A Day in the Life of a Roboticist: Charlie Kemp

Building useful robots starts with understanding the people who use them. For Charlie Kemp, cofounder and chief technology officer of Hello Robot, that means developing assistive robots that can help people with everyday tasks and support greater independence.In this Robots Guide profile, Kemp shares his path from studying artificial intelligence at MIT to building Stretch, explains how working…
A New IEEE STEM Book Series for Tweens from TryEngineering
IEEE TryEngineering is dedicated to inspiring intellectual curiosity in children.The technologies shaping our world, including in the realms of artificial intelligence, electric vehicles, and ocean exploration, are evolving rapidly. Helping young learners understand the concepts is essential to preparing the next generation of problem-solvers, creators, and engineers.TryEngineering has introduced…
Here’s How Delhi Achieved Its Epic Power-Grid Fix

It’s 6 a.m. on a cold January morning in 2002 in New Delhi. It’s still dark outside, and I’m in the kitchen preparing breakfast, packing lunches, and getting my two children ready to catch the school bus when, for the third time in a week, the power goes out. No lights, no mixer to finish my daughter’s puttu—her favorite rice dish—no kettle, no toaster. The bathroom is dark, and the kids are…
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3 principles to bring your data monetization initiatives to life

In today’s AI-driven environment, robust data monetization capabilities are both a competitive advantage and a precondition for success, research from the MIT Sloan School of Management finds.
3 principles to bring your data monetization initiatives to life

In today’s AI-driven environment, robust data monetization capabilities are both a competitive advantage and a precondition for success, research from the MIT Sloan School of Management finds.
A framework for determining when AI can make decisions

The AI Decision Matrix uses ambiguity and risk to determine the optimal decision-making structure between humans and AI automation.
A framework for determining when AI can make decisions

The AI Decision Matrix uses ambiguity and risk to determine the optimal decision-making structure between humans and AI automation.