TechHub

Benjamin Carr, Ph.D. 👨🏻‍💻🧬<a href="https://hachyderm.io/tags/AlexNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlexNet</a>, the <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> model that started it all, released in <a href="https://hachyderm.io/tags/sourcecode" class="mention hashtag" rel="nofollow noopener" target="_blank">#sourcecode</a> form - for all to download It was the shot heard 'round the world - a <a href="https://hachyderm.io/tags/neuralnetwork" class="mention hashtag" rel="nofollow noopener" target="_blank">#neuralnetwork</a> that finally fulfilled decades of theoretical promise. <a href="https://www.zdnet.com/article/alexnet-the-ai-model-that-started-it-all-released-in-source-code-form-for-all-to-download/" rel="nofollow noopener" translate="no" target="_blank">https://www.zdnet.com/article/alexnet-the-ai-model-that-started-it-all-released-in-source-code-form-for-all-to-download/</a>

Trevor McLeodInterested to know more about what sparked today's <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mastodon.social/tags/Revolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#Revolution</a> ? Know some <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#Python</a> ?<a href="https://mastodon.social/tags/google" class="mention hashtag" rel="nofollow noopener" target="_blank">#google</a> and the Computer History Museum have released the <a href="https://mastodon.social/tags/sourcecode" class="mention hashtag" rel="nofollow noopener" target="_blank">#sourcecode</a> for <a href="https://mastodon.social/tags/alexnet" class="mention hashtag" rel="nofollow noopener" target="_blank">#alexnet</a><a href="https://mastodon.social/tags/NeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#NeuralNetworks</a> <a href="https://arstechnica.com/ai/2025/03/you-can-now-download-the-source-code-that-sparked-the-ai-boom/" rel="nofollow noopener" translate="no" target="_blank">https://arstechnica.com/ai/2025/03/you-can-now-download-the-source-code-that-sparked-the-ai-boom/</a>

kcnickersonAI's "Back to the Future" - Open-Source Code to AlexNet, the neural network that started a Trillion(s) dollar, geopolitical race =O @geoffreyhinton <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://mastodon.social/tags/alexnet" class="mention hashtag" rel="nofollow noopener" target="_blank">#alexnet</a> <a href="https://mastodon.social/tags/code" class="mention hashtag" rel="nofollow noopener" target="_blank">#code</a> <a href="https://github.com/computerhistory/AlexNet-Source-Code" rel="nofollow noopener" translate="no" target="_blank">https://github.com/computerhistory/AlexNet-Source-Code</a>

ResearchBuzz: FirehoseArs Technica: You can now download the source code that sparked the AI boom. “On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that ‘deep learning’ could achieve things conventional AI techniques could not.”<a href="https://rbfirehose.com/2025/03/25/ars-technica-you-can-now-download-the-source-code-that-sparked-the-ai-boom/" class="" rel="nofollow noopener" target="_blank">https://rbfirehose.com/2025/03/25/ars-technica-you-can-now-download-the-source-code-that-sparked-the-ai-boom/</a>

WinFuture.deDer Quellcode von AlexNet, dem Auslöser des modernen KI-Booms, ist jetzt als Open Source verfügbar. Ein Blick in die Anfänge der KI-Revolution von 2012. <a href="https://mastodon.social/tags/AlexNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlexNet</a> <a href="https://mastodon.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#KI</a> <a href="https://winfuture.de/news,149842.html?utm_source=Mastodon&utm_medium=ManualStatus&utm_campaign=SocialMedia" rel="nofollow noopener" translate="no" target="_blank">https://winfuture.de/news,149842.html?utm_source=Mastodon&utm_medium=ManualStatus&utm_campaign=SocialMedia</a>

Benjamin Carr, Ph.D. 👨🏻‍💻🧬How a stubborn <a href="https://hachyderm.io/tags/computerscientist" class="mention hashtag" rel="nofollow noopener" target="_blank">#computerscientist</a> accidentally launched the <a href="https://hachyderm.io/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#deeplearning</a> boom "You’ve taken this idea way too far," a mentor told Prof. Fei-Fei Li, who was creating a new image <a href="https://hachyderm.io/tags/dataset" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataset</a> that would be far larger than any that had come before: 14 million images, each labeled with one of nearly 22,000 categories. Then in 2012, a team from Univ of Toronto trained a <a href="https://hachyderm.io/tags/neura" class="mention hashtag" rel="nofollow noopener" target="_blank">#neura</a> network on <a href="https://hachyderm.io/tags/ImageNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#ImageNet</a>, achieving unprecedented performance in image recognition, dubbed <a href="https://hachyderm.io/tags/AlexNet" class="mention hashtag" rel="nofollow noopener" target="_blank">#AlexNet</a>. <a href="https://arstechnica.com/ai/2024/11/how-a-stubborn-computer-scientist-accidentally-launched-the-deep-learning-boom/" rel="nofollow noopener" translate="no" target="_blank">https://arstechnica.com/ai/2024/11/how-a-stubborn-computer-scientist-accidentally-launched-the-deep-learning-boom/</a> <a href="https://hachyderm.io/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a>

Recent searches

Search options

Administered by:

Server stats:

#alexnet