| machine learning | earth observation |
| space | virtual reality |
Brad Neuberg
- 347 Followers
- 611 Following
- 51 Posts
ML Engineer at Planet. Research w/ Frontier Development Lab. Prev @ Dropbox/Google. Started coworking. Interests: machine learning, space, earth observation, VR. He/Him, http://codinginparadise.org
Is there anything equivalent to Soul of a New Machine by Tracey Kidder but for the 2010+ era? Perhaps Liftoff! By @SciGuySpace but that’s more space than the computer field. https://a.co/d/31jx4sa https://a.co/d/iiPxDxv
I’m reading “Show Stopper!: The Breakneck Race to Create Windows NT and The Next Generation at Microsoft” from 1994, a fun, interesting snapshot in time right before Internet truly landed & changed PC landscape forever: https://a.co/d/hp41ovT
Reading 1991 Byte Magazine from @internetarchive on the Quest Pro browser with passthrough on
[2007] Why the iPhone Will Fail | Engadget
https://www.engadget.com/2007-06-27-why-the-iphone-will-fail.html
@karenmcgrane heads up that I think your personal website has a MIME type set incorrectly. On iOS browser tried to click it and it thought I was trying to download a binary file.
Very interesting review paper from 2022 of optical neural networks: https://www.mdpi.com/2076-3417/12/11/5338
A Review of Optical Neural Networks
With the continuous miniaturization of conventional integrated circuits, obstacles such as excessive cost, increased resistance to electronic motion, and increased energy consumption are gradually slowing down the development of electrical computing and constraining the application of deep learning. Optical neuromorphic computing presents various opportunities and challenges compared with the realm of electronics. Algorithms running on optical hardware have the potential to meet the growing computational demands of deep learning and artificial intelligence. Here, we review the development of optical neural networks and compare various research proposals. We focus on fiber-based neural networks. Finally, we describe some new research directions and challenges.
Visiting my father in law - he worked on original Intel 8080 & has lots of cool books. Here’s an Intel product data sheet catalog from 1973 with first “microcomputer-like” 4004 & 8008 processors, as well as original 1983 hardware reference for IBM PC. It has full BIOS listing.
A mobile, personal AGI in your pocket is a powerful motivator to burn weights into an exotic material & have incredibly low power and inference times, could it give a boost to lots of exotic semiconductor alternatives that have been researched for decades? Certainly provides an intriguing research agenda for the next decade.
“Aalyria brings together 2 technologies: atmospheric laser communications technology and a software platform for orchestrating networks across land, sea, air, space and beyond.” Previous Google Loon team, Vint Cerf is involved.”
