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AI for Chip Design at NeurIPS 2026

Event artwork for AI for Chip Design at NeurIPS 2026
About this event

What to expect

AI for Chip Design at NeurIPS 2026 brings AI, machine learning and semiconductor experts together in Paris on 12 December 2026.

The AI for Chip Design Workshop will explore a critical engineering question: how can AI help people design the chips behind today’s most advanced technologies? Accepted as a new workshop at the Paris venue of NeurIPS 2026, it creates a focused meeting point for researchers and practitioners working across machine learning, electronic design automation and semiconductor systems.

AI meets practical hardware engineering

Initiated by the Barcelona Supercomputing Center (BSC), an ELLIOT partner, the workshop connects application-driven research with the wider international AI community. It is closely aligned with ELLIOT Use Case 5.2 on Hardware Design, which investigates how Multimodal Generalist Foundation Models can be adapted to support practical hardware-engineering tasks.

The programme is designed for academic researchers, industry practitioners and hardware specialists interested in the intersection of:

  • AI and machine learning for chip design
  • Electronic design automation
  • Semiconductor systems
  • Foundation models for hardware-engineering workflows
  • Research applications, systems and datasets

The organising committee combines BSC researchers Dario Garcia-Gasulla, Gokcen Kestor and Emanuele Pariri with international experts Luca Benini of ETH Zürich and the Università di Bologna, Leighanne Clevenger of the Silicon Integration Initiative, Zhiyao Xie of the Hong Kong University of Science and Technology, and Cong “Callie” Hao of the Georgia Institute of Technology.

Call for papers

Researchers and practitioners can contribute original research, applications, systems, datasets or position papers through two tracks:

  • Research papers: 7–9 pages
  • Poster papers: 3–4 pages…

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