Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

OpenAI says its deep learning systems are rapidly advancing, with models increasingly able to solve complex tasks faster. So fast, in fact, that internally, OpenAI is tracking toward achieving an ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

In the current climate, generic and expensive programs to promote diversity, equity, and inclusion—for example, trainings—are increasingly falling out of favor. In fact, most of the existing research ...

Real-time routing helps fleets avoid delays, cut fuel costs, and improve on-time deliveries. AI streamlines warehouse check-ins, reducing bottlenecks and improving operational efficiency. Smarter ...

Mathematical programming – the task of expressing operations and decision-making problems in precise mathematical language – is fundamental across domains, yet remains a skill-intensive process ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...

Lam Research exceeded expectations in Q3 FY25, driven by strong demand for its ALTUS Halo and Akara systems and operational excellence from its 'Close to the Customer' strategy. Financial results were ...

Abstract: In order to realize load trimming and valley filling and balance load peak and valley power difference in real time, this paper combines the different power generation characteristics of new ...