Sort by
Refine Your Search
-
, such as algorithms and learning theory, alongside applied technologies, such as machine learning, pattern recognition, and perceptual information processing, in addition to the classical theory of
-
the complete event reconstruction and systematic uncertainty estimation pipeline for Super-Kamiokande. Reduction of Super-Kamiokande systematic uncertainties using machine learning, control samples
-
in AI, machine learning, and high-performance computing, uses molecular dynamics, coarse-grained simulation, and multiscale analysis to elucidate structural formation, dynamics, and the mechanisms
-
systems for visual and spatial intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling
-
established strengths in fluid simulation and molecular dynamics simulation while strengthening next-generation simulation science that spans both fields, in response to advances in AI, machine learning, and
-
various functions of HPC systems, such as resource scheduling, electrical power control, program execution, etc. For these, aims to “mutually improve AI/machine learning and high-performance
-
in Japan and internationally. [Keywords] Quantum Computing,Quantum Machine Learning,Quantum Networks * details of the business RIKEN is Japan's largest and most comprehensive research organization for
-
change. In addition to numerical simulations using models based on fluid-dynamics, research employing mathematical, statistical or machine learning method, as well as experimental research using the
-
(PIs) in one of the three fields below. I. AI-driven Genomic and Information Science ◦ Advance data-driven life science research that leverages AI and machine learning, underpinned by large-scale genomic
-
quantification, and constraints into machine learning for optimization. 3.Integration of AI into science codes: improving model serving, scalability, and resource utilization of LLMs for real-time and