New AI-powered travel assistants are streamlining European trip planning by automating itineraries, optimizing routes, and personalizing experiences. Academic research and commercial platforms alike ...
Abstract: Optimization problems in real-world applications often involve dynamic environmental changes, requiring algorithms to adapt quickly, track optimal solutions, and maintain efficiency.
Abstract: Influence Maximization (IM) is to select a subset of nodes from a social network such that the number of nodes influenced by this subset will be maximized. Due to the growing size of social ...
The way we tell computers what to do, through programming languages, has changed a ton. We’re going to take a look at the ...
Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...
The Evolution of Quantitative Trading in Digital Markets Financial markets have changed a lot with the rise of digital assets ...
Those changes will be contested, in math as in other academic disciplines wrestling with AI’s impact. As AI models become a ...
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 ...
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