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Drag-and-drop data analytics | MIT News
In the Iron Man movies, Tony Stark uses a holographic computer to project 3-D data into thin air, manipulate them with his hands, and find fixes to his superhero troubles. via Pocket
analysis  deep  interactive  ml  tools 
12 days ago by kintopp
Paper submission is now open - please use this site to submit your paper! via Pocket
analysis  art  arthistory  cfp  conference  germany  images  ml  recognition 
4 weeks ago by kintopp
A Word is Worth a Thousand Vectors | Stitch Fix Technology – Multithreaded
Standard natural language processing (NLP) is a messy and difficult affair. It requires teaching a computer about English-specific word ambiguities as well as the hierarchical, sparse nature of words in sentences. At Stitch Fix, word vectors help computers learn from the raw text in customer notes. via Pocket
analysis  learn  ml  nlp  text 
5 weeks ago by kintopp
Rasa: Open source conversational AI - Rasa
Automate text-and voice-based conversations end-to-end, integrate with your APIs, and connect to any channel. Join our friendly, fast-growing developer community. We can learn a lot from each other. via Pocket
chatbot  ml  open  source 
5 weeks ago by kintopp
Better Language Models and Their Implications
February 14, 2019Better Language Models and Their Implications We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine tr via Pocket
algorithm  debates  ethics  ml  text 
5 weeks ago by kintopp
iART: Ein interaktives Analyse- und Retrieval-Tool zur Unterstützung von bildorientierten Forschungsprozessen
analysis  art  arthistory  germany  images  ml  munich  neural 
5 weeks ago by kintopp
KB College: AI en de Bibliotheek - de computer leest alles | Koninklijke Bibliotheek
Je zou denken dat deze begrippen niet verder uit elkaar kunnen liggen: de Bibliotheek en Artificial Intelligence (AI). De Bibliotheek is een eeuwenoud en betrouwbaar instituut. AI is een nieuwe technologie die zich razendsnel ontwikkelt, met veel onzekerheid over de kansen en risico’s. via Pocket
conference  deep  diglib  libraries  netherlands  ml 
7 weeks ago by kintopp
Is Ethical A.I. Even Possible? - The New York Times
HALF MOON BAY, Calif. — When a news article revealed that Clarifai was working with the Pentagon and some employees questioned the ethics of building artificial intelligence that analyzed video captured by drones, the company said the project would save the lives of civilians and soldiers. via Pocket
deep  ethics  ml 
9 weeks ago by kintopp
Interpretable Machine Learning
Machine learning has great potential for improving products, processes and research. But computers usually do not explain their predictions which is a barrier to the adoption of machine learning. This book is about making machine learning models and their decisions interpretable. via Pocket
analysis  deep  methodology  ml 
9 weeks ago by kintopp
AI, Ethics And Society –
Last week we held a conference on AI, Ethics and Society at the University of Alberta. As I often do, I kept conference notes at: : AI Ethics And Society. The conference was opened by Reuben Quinn whose grandfather signed Treaty 6. via Pocket
canada  conference  deep  ethics  ml 
9 weeks ago by kintopp
Machine Learning Crash Course  |  Google Developers
Machine Learning Crash Course features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. via Pocket
google  learn  lecture  ml 
11 weeks ago by kintopp
Deutscher Bundestag - Enquete-Kommission „Künstliche Intelligenz“
Der Bundestag greift mit der Enquete-Kommission „Künstliche Intelligenz – Gesellschaftliche Verantwortung und wirtschaftliche, soziale und ökologische Potenziale“ eine der zentralen Debatten unserer Zeit auf. via Pocket
culture  ethics  funding  germany  policies  report  ml 
may 2019 by kintopp
Image and Ground Truth Resources - IMPACT Centre of Competence
The Impact Centre of Competence dataset contains more than half a million representative text-based images compiled by a number of major European libraries. via Pocket
datasets  digitization  images  ocr  text  ml 
may 2019 by kintopp
The MLIF Book — Machine Learning is Fun!
Machine Learning is Fun! The Book This book is for anyone who is curious about machine learning and artificial intelligence. via Pocket
books  dev  howto  learn  python  statistics  ml 
may 2019 by kintopp
Introduction — The Straight Dope 0.1 documentation
Before we could begin writing, the authors of this book, like much of the work force, had to become caffeinated. We hopped in the car and started driving. Having an Android, Alex called out “Okay Google”, awakening the phone’s voice recognition system. via Pocket
dev  learn  documentation  ml 
may 2019 by kintopp
Manuscripts are among the most important witnesses to our European shared cultural heritage. Despite a large digitization, the wealth of their content remains largely inaccessible : current handwritten text recognition technology is not accurate enough to allow full text search. via Pocket
ml  ocr  recognition  text 
may 2019 by kintopp
Detecting Footnotes in 32 million pages of ECCO « CA: Journal of Cultural Analytics
Clusters: Data, Image Article DOI: 10.22148/16.029 Dataverse DOI: 10.7910/DVN/FMZYFP Journal ISSN: 2371-4549 Cite: Sherif Abuelwafa, Sara Zhalepour, Ehsan Arabnejad, Mohamed Mhiri, Emilienne Greenfield, James P. via Pocket
analysis  ml  neural  text 
april 2019 by kintopp
Why an Age of Machine Learning Needs the Humanities | Public Books
It isn’t easy to be a citizen in 2018. We are told to watch out for bots and biased search engines, but skepticism about new media can also make us easy prey for old-fashioned propaganda. via Pocket
humanities  methodology  ml 
march 2019 by kintopp
Better Language Models and Their Implications
We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine tr via Pocket
algorithm  debates  ethics  text  ml 
february 2019 by kintopp
Learning Dexterity No. 15 Jul 30 2018 View research Improving Language Understanding with Unsupervised Learning No. 14 Jun 11 2018 View research OpenAI Charter No. via Pocket
deeplearning  ethics  ml 
february 2019 by kintopp
Introducing Ludwig, a Code-Free Deep Learning Toolbox | Uber Engineering Blog
Over the last decade, deep learning models have proven highly effective at performing a wide variety of machine learning tasks in vision, speech, and language. via Pocket
deeplearning  ml  tools 
february 2019 by kintopp
Experienced users have deep control over model building and training, while newcomers will find it easy to use. via Pocket
deeplearning  ml  tools 
february 2019 by kintopp
iArt: Ein interaktives Analyse- und Retrieval-Tool zur Unterstützung von bildorientierten Forschungsprozessen
analysis  art  arthistory  germany  images  munich  ml  deep 
february 2019 by kintopp
In July, 2015, Epstein and Robertson published a widely acknowledged study on how much a biased search engine result ranking can shift undecided voters towards one candidate [1]. via Pocket
algorithm  debates  ethics  ml  policies 
january 2019 by kintopp
HuC LIVE! 2018 Keynote - YouTube
Keynote of Antal van den Bosch atHuC LIVE! 2018 at the Compagnietheater in Amsterdam about Cultural AI. via Pocket
deeplearning  humanities  knaw  ml  netherlands  talk 
december 2018 by kintopp
Projects | odoma
Odoma is closely collaborating with The Olympic Studies Centre on the conceptualisation of an Olympic knowledge platform, on which users should be able to search, engage, create and share Olympic knowledge. The development of this project is expected to start in the course of 2018. via Pocket
consulting  culture  europe  ml  neural 
december 2018 by kintopp
Introduction | Machine Learning for Creativity and Design
Over the past few years, generative machine learning and machine creativity have continued grow and attract a wider audience to machine learning. via Pocket
conference  creative  ml  neural 
december 2018 by kintopp
Annif - tool for automated subject indexing and classification
Annif is a statistical automated indexing tool for libraries, archives and museums. After feeding it a SKOS vocabulary and existing openly available metadata from the Finna search engine for library, archive and museum collections, it knows how to assign subjects for new documents. via Pocket
analysis  classification  finland  indexing  ml  nlp  text  tools  vocabularies 
november 2018 by kintopp
Supervised Classification: The Naive Bayesian Returns to the Old Bailey | Programming Historian
As of August 2016, the Old Bailey Online experienced some issues that are currently being resolved by their project team. One of those issues includes the temporary suspension of the API which are used as the basis of this tutorial. via Pocket
history  learn  ml  text  uk 
november 2018 by kintopp
Getting Started With Machine Learning — Smashing Magazine
What are the fundamentals of machine learning, and what are the necessary tools to evaluate risk and other concerns in a machine learning application? This article covers everything you need to get started. via Pocket
learn  ml 
november 2018 by kintopp
[1611.05118] The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives
Authors:Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan Boyd-Graber, Hal Daumé III, Larry Davis v1), last revised 7 May 2017 (this version, v2)) Abstract: Visual narrative is often a combination of explicit information and judicious omissions, relying on the vie via Pocket
comics  datasets  images  learn  ml  narrative  paper  text 
november 2018 by kintopp
Helping straight from the outset, Archetype’s batch uploading allows you to bring multiple digital images into your repository in a single pass, avoiding repetitive and error-prone manual uploads. via Pocket
annotation  classification  handwriting  images  manuscripts  recognition  text  tools  ml 
november 2018 by kintopp
A text annotation tool to train AI
Quickly teach AI machines to recognize relevant information in text. Point to the text you want to import (web pages, known document repositories -e.g. PubMed-, etc.) or upload your own files (PDFs, XML, etc.). via Pocket
data  editing  nlp  text  tools  ml 
november 2018 by kintopp
Weakly Supervised Object Detection in Artworks
We propose a method for the weakly supervised detection of objects in paintings. At training time, only image-level annotations are needed. This enables one to learn new classes on-the-fly from globally annotated databases, avoiding the tedious task of manually marking objects. We also introduce a new database, IconArt, on which we perform detection experiments on classes that could not be learned on photographs, such as Jesus Child or Saint Sebastian. To the best of our knowledge, these are the first experiments dealing with the automatic (and in our case weakly supervised) detection of iconographic elements in paintings.
art  iconography  images  paper  recognition  arthistory  ml 
november 2018 by kintopp
ICDAR2017 Competition on Layout Analysis for Challenging Medieval Manuscripts | HisDoc Projects
July 18th: The private test set for all Tasks is now available for download. June 28th: New Evaluation tool for Task 1 is now available as open source on GitHub. June 28th: New pixel-labeled ground truth files for Task 1 are available for download. via Pocket
datasets  manuscripts  ml 
november 2018 by kintopp
TensorFlow For Poets
TensorFlow is an open source library for numerical computation, specializing in machine learning applications. In this codelab, you will learn how to run TensorFlow on a single machine, and will train a simple classifier to classify images of flowers. via Pocket
classification  humanities  images  learn  python  ml 
november 2018 by kintopp
scikit-learn: machine learning in Python — scikit-learn 0.19.2 documentation
Identifying to which category an object belongs to. Predicting a continuous-valued attribute associated with an object. via Pocket
dev  learn  python  resources  ml 
september 2018 by kintopp
Learning useful representations from highly structured objects such as graphs is useful for a variety of machine learning applications. Besides reducing the engineering effort, these representations can lead to greater predictive power. via Pocket
graphs  networks  tools  ml 
august 2018 by kintopp
Representation Learning on Networks
Researchers in network science have traditionally relied on user-defined heuristics to extract features from complex networks (e.g., degree statistics or kernel functions). via Pocket
graphs  learn  networks  ml 
august 2018 by kintopp
Introduction to Local Interpretable Model-Agnostic Explanations (LIME) - O'Reilly Media
Check out the Data science and machine learning sessions at Strata Data in New York, September 25-28, 2017, for more on current trends and practical use cases in applied data science. Machine learning is at the core of many recent advances in science and technology. via Pocket
methodology  models  ml  deep 
august 2018 by kintopp
Where Computer Vision Meets Art
4th Workshop on Computer Vision for Art Analysis
9th September 2018, Munich, Germany
analysis  art  arthistory  cfp  conference  deep  germany  images  recognition  ml 
july 2018 by kintopp
Machine Learning, Training Data, and Artificial Intelligence Platform
CrowdFlower is now Figure Eight. Learn more. Our Human-in-the-Loop platform trains, tests, and tunes machine learning models for the most innovative companies in the world. via Pocket
crowdsourcing  datasets  ml 
july 2018 by kintopp
Visual Dialog
Visual Dialog is a novel task that requires an AI agent to hold a meaningful dialog with humans in natural, conversational language about visual content. Specifically, given an image, a dialog history, and a follow-up question about the image, the agent has to answer the question. via Pocket
analysis  dialog  images  language  ml 
july 2018 by kintopp
One-shot object detection
This is more advanced than classification, which only tells you what the “main subject” of the image is — whereas object detection can find multiple objects, classify them, and locate where they are in the image. via Pocket
analysis  images  learn  recognition  classification  ml  deep 
june 2018 by kintopp
Paperspace: Cloud Machine Learning, AI, and effortless GPU infrastructure.
We are building out the world's most powerful GPU cloud. Accelerate your ML, AI, and data science workflow. Paperspace is trusted by some of the world's most respected companies. Learn more about how Paperspace can work for your business. via Pocket
cloud  gpu  infrastructure  ml  deep 
june 2018 by kintopp
Wekinator | Software for real-time, interactive machine learning
The Wekinator is free, open source software originally created in 2009 by Rebecca Fiebrink. It allows anyone to use machine learning to build new musical instruments, gestural game controllers, computer vision or computer listening systems, and more. via Pocket
analysis  art  games  images  interactive  tools  ml 
june 2018 by kintopp
Runway | Machine Learning for Everyone
Open-source state of the art machine learning models you can use everywhere.
art  demos  learn  osx  tools  ml 
june 2018 by kintopp
Distill About Prize Submit Feature Visualization How neural networks build up their understanding of images Feature visualization allows us to see how GoogLeNet, trained on the ImageNet dataset, builds up its understanding of images over many layers. via Pocket
cognition  learn  ml  visualization 
may 2018 by kintopp
Can A.I. Be Taught to Explain Itself? - The New York Times
In September, Michal Kosinski published a study that he feared might end his career. The Economist broke the news first, giving it a self-consciously anodyne title: “Advances in A.I. Are Used to Spot Signs of Sexuality.” But the headlines quickly grew more alarmed. via Pocket
cognition  methodology  ml  teach 
may 2018 by kintopp
A machine learning powered experiment that finds 'connections' between artworks from the Ars Electronica Archive.
art  demos  images  recognition  visualization  ml 
may 2018 by kintopp
The European Artificial Intelligence landscape | Digital Single Market
In January 2018, the Commission in cooperation with the European Association for Artificial Intelligence (EurAI) organised a workshop to take stock of the current state of the field of artificial intelligence (AI) in Europe, and to identify opportunities for pan-European collaboration, capitalising via Pocket
europe  infrastructure  ml  report 
may 2018 by kintopp
Artificial intelligence: Commission outlines a European approach to boost investment and set ethical guidelines
Today the European Commission is presenting a series of measures to put artificial intelligence (AI) at the service of Europeans and boost Europe's competitiveness in this field. via Pocket
europe  funding  h2020  infrastructure  ml  deep 
may 2018 by kintopp
Initiative to establish a European Lab for Learning & Intelligent Systems
We are at a crossroads where machine learning is at the heart of a technological and societal artificial intelligence revolution involving multiple sister disciplines, with large implications for the future competitiveness of Europe, Europe is not keeping up: most of the top labs, as well as the to via Pocket
europe  infrastructure  ml 
may 2018 by kintopp
Program | AVinDH SIG
Please find below the preliminary schedule of the workshop including links to the full abstracts of the presenters. We will start by introducing basic notions about the challenges of computer vision. Also we will get a feeling of the simple, low level operations necessary for the next stage. via Pocket
analysis  art  arthistory  conference  images  ml  netherlands 
may 2018 by kintopp
Holding Out for a CV Hero: The Frick Computer Vision Symposium - Matthew Lincoln, PhD
16 Apr 2018What follows are some informal notes I jotted down after moderating a symposium at The Frick Collection’s Digital Art History Lab called “Searching Through Seeing: Optimizing Computer Vision Technology for the Arts” Everyone wants visual search, and a lot of people are doing it. via Pocket
analysis  arthistory  conference  images  ml  report  usa 
may 2018 by kintopp
My review of Microsoft’s data science virtual machine (DSVM) for deep learning - PyImageSearch
Over the past few months, I’ve been using Microsoft’s Ubuntu deep learning and data science virtual machine (DSVM) for a few projects I’m working on here at PyImageSearch. via Pocket
cloud  computing  infrastructure  microsoft  vm  ml 
may 2018 by kintopp
Previous versions of ConceptNet were a home-grown crowd-sourced project, where we ran a Web site (Open Mind Common Sense) collecting facts from people who came to the site. The Web of Data is much bigger than that now. via Pocket
concepts  graphs  linkeddata  ontology  open  access  semantic  ml 
may 2018 by kintopp
CFP Art History + Data Science Conference
Data mining and knowledge discovery from large and complex data sets including visual images have advanced significantly in the past several years. via Pocket
analysis  art  arthistory  cfp  conference  germany  images  metadata  ml 
may 2018 by kintopp
Machine Learning: The Wolfram Approach
Top performance Wolfram Machine Learning uses the latest methods and libraries, with full support for GPUs and emerging hardware and software standards Full spectrum of methods State-of-the-art support for classic machine-learning methods (logistic regression, SVM, random forests, ... via Pocket
learn  wolfram  ml 
april 2018 by kintopp
KI: Warum Menschen schneller sind | Technology Review
Computer zeigen bei immer mehr Aufgaben bessere Leistungen als Menschen, doch sie brauchen viel länger, um sie zu erlernen. Wie eine wissenschaftliche Studie zeigt, liegt das an fehlendem Vorwissen der Maschinen. via Pocket
algorithm  games  methodology  ml 
april 2018 by kintopp
COST | Distant Reading for European Literary History
This Action’s challenge is to create a vibrant and diverse network of researchers jointly developing the resources and methods necessary to change the way European literary history is written. Grounded in the Distant Reading paradigm (i.e. via Pocket
analysis  datasets  europe  literature  text  ml 
april 2018 by kintopp
A Theory of Vibe — Glass Bead
Across the foliated space of the twenty-seven equivalents, Faustroll conjured up into the third dimension: From Baudelaire, E. A. Poe’s Silence, taking care to retranslate Baudelaire’s translation into Greek. via Pocket
learn  ml  neural  text 
march 2018 by kintopp
Microsoft Azure Cognitive Services
Infuse your apps, websites and bots with intelligent algorithms to see, hear, speak, understand and interpret your user needs through natural methods of communication.
api  language  recognition  speech  dev  algorithm  ml  deep 
march 2018 by kintopp
Using convolutional neural nets to detect facial keypoints tutorial — Daniel Nouri's Blog
This is a hands-on tutorial on deep learning. Step by step, we'll go about building a solution for the Facial Keypoint Detection Kaggle challenge. The tutorial introduces Lasagne, a new library for building neural networks with Python and Theano. via Pocket
howto  recognition  ml 
march 2018 by kintopp
Distill — Latest articles about machine learning
By creating user interfaces which let us work with the representations inside machine learning models, we can give people new tools for reasoning. How neural networks build up their understanding of images. via Pocket
learn  resources  ml 
march 2018 by kintopp
Machine Learning Glossary  |  Google Developers
This glossary defines general machine learning terms as well as terms specific to TensorFlow. A statistical way of comparing two (or more) techniques, typically an incumbent against a new rival. via Pocket
learn  ml 
march 2018 by kintopp
Seebibyte Project
As the project progresses we will add full details on this website about our new software releases. In advance, here is a taster of previous software demonstrations. via Pocket
images  oxford  recognition  ml 
march 2018 by kintopp
The 7 best deep learning books you should be reading right now - PyImageSearch
In today’s post I’m going to share with you the 7 best deep learning books (in no particular order) I have come across and would personally recommend you read. via Pocket
books  learn  ml  neural 
march 2018 by kintopp
Belgian AI for Cultural Heritage Doctoral Post
The Departments of Literature and Linguistics (Faculty of Arts and Philosophy) of the University of Antwerp are seeking to fill a full-time (100%) vacancy for a Doctoral Grant in the area of machine/deep learning, language technology, and/or computer vision for enriching heritage collections.
belgium  culture  dissertations  ml 
february 2018 by kintopp
Nanne van Noord publications
Nanne van Noord. Postdoc, University of Amsterdam
Machine Learning Computer Vision Representation Learning
analysis  art  images  netherlands  ml  deep 
january 2018 by kintopp
Eric Postma | Artificial Intelligence Researcher | JADS & Tilburg University
Eric Postma (1961) is a professor in Artificial Intelligence at the Cognitive Science & AI department at Tilburg University and at the Jheronimus Academy of Data Science in ‘s-Hertogenbosch. He received his M.Sc. via Pocket
analysis  art  images  netherlands  research  ml  deep 
january 2018 by kintopp
Towards Data Science
Towards Data Science. Sharing concepts, ideas, and codes
algorithm  learn  resources  statistics  ml 
january 2018 by kintopp
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