2026-W42 週次まとめ
対象期間: 2026-10-12〜2026-10-18 ／ 4 件
SEMICON West 2026: NVIDIA Expands GPU Libraries for AI-driven Semiconductor Manufacturing
出典: EE Times Asia ／ 公開日: 2026-10-15 ／ テーマ: 半導体
未要約
NVIDIA and industry partners are applying accelerated computing and AI agents to chip simulation, process optimization, inspection and fab automation. The post SEMICON West 2026: NVIDIA Expands GPU Libraries for AI-driven Semiconductor Manufacturing appeared first on EE Times Asia .
Machine Learning Surrogate Model for Accelerating InGaAs/GaAs Quantum Well Laser Design
出典: arXiv ／ 公開日: 2026-10-15 ／ テーマ: 半導体
未要約
A machine-learning surrogate model based on a multi-layer perceptron neural network is used to predict six laser performance metrics for an indium gallium arsenide quantum well laser given epitaxial layer parameters as inputs. The surrogate model was trained on simulation data from a set of 4999 designs which were generated by varying epitaxial layer parameters and simulating each design with Harold to extract performance metrics. The model predicts all 6 chosen metrics with a coefficient of det
IBM and Siemens team up to advance 3D nanostack chip technology
出典: eeNews Europe ／ 公開日: 2026-10-15 ／ テーマ: 半導体
未要約
IBM and Siemens have announced a research collaboration to advance IBM’s 3D nanostack transistor architecture, targeting the design and manufacturing challenges of future angstrom-scale semiconductors. The partnership will combine IBM’s semiconductor research with Siemens’ electronic design automation (EDA), simulation and lithography expertise to help move the technology closer to commercial production. The collaboration could have […] The post IBM and Siemens team up to advance 3D nanostack ch
How Close Are We To Fully Autonomous Chip Design?
出典: Semiconductor Engineering ／ 公開日: 2026-10-15 ／ テーマ: 半導体
未要約
Synopsys CEO Sassine Ghazi talks about AI agents, the limits of autonomous engineering, digital twins, and the challenges facing 3D-ICs. The post How Close Are We To Fully Autonomous Chip Design? appeared first on Semiconductor Engineering .