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2023

[IPAI seminar] Techniques and Applications of Diffusion-based Image Generation and Translation

Recent Trends of Fast Inference in Diffusion Models

Performance, Reliability, and Security in the CXL Era

Mattan Erez

|University of Texas, Austin

12/20 (수) 10:30

302동 208호

Cost-Effective LLM Inference Solution Using SK hynix's AiM (Accelerator-in-Memory)

Building An Efficient and Scalable Any-Modality Augmented Language Model

Structuring Knowledge from Semi-Structured Personal Informatics Systems with Large Language Models

Content-Addressable Processing Engines: Toward Highly Programmable Processing-in-Memory Architectures

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세미나

2023

[IPAI seminar] Techniques and Applications of Diffusion-based Image Generation and Translation

Recent Trends of Fast Inference in Diffusion Models

Performance, Reliability, and Security in the CXL Era

Cost-Effective LLM Inference Solution Using SK hynix's AiM (Accelerator-in-Memory)

Building An Efficient and Scalable Any-Modality Augmented Language Model

Structuring Knowledge from Semi-Structured Personal Informatics Systems with Large Language Models

Content-Addressable Processing Engines: Toward Highly Programmable Processing-in-Memory Architectures

Energy-Efficient Software Systems for Machine Learning

Quantum Machine Learning Trends: The Past, Present, and Future

Realizing Quantum Advantage Across Multiple Applications

소식

2023

[IPAI seminar] Techniques and Applications of Diffusion-based Image Generation and Translation

Recent Trends of Fast Inference in Diffusion Models

Performance, Reliability, and Security in the CXL Era

Cost-Effective LLM Inference Solution Using SK hynix's AiM (Accelerator-in-Memory)

Building An Efficient and Scalable Any-Modality Augmented Language Model

Structuring Knowledge from Semi-Structured Personal Informatics Systems with Large Language Models

Content-Addressable Processing Engines: Toward Highly Programmable Processing-in-Memory Architectures

Energy-Efficient Software Systems for Machine Learning

Quantum Machine Learning Trends: The Past, Present, and Future

Realizing Quantum Advantage Across Multiple Applications