AI researcher Anmol Aggarwal explains how fairness-aware pricing algorithms can reduce hidden bias without major revenue loss ...

CES 2026 -- Cerence Inc. (NASDAQ: CRNC) (“Cerence AI”), a global technology leader in conversational AI-powered user experiences, today announced that Geely Auto will deploy Cerence xUI™, the ...

Abstract: Expensive constrained optimization problems are prevalent in many engineering domains, where evaluating objective and constraints requires costly simulations or physical experiments. As ...

The investment seeks to achieve long term capital growth. The fund seeks to achieve its investment objective through a fully managed investment policy utilizing global equity securities. For purposes ...

Join order optimization is among the most crucial query optimization problems, and its central position is also evident in the new research field where quantum computing is applied to database ...

How do you optimize to have content featured in AI? Whether it’s ChatGPT, Google Gemini, Meta’s LLaMa, Grok, Microsoft’s Claude, or Perplexity AI, the challenge is understanding how these systems ...

Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.

From Iran to Capitol Hill, President Trump is governing as if he believes all the constraints that limited him during his first term have collapsed. He may be right in that assessment. But if he is, ...

The HVAC system of public buildings, as a thermostatically controlled load, accounting for a relatively significant proportion of building energy consumption. Therefore, it is necessary to optimize ...

Schug discusses the role of surrogate modelling in chromatographic method development and process optimization. Surrogate modelling is emerging as a powerful tool in chromatographic method development ...