The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
AZoRobotics on MSN
What if robots could smell danger before we see it?
Advanced electronic noses and algorithms are transforming robotic olfaction, enabling machines to detect odors for improved ...
The final, formatted version of the article will be published soon. The positioning of offshore small maritime unmanned vehicles (SMUVs) is affected by ocean winds and waves. On the one hand, they ...
New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI ...
Degradable pacemakers and artificial neurons showcase how flexible, tissue-compatible electronics are revolutionising medicine. But translating these materials from lab bench to clinic requires solvin ...
While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...
Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...
The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
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