github.com/lendot/slushie
lendot/slushie
Personal slushie machine (⭐ 0)
twitter.com/kenshirriff/status/1287138807863816193
Patent for 6800 CPU includes a diagram of a Slushy Machine
Points: 18 | Comments: 0 | Author: fortran77
arxiv.org/abs/2211.11880v1
Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Robustness in deep neural networks and machine learning algorithms in general is an open research challenge. In particular, it is difficult to ensure algorithmic performance is maintained on out-of-distribution inputs or anomalous instances that cann...
arxiv.org/abs/2203.09354v2
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models
Increasing the semantic understanding and contextual awareness of machine learning models is important for improving robustness and reducing susceptibility to data shifts. In this work, we leverage contextual awareness for the anomaly detection probl...
en.wikipedia.org/wiki/Montserrat
Montserrat - Wikipedia
University of the West Indies Open Campus. Retrieved 24 November 2017. "Contact USAT Archived 1 December 2017 at the Wayback Machine." University of Science,
en.wikipedia.org/wiki/Trejo_pistol
Trejo pistol - Wikipedia
previously called Armas Trejo S.A. and of which, one of its variants, the Trejo Modelo 1 "TIPO RÁFAGA", is considered the smallest machine pistol in the world
en.wikipedia.org/wiki/List_of_submachine_guns
List of submachine guns - Wikipedia
This is a list of submachine guns. It includes Submachine guns (SMG), Machine pistols (MP), Personal defense weapon systems (PDW), and "compact submachine
arxiv.org/abs/2310.07716v1
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Object anomaly detection is an important problem in the field of machine vision and has seen remarkable progress recently. However, two significant challenges hinder its research and application. First, existing datasets lack comprehensive visual inf...
github.com/Chrisaranguren/Petrophysical_Interpretation_Random_Forest_Regression-
Chrisaranguren/Petrophysical_Interpretation_Random_Forest_Regression-
The goal of this article is to follow a recommended machine learning workflow on how to perform a petrophysical interpretation using an ensemble technique (Supervised Learning model), which is widely known as Random Forest Regression. (⭐ 9)
arxiv.org/abs/1706.08879v1
Investigating America Online Instant Messaging Application: Data Remnants on Win…
Instant messaging applications (apps) are one potential source of evidence in a criminal investigation or a civil litigation. To ensure the most effective collection of evidence, it is vital for forensic practitioners to possess an up-to-date knowled...
arxiv.org/abs/2204.11022v1
Towards Data-Free Model Stealing in a Hard Label Setting
Machine learning models deployed as a service (MLaaS) are susceptible to model stealing attacks, where an adversary attempts to steal the model within a restricted access framework. While existing attacks demonstrate near-perfect clone-model performa...
arxiv.org/abs/2210.00743v2
An Embarrassingly Simple Approach for Intellectual Property Rights Protection on…
Capitalise on deep learning models, offering Natural Language Processing (NLP) solutions as a part of the Machine Learning as a Service (MLaaS) has generated handsome revenues. At the same time, it is known that the creation of these lucrative deep m...
www.bing.com/ck/a?!&&p=53347a6c100bc2ca57e91f49091996d25d30ce63589efe8c782968a34f97cad7JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=08cf4940-c485-6a3d-02cc-5e55c5ba6bf7&u=a1aHR0cHM6Ly9zb2NpYWwubXNkbi5taWNyb3NvZnQuY29tL0ZvcnVtcy9henVyZS9lbi1VUy82M2QyZDg2OS1lMGZhLTQzMGYtOWZlNC03YTZkMDM0YzI2OTgvaW50ZXJuZXQtc3BlZWQtaXMtdmVyeS1zbG93P2ZvcnVtPVdBVmlydHVhbE1hY2hpbmVzZm9yV2luZG93cw&ntb=1
Internet speed is very slow - social.msdn.microsoft.com
Jun 7, 2018 · The internet speed in Azure Virtual Machine is very slow. Say download speed is 3Mbps and upload is around 1 Mbps.
arxiv.org/abs/2212.06470v3
Position: Considerations for Differentially Private Learning with Large-Scale Pu…
The performance of differentially private machine learning can be boosted significantly by leveraging the transfer learning capabilities of non-private models pretrained on large public datasets. We critically review this approach. We primarily que...
github.com/padamson/rwml-R
padamson/rwml-R
R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning" (⭐ 61)
arxiv.org/abs/2409.10523v1
Harnessing Artificial Intelligence for Wildlife Conservation
The rapid decline in global biodiversity demands innovative conservation strategies. This paper examines the use of artificial intelligence (AI) in wildlife conservation, focusing on the Conservation AI platform. Leveraging machine learning and compu...
arxiv.org/abs/2006.07357v2
Hindsight Logging for Model Training
In modern Machine Learning, model training is an iterative, experimental process that can consume enormous computation resources and developer time. To aid in that process, experienced model developers log and visualize program variables during train...
www.bing.com/ck/a?!&&p=28affec065a63df8c2dc3fb2daf095846c7ea47c9b258e804dd45853dc6d4ab2JmltdHM9MTc3Mjg0MTYwMA&ptn=3&ver=2&hsh=4&fclid=3b899a9c-a578-6af6-114c-8d89a4fe6bec&u=a1aHR0cHM6Ly9zdGFja292ZXJmbG93LmNvbS9xdWVzdGlvbnMvNTE4MTg0NS9naXQtcHVzaC1leGlzdGluZy1yZXBvLXRvLWEtbmV3LWFuZC1kaWZmZXJlbnQtcmVtb3RlLXJlcG8tc2VydmVy&ntb=1
Git push existing repo to a new and different remote repo server?
Mar 3, 2011 · Create a new repo at github. Clone the repo from fedorahosted to your local machine. git remote rename origin upstream git remote add origin URL_TO_GITHUB_REPO git push origin …
arxiv.org/abs/2105.04381v1
Did I delete my cookies? Cookies respawning with browser fingerprinting
Stateful and stateless web tracking gathered much attention in the last decade, however they were always measured separately. To the best of our knowledge, our study is the first to detect and measure cookie respawning with browser and machine finger...
en.wikipedia.org/wiki/Voith
Voith - Wikipedia
machines Automation for the entire paper manufacturing process, e.g., process and quality control systems, sensors and scanners Paper machine clothing (e.g.