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Between humans and machines,feedback loops of love and grace.It could be that way, he wrote.Less robotic ourselves, we couldlive more in dreams, less in routines.Things that made us weak and strangecan be engineered around:servos here, neural nets there,bits of bone, and hanks of hair,becoming beautiful and profound.With each machine, we make a mirrorthinking of us as we may thinkof it. Images come again,new, yet we recognize themas something almost known before.Every web conceals its spider.There is unease

This article is part of our exclusive career advice series in partnership with the IEEE Technology and Engineering Management Society.Let’s say you’ve been in your role for a few years now. You know your systems inside and out. You’ve solved tricky problems, led small teams, and delivered results on time. But lately, between status meetings and routine design reviews, you’ve caught yourself thinking: There must be a better way to do this task. Someone should make this better.

Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.SOSV Robotics Matchup: 1–5 December 2025, ONLINEICRA 2026: 1–5 June 2026, VIENNAEnjoy today’s videos!

A few years ago, Matthew Carey lost a friend in a freak car accident, after the friend’s car struck some small debris on a highway. The accident happened under conditions that render nearly all of today’s car-mounted sensors useless: fog and bright early-morning sunshine. Radar can’t see small objects well, lidar is limited by fog, and cameras are blinded by glare. Carey and his cofounders decided to create a sensor that could have done the job—a terahertz imager.Historically,

This article is crossposted from IEEE Spectrum’s careers newsletter. Sign up now to get insider tips, expert advice, and practical strategies, written in partnership with tech career development company Taro and delivered to your inbox for free!The most productive engineer I worked with at Meta joined the company as a staff engineer. This is already a relatively senior position, but he then proceeded to earn two

Genya Crossman is a lifelong learner passionate about helping people understand and use quantum computing to solve the world’s most complex problems.So, she is excited that quantum computing is in the spotlight this year. UNESCO declared 2025 the International Year of Quantum Science and Technology. It’s also the 100th anniversary of physicist Werner H

Tesla was first to patent a primitive axial-flux electric motor—Nikola Tesla, that is, way back in 1889. It would be 126 years before the concept found its way to a car, the 1,500-horsepower (1,103 kilowatt), US $1.9 million, Koenigsegg Regera hybrid, in 2015. Even today, nearly all the world’s EVs and hybrids rely on relatively inefficient, easy-to-manufacture radial-flux motors.Yet the latest electrified revolution is underway, led by YA

As artificial intelligence reshapes every industry, universities face a critical choice: lead the transformation or risk falling behind. The institutions that integrate AI across disciplines, invest in computing infrastructure, and conduct groundbreaking research will become destinations for top students, faculty, and research funding.This industry brief provides a practical roadmap for building a comprehensive AI strategy that drives enrollment, attracts research dollars, and delivers career-ready graduates.Download this free whitepaper now!

It seems like every week there’s a new video of a robot folding clothes. We’ve had some fantastic demonstrations, like this semi-autonomous video from Weave Robotics on X.It’s awesome stuff, but Weave is far from the only company producing these kinds of videos. Figure 02 is folding clothes. Figure 03 is folding clothes.

Amazon is piloting a new four-wheel, pedal-assist electric delivery vehicle built by Also, a spin-off from electric-truck maker Rivian, in a bid to mak