Arcane: Efficient Assertion Reduction for Hardware Verification
Discover Arcane, a framework that cuts redundant assertions by 76%, boosting hardware verification speed and efficiency with semantic clustering and MCTS.
Efficient Active Testing of Large Language Models
Discover a novel active testing method using approximate Neyman allocation to improve evaluation accuracy and reduce costs for large language models.
MAGE: Advanced Multi-Agent Learning with Knowledge Graphs
Discover MAGE, a framework using co-evolutionary knowledge graphs to improve self-evolving AI agents' learning and stability across tasks.
AutoScout24 Boosts Engineering with AI Workflows
Discover how AutoScout24 enhances engineering efficiency and code quality by integrating AI-powered workflows like Codex and ChatGPT.
How Finance Teams Boost Efficiency with Codex AI
Discover how finance teams use Codex AI to automate reporting, analyze variances, perform model checks, and improve financial planning.