all AI news
A Machine Learning Approach Towards SKILL Code Autocompletion
Feb. 27, 2024, 5:51 a.m. | Enrique Dehaerne, Bappaditya Dey, Wannes Meert
cs.CL updates on arXiv.org arxiv.org
Abstract: As Moore's Law continues to increase the complexity of electronic systems, Electronic Design Automation (EDA) must advance to meet global demand. An important example of an EDA technology is SKILL, a scripting language used to customize and extend EDA software. Recently, code generation models using the transformer architecture have achieved impressive results in academic settings and have even been used in commercial developer tools to improve developer productivity. To the best of our knowledge, this …
abstract advance arxiv autocompletion automation code code generation complexity cs.cl cs.pl cs.se demand design eda electronic electronic design automation example global language law machine machine learning scripting software systems technology transformer type
More from arxiv.org / cs.CL updates on arXiv.org
ALBA: Adaptive Language-based Assessments for Mental Health
2 days, 22 hours ago |
arxiv.org
PACE: Improving Prompt with Actor-Critic Editing for Large Language Model
2 days, 22 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US