Increase productivity with Smidmart Encoders! 🎯 Ideal for CNC machines, motors, conveyors & robotics.
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#Encoders #Automation #Smidmart #IndustrialSolutions
#Encoders
'White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?', by Yaodong Yu et al.
http://jmlr.org/papers/v25/23-1547.html
#sparse #compressive #encoders
'Studying the Interplay between Information Loss and Operation Loss in Representations for Classification', by Jorge F. Silva, Felipe Tobar, Mario Vicuña, Felipe Cordova.
http://jmlr.org/papers/v25/21-1551.html
#encoders #lossless #informational
How #Hackers Extracted the ‘Keys to the Kingdom’ to Clone #HID #Keycards
A team of researchers have developed a method for extracting #authentication keys out of HID #encoders, which could allow hackers to #clone the types of keycards used to secure offices and other areas worldwide.
#security
https://www.wired.com/story/hid-keycard-authentication-key-vulnerability/
A miniature "documentary" about the ingenious device that helps telescopes and mouse wheels measure their angles: https://youtu.be/XR-jr9eI4LU
Use case: When you want to attach files without encoding them, encode_noop from email.encoders is used. It's helpful to skip encoding for certain file types. #python #email #encoders
A simple use case for `email.encoders` and `encode_base64` is to encode file attachments in emails, ensuring compatibility across different email clients. #python #email #encoders
Relating graph auto-encoders to linear models
On my blog: Optimizing Generative AI for Question Answering
#AI #FoundationModels #Decoders #Encoders #Experiments #HyperParameters
https://heidloff.net/article/optimizing-generative-ai-for-question-answering/
Our #brain does not process #information and it is not a #computer.
Here is what we are not born with: information, #data, #rules, #software, #knowledge, #lexicons, #representations, #algorithms, #programs, #models, #memories, #images, #processors, #subroutines, #encoders, #decoders, #symbols, or buffers - design elements that allow #digital computers to behave somewhat intelligently. Not only are we not born with such things, we also don't develop them - ever.
EdiBERT: a generative model for image editing
Thibaut Issenhuth, Ugo Tanielian, Jeremie Mary, David Picard
On Characterizing the Trade-off in Invariant Representation Learning
Bashir Sadeghi, Sepehr Dehdashtian, Vishnu Boddeti
On Characterizing the Trade-off in Invariant Representation Learning
Bashir Sadeghi, Sepehr Dehdashtian, Vishnu Boddeti
Unsupervised Learning of Neurosymbolic Encoders
Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri
#introductionpost #introduction
Hello fediverse looking forward to finding other #runner #cyclist #zwift interested people. I spend my days working to help #automationindustry #iec61131 #ethercat #motioncontrol mostly work with #encoders currently working with anyone that needs precision motion feedback
Looking forward to expanding my connections here.
Sub-mm Mechanical 3D Scanner With Encoders And String
[Scott Rumschlag] wanted a way to precisely map interior spaces for remodeling projects, but did not want to deal with the massive datasets created by optical 3D scanning, and found the precision of the cost-effective optical tools lacking. Instead, he built a 3D cable measuring device that can be used to map by using a manual probe attached to a cable.
The cable is wound on a retractable spool, and passes over a pulley and through a carbon fiber tube mounted on a two-axis gimbal. There are a few commercial machines that use this mechanical approach, but [Scott] decided to build one himself after seeing the prices. The angle of rotation of each axis of the gimbal and the length of extended cable is measured with encoders, and in theory the relative coordinates of the probe can be calculated with simple geometry. However, for the level of precision [Scott] wanted, the devil is in the details. To determine the position of a point within 0.5 mm at a distance of 3 m, an angular resolution of less than 0.001° is required on the encoders. Mechanical encoders could add unnecessary drag, and magnetic encoders are not perfectly linear, so optical encoders were used. Many other factors can also introduce errors, like stretch and droop in the cable, stickiness of the bearings, perpendicularity of the gimbals axis and even the spring force created by the encoder wires. Each of these errors had to accounted for in the calculations. At first, [Scott] was using an Arduino Mega for the geometry calculations, but moved it to his laptop after he discovered the floating point precision of the Mega was not good.
[Scott] spend around 500 hours building and tuning the device, but the end result is really impressive. There are surprisingly few optical machines that can achieve this level of precision and accuracy, and they can be affected by factors like the reflectivity of an object.
If you do want to get into real 3D scanning, definitely take the time to read [Donal Papp]'s excellent guide to the practical aspects of the various technologies. Most of us already have a 3D scanner in our pocket in the form of a smartphone, which can be used for photogrammetry.
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