An artificial neural network based entirely on memristors is developed.
Results for "Machine learning"
Deep Learning for RNA-Protein Interaction Prediction
Hundreds of RNA‐binding proteins and their associated RNAs have been revealed, which enables the large‐scale prediction of RNA–protein interactions using machine learning methods.
Beta’s Draft: A Human Review of a Machine-generated Book
Springer Nature have published a work written by AI.
Human Intelligence and Experiential Learning in Materials Discovery
Climbing these steps of the materials discovery ladder requires embracing a vast body of experiential knowledge accumulated over years of first-hand experimental and theoretical learning.
Learning from Ants
A calculation method based on a natural phenomenon helps to optimize lightweight laminates.
Self-Learning Chip Composes Music
A brain-inspired, neuromorphic chip has the capability of self-learning and has been demonstrated the ability to compose music.
Organic materials bring probabilistic computing closer to reality
Scientists created flexible probabilistic bits from custom polymers, offering a new, energy-efficient path for AI and machine learning using classical physics.
What would it take to make quantum memristors a reality?
Machine learning unveils the ideal structure of a quantum memristor, which could one day surpass current computing systems.
How Internet of Things could help stave off a food crisis
With innovations in biosensors, Internet of Things, and machine learning, a collective effort could offer a way to overcome an impending shortage.
Stick insects move robotics forward
Researchers use stick insect locomotion as inspiration for machine learning approaches to teaching robots how to walk.
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