RIST thereby demonstrates its commitment to implementing the principles of the European Charter for Researchers and joins a select community of European universities, research organizations, and funders
read moreArtificial intelligence & machine learning are a strategic focus of our institute. We are looking forward to collaborations with companies on applied machine learning.
read moreOur scientist Oana Teodora Moldovan contributed to the study of the genomes of the oldest modern humans discovered in Europe. They had Neanderthal ancestors, which suggests that interbreeding between modern humans and Neanderthals was more common than previously thought. The results were published in Nature, one of the two most prestigious scientific journals in the world.
read moreThe Loihi chip implements in hardware “synaptic eligibility traces”, components of a learning rule developed by RIST’s Răzvan Florian, which allow the implementation of this learning rule on the chip.
read moreOur institute supported, as partner, the first edition of the Transylvanian Machine Learning Summer School (TMLSS), which took place in Cluj, Transylvania, Romania in July 16-22, 2018. The focus of school was on Deep Learning and Reinforcement Learning. The school was organized by machine learning researchers from DeepMind (Răzvan Pașcanu, Viorica Pătrăucean), Romanian Institute of Science and Technology (Luigi Malagò, Răzvan Florian), and McGill University & DeepMind (Doina Precup).
read moreOur scientists have worked on mathematical and network theoretical models that contribute to preventing relapse in alcohol addiction.
read moreJames Watson has been awarded the 1962 Nobel Prize in Physiology or Medicine for his contribution to the discovery of the molecular structure of nucleic acids and its significance for information transfer in living material.
read moreCătălin Rusu and Răzvan Florian have developed a series of several new metrics for quantifying the differences between spike trains. The new metrics are inspired by the Pompeiu-Hausdorff distance.
read moreVasile V. Moca, Raul C. Mureșan and colleagues have recently shown that membrane resonance, a property of inhibitory neurons, may hold the key to the emergence of robust and stable gamma oscillations in the brain.
read moreRIST’s scientist Marius F. Danca and his colleagues have discovered that the Mandelbrot set is not only the set of complex plane points for which Julia sets are connected, but also the set of all parameter values for which alternated Julia sets are disconnected.
read moreRăzvan Florian has shown how neurons can learn to process and memorize information that is entirely temporally coded, both as input and as output, in the precise timings of spikes.
read moreRIST’s Marius F. Danca has found that if the control parameter p, of a continuous-time nonlinear system belonging to a large class of systems, is switched within a set of chosen values in a deterministic or even random manner, while the underlying model is numerically integrated, the obtained attractor is a numerical approximation of one of the existing attractors of the considered system.
read moreOur scientists have found that the internal timescale of the brain, i.e., the time window needed by neurons to encode a given aspect of the visual stimulus, is tightly correlated to the external timescale of the visual stimulus, i.e., the speed with which the visual image on the retina changes.
read moreThe institute’s scientists have developed a special visualization technique for how multiple neurons fire spikes together to encode information, by representing the identity of firing patterns of multiple neurons with color sequences.
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