-
inference, computational model, neuromorphic artificial intelligence, generative model, neural data analysis Our lab website: Brain Intelligence Theory Unit, Isomura Lab https://unifiedtheory.jp/en
-
methods to large-scale, complex problems. Here we aim to establish science for prediction and control for large and complex real-world problems. Human society is facing difficult problems like environmental
-
. Specifically, we identify novel central metabolic pathways in non-model organisms. We then rationalize the differences by considering the habitats, intracellular physicochemical conditions, and metabolic context
-
Community Climate Model G.Experimental study of multi-nucleon forces explored through few-nucleon scattering H.Studies on hadron and nuclear systems utilizing mesons or muons. I.Beam simulation of high
-
simultaneous recording of brain activity from two or more individuals. The successful candidate will work on developing experimental paradigms that model real-world social interactions, with a particular focus
-
, and system architectures for large language model (LLM) inference serving that achieve low latency and high bandwidth with minimal energy consumption. For more information about the research team
-
succeeds in achieving complex and scalable functionality in our society. Through this approach, we will establish modern quantum computer systems and software engineering in the field of quantum computation
-
of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and
-
applicants will likely work on the development and/or application of new statistical techniques in one of the following areas, depending on suitability and interest: - Improving admixture modelling across