Research in the International Journal of Computational Intelligence Studies has examined how we might improve artificial intelligence (AI) systems for interpreting human emotion in written communication. A new system is capable of identifying sentiment not only in broad terms, positive, negative, and neutral, but also at a more detailed, aspect-specific level.

To get the best out of AI, some users tell it to provide answers as if it were an expert. Others ask it to adopt a persona, such as a safety monitor, to guide its responses. However, this approach can sometimes hurt performance, according to a study available on the arXiv preprint server.

Amid the rapid expansion of artificial intelligence and the debate on how it should be regulated, research by the Universitat Oberta de Catalunya (UOC) examines a key question: who sets the rules and through what infrastructure. The article, published in the journal AI & SOCIETY, is authored by UOC doctoral researcher Andreu Belsunces Gonçalves, from the CNSC research group, and Laura Forlano, from Northeastern University in Boston (United States). The study analyzes how certain technological initiatives not only provide services but also promote governance models based on private digital identity and biometric data systems.

As AI processing demands reach the limits of current CMOS technology, neuromorphic computing—hardware and software that mimic the human brain's structure—can help process information faster and more efficiently. A new memristor made from 2D layers of bismuth selenide (Bi2Se3) combines long-term data retention and analog tuning to enhance AI energy efficiency and processing speed.

OpenAI is shutting down its social media app Sora, which went viral last fall as a place to share short-form videos generated by artificial intelligence but also raised alarms in Hollywood and elsewhere.