Researchers who want to bridge the divide between biology and technology spend a lot of time thinking about translating between the two different “languages” of those realms. “Our digital technology operates through a series of electronic on-off switches that control the flow of current and voltage,” said Rajiv Giridharagopal, a research scientist at the University … Read more
Artificial Neural Networks (ANNs) represent a cornerstone in the field of artificial intelligence, drawing inspiration from the structure and function of the human brain. These computational models, composed of interconnected nodes and layers, have become instrumental in solving complex problems, learning patterns from data, and making predictions. Understanding the intricacies of artificial neural networks involves … Read more
In a recent study conducted by SISSA and published in the journal Science Advances, researchers have unveiled the fascinating mechanisms behind rats’ ability to accurately perceive the direction of moving objects. This unique skill is attributed to a specific cluster of visual neurons within the rat brain, resembling the “pattern cells” found in the cerebral … Read more
Many AI systems rely on neural networks, which are algorithms inspired by the structure of biological neurons in the brain. These networks can be multi-layered, taking inputs on one end and producing outputs on the other. These outputs are vital for automated decision-making, such as in self-driving cars. In the realm of neural network security, … Read more
Researchers at the RIKEN Center for Quantum Computing have harnessed machine learning to tackle a crucial aspect of quantum computing – error correction. Their innovative autonomous correction system, despite its approximations, efficiently identifies the best methods to rectify errors in quantum computers. Unlike classical computers, which rely on binary bits (0s and 1s), quantum computers … Read more
Scientists have achieved a significant breakthrough in the field of artificial neurons by developing atomically thin versions capable of processing both light and electric signals. These ultra-thin neurons, created through the stacking of two-dimensional materials, offer enhanced computational capabilities and can handle complex problem-solving tasks. The integration of feedforward and feedback pathways, crucial for cognitive … Read more