Tag Archives: neural

[ad_1] Press release Monday, November 26, 2018 Neurons from an older part of the brain code decisions based on visual information. Scientists from the National Eye Institute (NEI) have found that upper …

[ad_1] Mercredi, Intel lance le Neural Compute Stick (NCS) 2, la deuxième version de son célèbre accélérateur d’intelligence artificielle autonome. Avec cette version, le NCS offre de meilleures performances, ainsi que de …

[ad_1] Researchers at Carnegie Mellon University have found a new and efficient way to characterize cell types following single-cell RNA sequencing (scRNA-seq). ktsdesign | Shutterstock The new method involves the use of …

[ad_1] Arizona State University researcher, James Abbas, is part of a multi-institutional research team that has developed a new prosthetic system with a fully implanted and wirelessly controlled neurostimulator, which has restored …

[ad_1] Artificial neural networks are machine learning systems composed of a large number of connected nodes called artificial neurons. Similar to the neurons of a biological brain, these artificial neurons are the …

[ad_1] A team of researchers led by Tufts University has developed three-dimensional (3D) human tissue culture models for the central nervous system that mimic the structural and functional features of the brain …

[ad_1] A team of researchers led by Tufts University has developed three-dimensional (3D) human tissue culture models for the central nervous system that mimic the structural and functional features of the brain …

[ad_1] A new Memristor improves the accuracy and efficiency of neural networks at the atomic scale Just like their biological counterparts, the material reproducing the neural circuits of the brain requires basic …

[ad_1] As artificial intelligence is becoming more sophisticated, it has inspired new efforts to develop computers whose physical architecture mimics the human brain. An approach, called reservoir computation, allows hardware devices to …

[ad_1] Researchers at the Tokyo Metropolitan University applied machine learning techniques to obtain fast and accurate estimates of local geomagnetic fields using data collected at several points of observation, potentially allowing the …