Abstract: This research demonstrated the machine learning (ML) classifiers with regression learning to improve an optical system’s quality of transmission (QoT). In Optical Communication, the data can ...
Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...
An engineer for New York Times Games has been trying to teach artificial intelligence to understand wordplay more like a ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...
NTT Research, Inc ., a division of NTT (TY;9432), today announced that members of its Physics & Informatics (PHI) Lab, in ...
Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...
Abstract: Wireless Sensor Networks (WSNs) offer a powerful technology for sensing and transmitting data across vast geographical regions. However, limitations inherent to WSNs, such as low-power ...
Choosing the right blueprint can accelerate learning in visual AI systems. Artificial intelligence systems built with biologically inspired structures can produce activity patterns similar to those ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
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