Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Three Opinion writers break down the former vice president’s book of excuses. By Michelle Cottle Carlos Lozada and Lydia Polgreen Produced by Vishakha Darbha Three Opinion writers weigh in on Kamala ...

Addis Ababa, September 17, 2025 (ENA)-- Prime Minister Abiy Ahmed’s latest book, “The Medemer State,” provides not only a comprehensive analysis of Ethiopia’s challenges but also offers practical ...

The “There appears to be a problem with the payment method” error appears when Netflix cannot complete your monthly charge with the payment details saved on your ...

It did not escalate... It is not Indians who went to Pakistan to create a problem, it is the Pakistanis who came to India to create a problem. They were identifying people with religion. This is ...

Abstract: Network utility maximization (NUM) addresses the problem of allocating resources fairly within a network and explores the ways to achieve optimal allocation in real-world networks. Although ...

Something quite unusual happened in Ethiopia recently that prompted many Nigerians on social media to raise the poser: “God, when?” The Commercial Bank of Ethiopia, which is the largest in the country ...