Category: Learning

NVIDIA GTC 2022에서

NVIDIA GTC 2022에서

Voice & Behavioral Biometrics – Enhanced Security Through Voice Analytics

Presented by Dell Technologies [A41412]

https://register.nvidia.com/flow/nvidia/gtcfall2022/attendeeportal/page/sessioncatalog/session/1658808543794001XuSM

Synthetic identity fraud is one of the fastest-growing types of financial crime. At the same time, combining AI-powered voice biometric & behavioral analytics systems is considered one of the safest data protection methods in modern-day cybersecurity. In this panel, we discuss the pros and cons of this approach, e.g., in banking and financial services. Panelists share key considerations and provide insight into the neural nets, and the Dell-NVIDIA technologies that can help prevent fraud and identity theft.

https://static.rainfocus.com/nvidia/gtcfall2022/sess/1658808543794001XuSM/supmat/A41412 – Voice & Behavioral Biometrics – Enhanced Security Through Voice Analytics (Presented by Dell Technologies)_1663693327033001rqdV.pdf

From last ILVB-2009

From last ILVB-2009

Tutorial 1: Probabilistic Graphical Models: Techniques, Applications, and Research DirectionsProf. 장병탁, 서울대학교– Hypernetworks: A Molecular Evolutionary Architecture for Cognitive Learning and Memory – 차세대 기계학습 기술 (Next-generation Machine-Learning Technologies)– 정보과학회지. 2007년 3월. 기계학습 특집(Special issue on machine-learning) Lecture 1: Approximate Inference: Decomposition Method with Applications to Computer Vision정교민, KAIST Lecture 2: Biologically-Inspired Robots김대은, 연세대학교 Lecture […]

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