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Research Highlight
VVIP: Versatile Vertical Indexing Processor for Edge Computing
Prof. Wanyeong Jung’s group has developed VVIP, a SIMD-based processor for efficient edge computing. It achieved 10.1× speedup with only 2.8% area overhead, enhancing multi-bit multiplication and sparse operations....read more
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Research Highlight
Development of AI/ML based User Anomaly Detection Solution for Enterprise Resource Planning System
At the KAIST Institute for Information Technology Convergence, the Intelligent Technology Research team has conducted research and development of an AI/ML based user anomaly detection solution for enterprise resource planning system (ERP), particularly targeted at SAP ERP, by collaborating with ARMIQ (a company with SAP ERP system expertise). The team is developing core modules for ERP user anomaly detection solutions such as user behavior categorizers, AI/ML inference models, model optimization methods). By utilizing domain expertise related to SAP ERP and cutting-edge AI/ML techniques, it is expected to achieve cost-effective localized ML based user anomaly detection solutions....read more
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