Huxley Dunsay of Retro Roadshow joins us in the PCWorld studio to show off the BeBox, a 90s dual-CPU PC with a custom operating system.
Now in its 70th year, the Greater New Orleans Science and Engineering Fair is gearing up for another round of STEM presentations. Over 300 middle- and high-school students will congregate at Tulane ...
The invention of ENIAC in Philadelphia sparked countless technological innovations.
Ransomware operators are hosting and delivering malicious payloads at scale by abusing virtual machines (VMs) provisioned by ISPsystem, a legitimate virtual infrastructure management provider.
Hosted on MSN
Steam machine release info delayed due to computer hardware crisis, Valve still aiming for launch in first-half 2026
Though well-aware that players the world over are waiting with baited breath for the Steam Machine’s full retail details, Valve has unfortunately announced that due to the ongoing computer hardware ...
Tech Xplore on MSN
3D printing platform rapidly produces complex electric machines
A broken motor in an automated machine can bring production on a busy factory floor to a halt. If engineers can't find a ...
Eddy Keming Chen is an associate professor of philosophy at the University of California, San Diego, San Diego, California, USA. Mikhail Belkin is a professor of artificial intelligence, data science, ...
Chinese state-sponsored threat actors were likely behind the hijacking of Notepad++ update traffic last year that lasted for almost half a year, the developer states in an official announcement today.
We could really do with something ...
ZME Science on MSN
Computer chips designed like biological brains can finally handle massive math problems without guzzling energy like a normal supercomputer
Yet, to perform that motion, your brain is solving a massive physics problem in milliseconds. It is processing the same kind of complex math that typically demands a warehouse-sized supercomputer.
Live Science on MSN
'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
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