TICONDEROGA, N.Y. (NEWS10) — A 250-year-old knapsack is on display at Fort Ticonderoga. Carried by a Revolutionary War soldier, it was passed down through generations with a note urging to “never ...
A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...
Based on: "Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection" | Yuan, Pahwa, Chang et al. | arXiv:2510.16499 | NeurIPS 2025 Key Finding: A Composer Agent using ...
This study proposes an enhanced Black-kite Algorithm (BKA), termed SMNBKA-ICMIC, to improve optimization performance. The algorithm introduces four key improvements: ICMIC-based initialization to ...
The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...
Predictive artificial intelligence (AI) hiring systems (AHSs) are used by employers every day to screen and shortlist job candidates. But while AI hiring systems promise time and cost savings for ...
The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...
Combinatorial optimisation for knapsack problems addresses the challenge of selecting discrete items to maximise value under capacity constraints. Such problems are central to resource allocation, ...
Abstract: The Knapsack Problem (KP) is a renowned combinatorial optimization challenge, recognized for its NP-hard complexity. This characteristic renders large-scale KP instances resistant to ...
Elon Musk said Jack Dorsey was right about social media algorithms. On Wednesday, Musk highlighted a video of Dorsey talking about the free speech debate. Dorsey envisioned “a marketplace of ...
The knapsack problem is a fundamental challenge in combinatorial optimization and a crucial topic in algorithm design and analysis. It involves a set of items, each with a specific weight and value, ...
Abstract: The multiple-choice knapsack problem (MCKP) is a classic NP-hard combinatorial optimization problem. Motivated by several significant real-world applications, this work investigates a novel ...
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