Talks with Archived Presentations
Energy and Thermal Management of Chips, Systems and Datacenters Necessitates a Return to Fundamentals
Chandrakant Patel
HP
slides (in PDF)
AI: Trailblazing the Next Generation of Semiconductor Innovation
Vishal Khandewal
Synopsys
slides (in PDF)
Harnessing LLMs for Advanced EDA Platforms: Code Generation and Beyond
Akhilesh Kumar
Ansys
slides (in PDF)
How AI is changing every aspect of EDA, starting from transistor-level simulation
Sathishkumar Balasubramanian
Siemens
slides (in PDF)
Test, Repair and Reliability Challenges of Chip-let Interconnects
Sreejit Chakravarty
Ampere Computing
slides (in PDF)
Artificial Intelligence and Machine Learning for RF and Microwave Design
Jianjun Xu
Keysight
slides (in PDF)
Promises and Challenges of Digital Twin for Semiconductor Manufacturing
Ala Moradian
Applied Materials
slides (in PDF)
Making Data Center Digital Twins a Reality
Paul Harrison
Cadence
slides (in PDF)
Innovating Semiconductor Manufacturing with ML-augmented Digital Twins
Norman Chang
Electronics, Semiconductor,
and
Optics BU, Ansys
slides (in PDF)
Semiconductors and Artificial Intelligence:The Virtuous Cycle
Pushkar Apte
SEMI
slides (in PDF)
Trust Based Modeling for Improved Security
Naresh Sehgal
Deeply Human AI
slides (in PDF)
Advancing Hardware Security in the Post-Quantum Cryptography Landscape: Challenges and Solutions
Qian Wang
U. Cal. Merced
slides (in PDF)
The Present and Future of Generative AI: Key Trends and Innovations
Shiva Kintali
R3AI
slides (in PDF)
Emerging Technologies for Computing Paradigm Shift
Brandon Wang
Synopsys
slides (in PDF)
Dual Machine Learning Models for Hardware Quality and Supply Chain Management
Chris Cheng
Hewlett-Packard Enterprise
slides (in PDF)
Talks Delivered, but without Archived Presentations
Enabling Effortless Machine Learning for Embedded Edge Applications
Gopal Hegde
SiMa.ai
2024 EDPS Program Committee
General Chair: Ramond Rodriguez @ Intel
- Devang Jariwala @ Intel
- Vivek Joshi
- Brandon Wang @ Synopsys
- Dwight Hill @ Hi-Key Technologies
- Gang Qu @ UMD
- Vic Kulkarni @ Si2
- Norman Chang @ Electronics, Semiconductor, and Optics BU, Ansys
- Randy Fish @ Synopsys
- Naresh Sehgal @ Deeply Human AI
- Aparna Dey @ Cadence
- Chris Cheng @ Hewlett-Packard Enterprise
- Lucy Pan @ Intel
- Edward P Sim @ AI Universe