Professor Doheon Lee and Dr. Seunghyun Wang developed COSINET (COmmunity COhesion Scores in Individualized gene Network Estimated from single Transcriptomics data), which estimates individualized gene networks from a single gene expression profile and measures community cohesion scores.     As community cohesion plays a critical role in the determination of an individual’s health in social scien...

KAIST researchers developed a computational workflow to predict cancer-related metabolites and pathways using patient-specific metabolic models and somatic mutation data, aiding the identification of novel oncometabolites and advancing cancer treatment strategies     Cancer is characterized by abnormal metabolic processes that differ significantly from those of normal cells. Consequently, extensive re...

Memristors are semiconductor devices that can directly implement the characteristics of synapses and neurons, enabling the simple realization of energy-efficient neuromorphic semiconductors. KAIST researchers have developed ultra-low-power neuromorphic hardware for explainable AI (XAI) and an insect-inspired neuromorphic motion detection device by combining various functional memristor devices, thereby achieving ...

A new three-channel single-crystal dispersion interferometer enables measurements of abrupt and large changes in electron density – contributing to mitigate plasma disruptions in fusion reactors.   Plasma disruptions in a nuclear fusion device are phenomena in which the energy stored in the plasma is released abruptly, potentially causing damage to the fusion device. Therefore, future commercial fusi...

Researchers at KAIST have developed an optimization framework for SAEV systems that incorporates dynamic battery degradation models while also significantly lowering operational costs by accounting for battery degradation and enhancing driving performance and sustainability through reduced greenhouse gas emissions.   Researchers at KAIST have developed a pioneering framework for designing and optimizing s...

A Metaverse-based virtual testbed is used to test autonomous driving vehicles under various scenarios, which may be dangerous and costly in real life. In addition to serving a practical purpose, this virtual testbed strengthens the connection between vehicles, infrastructure, and services, which are the main entities of smart mobility.   Cho Chun Sik Graduate School of Mobility at KAIST established the KA...