Engineer, artist, programmer, mathematician, photographer. Also, consultant for machine learning, computer vision, electronics, and embedded programming.
Cincinnati, OH
Joined July 2009
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- Following82
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Wow... no drama like IRC drama. Freenode has a large channel on machine learning (##machinelearning), and its admins are now banning people who join or even mention a "competing" channel (##machinelearning-general). reddit.com/r/MachineLearning… #machinelearning #DeepLearning
"Applying Visual Analytics to Physically Based Rendering" thanks @appleseedhq. Obvious in hindsight, but important: analyzing the 3D rendering process means many high-dimensional light samples, which means analytics techniques are relevant. graphics.tudelft.nl/Publicat… #Analytics
Oh joy, another. "Foreshadow: Breaking the Virtual Memory Abstraction with Transient Out-of-Order Execution" foreshadowattack.eu/ #Security #vulnerability #Vulnerabilities
Chris Hodapp retweeted
Thread.
I was recently privy to a conversation in which some really smart people in security shared their favorite papers or articles. Security engineering, like other disciplines, has a rich history worth learning from.
I'm going to list some of these papers in this thread.
Chris Hodapp retweeted
Heard about @Elonmusk's rescue "submarine"? The cave-diver who masterminded the Thai cave rescue called it a "PR stunt"—that was the politest thing he said. You might be wondering: well, he tried to help. Let me explain with this thread and this NYT piece. nytimes.com/2018/07/14/opini…
good, because I was going to keep eating all of those things regardless xitter.cf/freqn/status/101744852…
Yet another CPU side channel attack, this one on hyperthreading-enabled Intel CPUs. #security xitter.cf/mjg59/status/101681563…
Nice write-up from Red Hat too: redhat.com/en/blog/temporal-…
"Thermanator: Thermal Residue-Based Post Factum Attacks On Keyboard Password Entry" arxiv.org/abs/1806.10189 #security
Chris Hodapp retweeted
Economist on agile software “scrum”: This moniker was clearly bestowed by someone who had never seen a real rugby game. An actual scrum involves 16 people pushing hard, getting nowhere and usually ending up collapsing or being penalised by the referee for foul play.
yeah, leave that in the garbage along with the idea that "brainstorming" is somehow magical xitter.cf/dhh/status/10155454881…
The myth of the collaborative wonders of the open office debunked in new study. A tyranny of interruption, distraction, and stress for workers that require uninterrupted time for creative work. A way to squander the attention of highly paid workers to save money on real estate. xitter.cf/danluu/status/10153731…
Chris Hodapp retweeted
Exciting News! Clojure MXNet has become part of the main @ApacheMXNet project. Thanks to all that helped make it happen :) gigasquidsoftware.com/blog/2…
Chris Hodapp retweeted
learn deep learning: course.fast.ai/
computational linear algebra: github.com/fastai/numerical-…
data science career advice: fast.ai/topics/#advice
myths about AI: bit.ly/myths-AI
biased AI: bit.ly/AI-biased
debunking the pipeline myth: bit.ly/not-pipeline
In defense of skepticism about deep learning – Gary Marcus – Medium medium.com/@GaryMarcus/in-de… via @wallabagapp #MachineLearning #DeepLearning
Chris Hodapp retweeted
I finally have something ready with Clojure MXNet package github.com/gigasquid/clojure… - It's in the "works on my machine and on AWS images" state so if anyone wants to check it out and give it a test drive and let me know any issues, that would be great!
Chris Hodapp retweeted
"Deep learning has succeeded primarily by showing that certain questions or tasks we thought were difficult are in fact not. It has not addressed the truly difficult questions that continue to prevent us from achieving human like AI" - Judea Pearl - The Book of Why
"C Is Not a Low-level Language: Your computer is not a fast PDP-11." Opinions, @kungfuj35u5? queue.acm.org/detail.cfm?id=…
Chris Hodapp retweeted
The folks at AWS have developed a MXNet backend for Keras, with extensive feature coverage and great performance. Hopefully we can merge it into core Keras in the future (some technical blockers there). For now it exists as a fork: github.com/awslabs/keras-apa…
