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SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction
In this paper, we introduce SeizNet, a closed-loop system for predicting epileptic seizures through the use of Deep Learning (DL) method and implantable sensor networks.
A Review of Repository Level Prompting for LLMs
As coding challenges become more complex, recent advancements in Large Language Models (LLMs) have led to notable successes, such as achieving a 94. 6\% solve rate on the HumanEval benchmark.
Testing Language Model Agents Safely in the Wild
A prerequisite for safe autonomy-in-the-wild is safe testing-in-the-wild.
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