IEEE Spectrum’s cover photo
IEEE Spectrum

IEEE Spectrum

Book and Periodical Publishing

New York, NY 17,646 followers

Technology news and analysis from the world's leading engineering magazine

About us

The latest technology news and analysis from the world's leading engineering magazine.

Website
https://spectrum.ieee.org/
Industry
Book and Periodical Publishing
Company size
1,001-5,000 employees
Headquarters
New York, NY
Type
Nonprofit

Employees at IEEE Spectrum

View 53 employees at IEEE Spectrum

or

By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy.

See all employees

Locations

Updates

  • Thank you for your recognition General David H. Petraeus, US Army (Ret.). Read the full piece on Russia's new jet drones bringing hard choices for Ukraine: https://lnkd.in/eiGp7i-N

    Me in IEEE Spectrum on why there is no solution to jet-powered Shahed drones, yet. And why it's about to get worse: 1) Ukraine is currently relying on expensive solutions like MANPADS and F-16s to down these drones. 2) No interceptor drone with scaled production addresses the problem. 3) The problems lie in electronics, aerodynamics, piloting... and in the end in physics. The relative speed of a head-on intercept of a Geran-4 cruising at 400 km/h with an interceptor drone flying at 250 km/h is 650 km/h. Good luck manually piloting a shoebox-sized device into half a square-meter. Want to perform a chase intercept? Good luck flying an interceptor drone at above 500 km/h for more than a minute or two. I know how hard this stuff is, I test these things. WORSE The attacker's advantage is multiplied by command and control. Russia has been denied Starlink. The result will - and I'm ready to ___ on that hill - be that Russia will get Rassvet done. It sees it as existential. Rassvet will enable, and, per my strong suspicion, IS already enabling precision strikes (and yes, I see the SBU HQ one as a likely demonstration/test, given the low terminal altitude of the G-4). The video data from these strikes will be used to train models which will enable near-autonomous, swarmed, massed operation of flocks of Geran-4, -5 and -6. My ballpark guesstimate is that we're five to six years behind on Russia's lead in NATO. If we take innovation and procurement inertia into account, I'd put us close to 8-10 years behind Russia. Russia is now equipping these things with seeker heads which are capable of autonomously searching for targets, and with specialized payloads that can cut through bridge and high-voltage power pylons. They're literally turning these things into the cheapest jets and cruise missiles in history. Do you think that's the latest tech that's in development over there? IRIS2 is so late it might become irrelevant for deterrence before the first sats are launched. Our air defense developments are feeble. And in terms of our own developments when it comes to DPS? Again, 5-10 years behind. We must get out of the shadow of our adversaries and overtake. There is really no alternative. Strong words to wash down with your morning coffee, I know. But necessary words. Thanks for the Tereza Pultarova for the great questions, and for IEEE Spectrum for the continued trust. Please feel encouraged to challenge me in the comments!

    • No alternative text description for this image
  • The AI frontier moves faster than your tapeout schedule. While a leading-edge chip can take 18 months and $1B+ to design, generic LLMs and manual workflows can't keep pace with today's complexity – digital, analog, and 3D IC alike. Meet IC-star, ChipAgents' new autonomous chip execution engine, built to close that gap. In this webinar, you'll learn: - The four core technologies behind silicon design autonomy – and why they must be co-optimized to work reliably - How to move past point-solution acceleration to automate full engineering workflows, not just isolated tasks - Real deployment results from Ambiq, using agentic AI to speed up chip development for physical AI systems - How teams are shortening tapeout cycles and improving PPA convergence while cutting token costs Whether you're an engineer under deadline pressure or a leader evaluating where agentic AI actually delivers ROI, this session cuts through the hype with real workflows and real results. https://lnkd.in/gP69QGit

    • No alternative text description for this image

Similar pages

Browse jobs