New research helps robots combine language and gestures to find objects in cluttered spaces, improving how they understand human intent.

Whether in the kitchen or on a workshop floor, robot assistants that can fetch items for people could be extremely useful.

By incorporating insights from canine companions, researchers enable robots to use both language and gesture as inputs to help fetch the right objects.

POMDP, an AI framework inspired by dogs that allows robots to use human gestures and language to find objects with 89% accuracy.

Choosing an AI model is no longer about “best model wins.” Instead, the right choice is the one that meets accuracy targets, fits latency and cost budgets, respects compliance boundaries and ...

We have all heard about model context protocol (MCP) in the context of artificial intelligence. In this article, we will dive into what MCP is and why it is becoming more important by the day. When AP ...

The 2025 update to the NIST Cybersecurity Framework (CSF 2.0) places a stronger emphasis on identity risks. Identity ...

When you attend an inspiring professional development (PD) session by yourself, you feel energized and excited as if you’ve seen the sun for the first time. However, getting other people onboard can ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

♦ UPDATE: Learn about companies that are applying this timeless advice today. A version of this article appeared in the July–August 2008 issue of Harvard Business Review. James L. Heskett is a Baker ...

Lucas Downey is the co-founder of MoneyFlows, and an Investopedia Academy instructor. Ryan Eichler holds a B.S.B.A with a concentration in Finance from Boston University. He has held positions in, and ...