The predictive model that quantifies and puts a price on marketing and public‑relations actions is transforming the sector ...
Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.
Abstract: Sensor-based cattle monitoring is a growing field within precision livestock farming, where machine learning algorithms are used to detect health issues, monitor behavior, and improve ...
@article{chen2025diffusion, title={Diffusion forcing: Next-token prediction meets full-sequence diffusion}, author={Chen, Boyuan and Mart{\'\i} Mons{\'o}, Diego and ...
Abstract: This paper investigates the optimization of the No-Idle Permutation Flowshop Scheduling Problem (NIPFSP) with the aim of minimizing total energy consumption in manufacturing environments.