Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

This project allows users to work with advanced portfolio optimization using natural language, without writing code. It provides 9 specialized MCP tools covering everything from classic mean-variance ...

Overview:  Quantified achievements boost interview chances 15 times. Lead with metrics such as a 30% churn reduction.ATS optimization is non-negotiable. 90 ...

According to Jeff Dean on Twitter, concrete examples of various AI performance optimization techniques have been provided, including high-level descriptions from a 2001 set of changes. These examples ...

Depending on the position, the summer job can last for 3- 4 months and is carried out between May and September 2026. Please note that these summer job positions are available for B.Sc. or M.Sc.

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...

The Simulated Bifurcation (SB) algorithm is a fast and highly parallelizable state-of-the-art algorithm for quadratic combinatorial optimization inspired by quantum physics and spins dynamics. It ...

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...

Abstract: This paper introduces CausalBO, a Python package developed to enhance the applicability and utility of the Causal Bayesian Optimization (CBO) algorithm. The original CBO algorithm, developed ...