For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Pratyosh Desaraju secures German utility patents for AI systems that automate legacy system enhancement and detect ...
18hon MSN
Key to human intelligence lies in how brain networks work together, neuroimaging study suggests
Modern neuroscience understands the brain as a set of specialized systems. Aspects of brain function such as attention, ...
Yann LeCun helped create the technology behind today’s chatbots. Now he says many tech companies are on the wrong path to ...
Scientists have found that the human brain understands spoken language in a surprisingly similar way to advanced AI systems.
A popular technique for studying brain disorders, known as lesion network mapping (LNM), appears to have a fundamental ...
GreenScale: Multi-Objective Autoscaling for SLA, Cost, and Energy Efficiency in Cloud-Native Systems
Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...
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