ...
Simultaneous localization and mapping (SLAM) is widely used in autonomous driving, augmented reality, and embodied intelligence. In real-world settings, sensor measurements often suffer from ...
Google’s June 2025 Core Update just finished. What’s notable is that while some say it was a big update, it didn’t feel disruptive, indicating that the changes may have been more subtle than game ...
Data security involves implementing strategies to safeguard digital information against unauthorized disclosure and modification across computing and communication infrastructures. Given the ...
Abstract: Graph matching is a widely studied and applied field, with Graph Edit Distance (GED) serving as a fundamental metric for evaluating the similarity between graphs. As an NP-hard problem in ...
Summary: Populations of dopamine neurons don’t simply signal reward prediction errors—they encode rich maps of possible future outcomes, including when and how much a reward might be. This diverse, ...
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