Putting Humans Continually In the AI Loop

In learning contexts such as acquiring a new skill, having a human in the loop refers to an optimization process through which a steep learning curve for the first newbie is progressively flattened for each succeeding-generation newbie by incorporating the lessons learned in each generation into improved teaching methods. Thus, the learning time is progressively shortened, until a fully optimized procedure is achieved. FULL TEXT

Exascale Supercomputers Tracking Down Dark Matter, Dark Energy

Detailed cosmological simulations by exascale supercomputers are playing a role in solving the mysteries of dark matter and dark energy. FULL TEXT

Explaining AI Explainability

Having an AI system explain how it reaches its conclusions, legally required in some cases, is still a challenge. FULL TEXT

AI Upgrades the Internet of Things

Adding AI to IoT helps process streams of data for intelligent decision-making and new applications. FULL TEXT

Dark Patterned Voices Manipulate Users

Untrustworthy conversational agents present a significant threat for manipulation of the user FULL TEXT

CONVERSATION AS THE COMMAND

By combining large language models (LLMs) with vision-language models (VLMs, which label images), it is possible for autonomous robots to achieve their tasks by conversing with humans in natural language. This feat makes “conversation the command,” instead of requiring operators to issue robots explicit commands in their own structured language. FULL TEXT

Edge AI Devices Eye Lifetime Learning

Helping artificial intelligence to adapt and learn, now and later.

Above added neurons (gold) to the original set (black) learn new capabilities in-the-field. FULL TEXT

How to Find a Needle in a Haystack