INFERENCE ECONOMICS: A NEW PARADIGM FOR THE ECONOMICS OF ARTIFICIAL INTELLIGENCE
Published in: Working Paper
Apr 02, 2026
We introduce Inference Economics as a new subfield of economics organized around the production, pricing, and consumption of AI inference tokens — the fundamental digital commodity that provides access to artificial intelligence capabilities. As frontier AI models from oligopolistic providers (OpenAI, Anthropic, Google, xAI) become as foundational to production as electricity was in the early twentieth century, a new economics is required to understand how tokens are produced, priced, consumed,...
An optimized SDN framework for the internet of things
Published in: Discover Computing
Jan 01, 2026
Zina houhamdi
mohamed Raid Athamena
Belkacem Athamena
Shorouq F. Eletter
Low-power wireless networks (LPWN) have traditionally been central to the Internet of Things (IoT) discussion. Nevertheless, as these networks grow more complex, their control architectures and protocols reveal significant limitations, particularly when dealing with multi–hop topologies and lossy channels. To tackle these challenges, there has been growing interest in adopting Software–Defined Networking (SDN), which has revolutionized data center and campus network management over the past dec...
Automatic speech emotion recognition for arabic dialects: a new dataset and machine learning framework
Published in: Cluster Computing
Jan 01, 2026
Automatic Speech Emotion Recognition (ASER) is a critical aspect of affective computing, which detects emotions in speech to facilitate efficient human-computer interaction. An area that has received little attention in previous research is the Algerian Arabic dialect, which is the setting in which this study examines ASER. We introduce a new corpus, Open Your Heart (OYH), which consists of roughly 6.3 hours of emotional spontaneous speech taken from a talk show on television. A wide variety of...