We use heuristics all the time across many systems including those that are critical to production services. Production systems use heuristics because they are faster or scale better than their ...

Abstract: This letter presents an efficient design technique for optimizing parameters on antenna designs by using a heuristic single core sampling inertia-weight-enhanced particle swarm optimization ...

We are currently in the Fifth Industrial Revolution, driven by the fast and widespread adoption of AI. Like industrial revolutions before, the way we work is drastically changing, and we can unlock ...

Abstract: This paper introduces a hybrid optimisation framework that integrates Genetic Algorithms (GAs) and Reinforcement Learning (RL) for the construction of high-order Runge–Kutta (RK) schemes.

We combine Mixed-Integer Programming (MIP) with Machine Learning to find near-optimal portfolios efficiently: maximize: μᵀw - λ·(wᵀΣw) - transaction_costs(w ...

A lightweight, in-memory analytical database engine that processes CSV files using relational operators and query optimization techniques. This system implements core database concepts including the ...

It’s the most transparent estimate yet from one of the big AI companies, and a long-awaited peek behind the curtain for researchers. Google has just released a technical report detailing how much ...

Have you ever spent hours wrestling with messy spreadsheets, trying to clean up data that just won’t cooperate? Or maybe you’ve found yourself manually merging files, painstakingly copying and pasting ...

A patent recently filed by Google outlines how an AI assistant may use at least five real-world contextual signals, including identifying related intents, to influence answers and generate natural ...