Conventional silicon-based computer chips are facing practical limits. Processing speed and circuit complexity are limited by factors such as power consumption, heat dissipation, the degree of ...

The integration of artificial intelligence (AI) and natural language processing (NLP) into language learning and assessment has unlocked new possibilities for accurately profiling English language ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

Checking off another item on its PDUFA VII to-do list, the U.S. FDA is releasing a draft guidance on using a logic model framework for risk evaluation and mitigation strategies (REMS).

In a previous article, we explored the Strong Artificial Intelligence Hypothesis, first presenting a low-level description based on the notion of a neural network (bottom-up framework). In this work, ...

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

Many attempts to develop artificial intelligence are powered by powerful systems of mathematical logic. They tend to produce results that make logical sense to a computer program — but the result is ...