Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...

Abstract: Clouds, such as Amazon Infrastructure-as-a-Service (IaaS) clouds and EMC Hybrid Cloud, impose growing requirements of resource-efficiency scheduling. The bounded flexible scheduling (BFS) ...

Fusion energy has always had a tritium problem. The fuel that powers every leading reactor design barely exists on Earth in usable quantities, and the best candidate for breeding it inside a reactor — ...

Zoraptera, also known as angel insects or ground lice, are tiny termite-like insects generally found underneath bark or in ...

Abstract: One of the most natural optimization problems is the k-SET PACKING problem, where given a family of sets of size at most k one should select a maximum size subfamily of pairwise disjoint ...

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...

Researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, Northeastern University, Google ...

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

Shor’s algorithm for factoring RSA-2048 (and related problems like elliptic-curve discrete logs) has seen dramatic reductions ...

Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Understanding how firms build their capabilities, such as managerial skills, technology adoption and innovation capacity, is ...