IEEE

A Co-Evolution Algorithm With Dueling Reinforcement Learning Mechanism for the Energy-Aware Distributed Heterogeneous Flexible Flow-Shop Scheduling Problem

Abstract: The production process of steelmaking continuous casting (SCC) is a typical heterogeneous distributed manufacturing system. The scheduling problem in heterogeneous distributed manufacturing ...
IEEE

An Iterated Greedy Algorithm With Reinforcement Learning for Distributed Hybrid Flowshop Problems With Job Merging

Abstract: The distributed hybrid flowshop scheduling problems (DHFSPs) widely exist in various industrial production processes, and thus have received widespread attention. However, the existing ...
Mid Day

Maa Ka Sum: Mona Singh, Mihir Ahuja's series explores mother-son bond through algorithms

Prime Video today announced April 3 as the worldwide premiere date of its Prime Original lighthearted drama Maa Ka Sum. Directed by Nicholas Kharkongor and produced by Babita Ashiwal under the banner ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...