New Framework Examines How Neural Networks Learn To Label Genomic Data
Introducing Annotatability—a powerful new framework to address a major challenge in biological research by examining how ...
AZoAI on MSN1d
How Artificial Neural Networks Are Learning From Lab-Grown Brains
Researchers at Tohoku University used microfluidic devices to create directional connections in lab-grown neuronal networks, ...
Frontiers8d
Spiking Neural Networks: Enhancing Learning Through Neuro-Inspired Adaptations
In the domain of neural computation, Spiking Neural Networks (SNNs) are distinguished by their unique, biologically informed ...
EurekAlert!1d
How do directional connections shape complex dynamics in neuronal networks?
In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal ...
Expert tips on choosing the right AI course for your learning needs
Are you planning to learn AI skills in the new year? How can you be sure the course, workshop, or class is right for you?
devdiscourse5d
Beyond the algorithms: Deep learning transforming financial landscapes
As the financial industry becomes increasingly data-driven, the integration of DL technologies will be essential to navigate ...
circuitdigest.com12d
AI Meets Rocketry: A Self-Learning Neural Network For Thrust Vector Control
A fully self-training, neural network-based thrust vector control (TVC) system that promises smarter and more efficient ...
Neuroscience Breakthrough: In-Vitro Neurons Exhibit Advanced Brain-Like Behavior
Tohoku University scientists created lab-grown neural networks using microfluidic devices, mimicking natural brain activity ...
Introducing HORNET, a novel RNA structure visualization method that correlates sequence and 3D topology
National Cancer Institute researchers have developed a method called HORNET for characterizing 3D topological structures of large and flexible RNA molecules. Scientists used atomic force microscopy ...