
AlexNet
TopicHeard in 5 episodes across 5 shows since Aug 2026
AlexNet is a convolutional neural network architecture for image classification. Developed by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, it became prominent after its strong performance in the 2012 ImageNet Large Scale Visual Recognition Challenge and helped establish deep convolutional networks for large-scale visual recognition.
Episodes
5
across 5 shows
First heard
Aug 2026
Episodes per month
Public PodLume episodes featuring it, over the last year.
1
4
Show the data
| Month | Episodes |
|---|---|
| Nov 2025 | 0 |
| Dec 2025 | 0 |
| Jan 2026 | 0 |
| Feb 2026 | 0 |
| Mar 2026 | 0 |
| Apr 2026 | 0 |
| May 2026 | 0 |
| Jun 2026 | 0 |
| Jul 2026 | 0 |
| Aug 2026 | 1 |
| Sep 2026 | 4 |
| Oct 2026 | 0 |
Episodes
5 episodes featuring AlexNet, newest first
- Sep 25, 2026
Jensen Huang challenges AI alarmism while backing tougher safeguardsHard ForkSep 25, 2026 - Sep 23, 2026
Nvidia CEO challenges AI alarmism with an engineering-first visionThe Ezra Klein ShowSep 23, 2026 - Sep 17, 2026
Agent swarms could accelerate AI research—and complicate alignmentDwarkesh PodcastSep 17, 2026 - Sep 2, 2026
OpenCV evolves from Intel project to AI infrastructureInside AsembleAI: DeepTech, AI & ScienceSep 2, 2026 - Aug 6, 2026
Open models turn inference into critical AI infrastructureThe a16z ShowAug 6, 2026