Electronic Design Process Symposium

Preliminary Archive for 2024

previous (2023)

Talks with Archived Presentations

Energy and Thermal Management of Chips, Systems and Datacenters Necessitates a Return to Fundamentals

Chandrakant Patel
HP
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)

Is AI intelligent?

Ronjon Nag
Stanford Medicine
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)

Scaling to Meet the Needs of AI

Pradeep Dubey
Intel
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


AI: Trailblazing the Next Generation of Semiconductor Innovation

Vishal Khandewal
Synopsys

Enabling Effortless Machine Learning for Embedded Edge Applications

Gopal Hegde
SiMa.ai

The Application of AI to Chip Design

Mark Ren
NVidia

2024 EDPS Program Committee