#eda
Eda: 10 AI articles covering eda news, analysis, and research
Articles
Moore's Law AI: Applying Agentic AI Across Chip DesignNEW⭐9
Agentic AI moves into production across chip design in 2026, automating design space exploration, physical layout, verification, and cross-domain optimization.
EDA's Future Is Evidence-Driven Automation⭐9
Evidence-driven automation is reshaping EDA as chip complexity surges. Explore why 2026 marks the turning point for traceable, measurable, AI-driven design flow...
When AI Agents Cross Chip Design Silos⭐9
AI agents are breaking down chip design silos, bridging architecture, RTL, verification, and physical implementation to resolve cross-domain trade-offs and redu...
Chip Industry Technical Paper Roundup: September 22, 2026⭐9
Curated semiconductor research digest for September 22, 2026, covering chiplets, advanced packaging, AI-driven EDA, GAA scaling, edge AI, and hardware security.
Agentic AI Automates Design-Rule Repair While Preserving Layout⭐9
Purdue researchers unveil DRC-Agent, an agentic AI that automatically repairs IC design-rule violations while preserving layout equivalence, cutting manual DRC ...
Reinforcement Learning Cuts Routing Violations in Dense Chip⭐9
NYU researchers apply reinforcement learning to detailed routing, significantly reducing design rule violations in dense chip layouts at advanced nodes.
Chip Industry Technical Paper Roundup: September 14 — Key⭐8
Weekly semiconductor paper roundup: AI accelerators, chiplets, automotive electronics, advanced packaging, and low-power design advances for 2026.
Token Costs Become the New EDA Budget Battleground⭐8
Token-based pricing for AI features in EDA tools is becoming a budget concern, pushing chip designers to optimize usage as costs rival traditional software lice...
Open-Source Benchmark Suite for 2.5D/3D Heterogeneous⭐7
UCLA releases open-source benchmark suite for 2.5D/3D heterogeneous integration physical design, enabling standardized testing of placement, routing, and therma...
Self-Supervised Layout Generation to Fix Advanced-Node DRVs⭐8
Self-supervised ML from Nvidia and Duke automatically fixes advanced-node DRVs, cutting design rule violations and speeding up physical design closure.