Abstract: Multiagent meta reinforcement learning (MAMRL) enables multiagent systems (MASs) to adapt to multiple tasks. However, partial observability poses a significant challenge by hindering ...
High school science teachers can design tasks that not only develop students’ science skills but also change how they see ...
Hosted by the Wu Tsai Neurosciences Institute, professor Dani Bassett’s talk explored how neurological approaches to human behavior can allow us to modify our real-world information systems.
FedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting ...
Fudan University's new guidelines specify that course teaching teams can use AI to optimize course module divisions, learning ...
Fudan University's new document specifies that course teaching teams can use AI to optimize course module divisions, learning task designs, and activity process arrangements, creating a more cohesive ...
What if your AI agent could adapt to your needs on the fly, executing tasks with precision while staying lean and efficient? That’s the promise of using skills with Deep Agent CLI—a modular approach ...
Motor imagery (MI) electroencephalogram (EEG) decoding plays a critical role in brain–computer interfaces but remains challenging due to large inter-subject variability and limited training data.
Bolgatanga, Nov. 23, GNA – Thirty-six lecturers of the Bolgatanga Technical University (BTU) have received training on how to tap resources from International Business Machines Corporation (IBM) ...
Interested in bringing AI into your teaching? Reach out to our team to discover how you can incorporate AI tools and methods into your courses.
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