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AI Reliability & Verification

2 summarised stories about AI Reliability & Verification, each linking back to the original source. Browse all topics →

Friday, 17 July 2026

Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation

arXiv cs.AI 6 hours ago

Researchers developed ATLAS, an LLM-based agent framework that generates functional Successive Approximation Register Analog-to-Digital Converters by grounding the model with expert knowledge constraints to avoid hallucinations. The framework uses template-constrained generation to guide LLM planning, selection, parameterization, and iterative modification across multiple technology nodes and input specifications. This approach enables reliable analog circuit design automation by combining LLM capabilities with domain-specific constraints that traditional prompting methods lack.

Tactile: Giving Computer-Using Agents Hands and Feet

arXiv cs.AI 6 hours ago

Researchers introduced Tactile, an open-source tool that improves how AI agents interact with desktop applications by converting UI elements into actionable targets with verification capabilities. Performance on macOSWorld tasks improved from 41.1% to 50.0% success rate with Codex, and gains were consistent across multiple agent types. The framework enables agents to use semantic actions, OCR-grounded coordinates, and explicit verification rather than relying solely on screenshot pixel coordinates.