🌐 Entity

Error detection and correction

Reliable digital data delivery methods on unreliable channels

📊 Rating

3 news mentions · 👍 0 likes · 👎 0 dislikes

📌 Topics

Blockchain Security (1)
AI Benchmarking (1)
Medical AI (1)
Language Model Optimization (1)
Healthcare Technology (1)
Machine Learning (1)
Robotics (1)
Artificial Intelligence (1)

🏷️ Keywords

zero-shot reasoning (1) · error detection (1) · Solidity (1) · smart contracts (1) · benchmarking (1) · AI models (1) · blockchain (1) · Prompt Optimization (1) · Error Detection (1) · Medical Notes (1) · Language Models (1) · Healthcare AI (1) · Genetic-Pareto (1) · MEDEC Benchmark (1) · Embodied LLMs (1) · Reflective Planning (1) · Test-Time Planning (1) · Robot Learning (1) · Error Correction (1) · Long-Horizon Tasks (1)

📖 Key Information

In information theory and coding theory with applications in computer science and telecommunications, error detection and correction (EDAC) or error control are techniques that enable reliable delivery of digital data over unreliable communication channels. Many communication channels are subject to channel noise, and thus errors may be introduced during transmission from the source to a receiver. Error detection techniques allow detecting such errors, while error correction enables reconstruction of the original data in many cases.

📰 Related News (3)

🇺🇸 Benchmarking Zero-Shot Reasoning Approaches for Error Detection in Solidity Smart Contracts (2026-03-17)
arXiv:2603.13239v1 Announce Type: new Abstract: Smart contracts play a central role in blockchain systems by encoding financial and operational logic...
🇺🇸 Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models (2026-02-27)
arXiv:2602.22483v1 Announce Type: cross Abstract: Errors in medical text can cause delays or even result in incorrect treatment for patients. Recentl...
🇺🇸 Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs (2026-02-25)
arXiv:2602.21198v1 Announce Type: cross Abstract: Embodied LLMs endow robots with high-level task reasoning, but they cannot reflect on what went wro...

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