As an AI-native Agentic AI-as-a-Service (AaaS) company, Appier today announced its latest research paper, On Calibration of ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Kristi Girdharry, Babson College (THE CONVERSATION) I was early to the generative AI ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

Abstract: Embodied intelligence, as an interdisciplinary frontier that integrates artificial intelligence and robotics, relies fundamentally on robust task planning capabilities to enable autonomous ...

Multi-agent task allocation plays a crucial role in achieving efficient collaboration in heterogeneous multi-agent systems, especially in complex and dynamic environments. However, existing ...

Bottom line: The economics of enterprise software are entering their most dramatic recalibration since the shift to the cloud. As autonomous AI agents begin to handle work once performed exclusively ...

Abstract: In order to improve students' information accomplishment and computer application skill, Task-driven teaching method is applied in the computer course. By designing tasks which are close to ...

Introduction In a rapidly evolving world shaped by digital transformation, digital technologies are increasingly being used in healthcare. To use them effectively, nursing staff, patients and their ...

The remarkable and personal story of how creator Brad Ingelsby and director Jeremiah Zagar were able to get inside the biker gangs that inspired "Task." ...