Human coordination is bottlenecked by a terrible algorithm. When a DAO, a corporation, or a nation-state makes a decision, it relies on "manual feature engineering" like committees and vibes-based ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

Abstract: To avoid frequent route discovery, various multipath routing protocol has been proposed based on the existing single path routing protocol in ad hoc networks. Ad hoc on-demand multipath ...

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...

ABSTRACT: With the deepening of global economic integration, maritime logistics has become the core pillar of international trade, carrying more than 80% of global trade volume. Among the factors ...

In trading, discussions often center on strategies, indicators, or market predictions. Yet behind the numbers lies a quieter factor that often determines whether a system can endure: position sizing.

A new technical paper titled “Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration” was published by researchers at Purdue University and ...

When the maritime trade union Nautilus International asked memberswhat they thought of AI at a forum in January, there was some positive sentiment: “We shouldn’t automatically assume there will be ...

Abstract: Since ad hoc network does not rely on existing infrastructure and is self-organized, the nodes on such network act as hosts and routers to transmit packets. With its intense change in ...

ABSTRACT: This study proposes a decentralized urban traffic optimization approach by integrating Dijkstra’s algorithm with edge computing. The system models road networks as dynamic graphs, using real ...