Concept
Superintelligence
Related publications (17)
Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation
Machine learning (ML) enables artificial intelligent (AI) agents to learn autonomously from data obtained from their environment to perform tasks. Modern ML systems have proven to be extremely effective, reaching or even exceeding human intelligence.Althou ...
EPFL2024Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions
Florent Evariste Forest, Yunhong Che
Battery health prediction is significant while challenging for intelligent battery management. This article proposes a general framework for both short-term and long-term predictions of battery health under unseen dynamic loading and temperature conditions ...
Ieee-Inst Electrical Electronics Engineers Inc2024Re-focusing explainability in medicine
Using artificial intelligence to improve patient care is a cutting-edge methodology, but its implementation in clinical routine has been limited due to significant concerns about understanding its behavior. One major barrier is the explainability dilemma a ...
2022Exploiting environmental signals to enable policy correlation in large-scale decentralized systems
Boi Faltings, Zeki Doruk Erden, Panayiotis Danassis
Can artificial agents benefit from human conventions? Human societies manage to successfully self-organize and resolve the tragedy of the commons in common-pool resources, in spite of the bleak prediction of non-cooperative game theory. On top of that, rea ...
SPRINGER2022Improved Cooperation by Exploiting a Common Signal
Boi Faltings, Zeki Doruk Erden, Panayiotis Danassis
Can artificial agents benefit from human conventions? Human societies manage to successfully self-organize and resolve the tragedy of the commons in common-pool resources, in spite of the bleak prediction of non-cooperative game theory. On top of that, rea ...
International Foundation for Autonomous Agents and Multiagent Systems2022Automated Design: A Journey Across Modelling, Optimization, and Education
Machine intelligence greatly impacts almost all domains of our societies. It is profoundly changing the field of mechanical engineering with new technical possibilities and processes. The education of future engineers also needs to adapt in terms of techni ...
EPFL2021Adaptive Social Learning
Ali H. Sayed, Virginia Bordignon
This work proposes a novel strategy for social learning by introducing the critical feature of adaptation. In social learning, several distributed agents update continually their belief about a phenomenon of interest through: i) direct observation of strea ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021Strengthened Information-theoretic Bounds on the Generalization Error
Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa
The following problem is considered: given a joint distribution P XY and an event E, bound P XY (E) in terms of P X P Y (E) (where P X P Y is the product of the marginals of P XY ) and a measure of dependence of X and Y. Such bounds have direct application ...
IEEE2019mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation
José del Rocio Millán Ruiz, Luca Randazzo, Inaki Asier Iturrate Gil, Serafeim Perdikis
Hand sensorimotor impairments are among the most common consequences of injuries affecting the central and peripheral nervous systems, leading to a drastic reduction in the quality of life for affected individuals. Combining wearable robotic exoskeletons a ...
Ieee-Inst Electrical Electronics Engineers Inc2018Review of Advances in Neural Networks: Neural Design Technology Stack
Yusuf Leblebici, Stanislaw Andrzej Wozniak
This review provides a high-level synthesis of significant recent advances in artificial neural network research, as well as multi-disciplinary concepts connected to the far-reaching goal of obtaining intelligent systems. We assume that a global outlook of ...
Elsevier2016