These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

Abstract: Computing-in-memory (CIM) based on embedded nonvolatile memory is a promising candidate for energy-efficient multiply-and-accumulate (MAC) operations in artificial intelligence (AI) edge ...

Abstract: Dynamic analysis of Android apps is often used together with an exerciser to increase its code coverage. One big obstacle in designing such Android app exercisers comes from the existence of ...