1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Unsupervised machine learning explores data to find new patterns without set goals. It fuels advancements in tech fields like autonomous driving and content recommendations. Investors can use ...

The Princeton team developed a "bullshit index" to measure and compare an AI model's internal confidence in a statement with ...

Reinforcement learning (RL) [6] stands out as a powerful ML technique for training agents to achieve optimal behaviour in ...

The Core of Human-Machine-Environment System Intelligent Communication: Seamless Connectivity and Multimodal Interaction The goal of Human-Machine-Environment System Intelligent Communication is to ...

When it comes to harnessing technology’s fast-moving tide, what should architecture practices be doing? Pamela Buxton asks ...