"Building machines that see, learn, and think like people" - talk by Josh Tenenbaum. #ML
tag > ML
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"EvoFashion: Customising Fashion Through Evolution" #ML #Generative
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"Talking Drums: Generating drum grooves with neural networks": https://arxiv.org/pdf/1706.09558.pdf #ML #Generative #Music
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"Automated Antenna Design with Evolutionary Algorithms": - by NASA (2006) alglobus.net/NASAwork/papers/Space2006Antenna.pdf #ML
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Exploratory Modeling with Collaborative Design Spaces:
graphics.stanford.edu/~lfyg/cds.pdf #ML #Generative
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"How Automation and Artificial Intelligence Strips us of our Humanity": https://medium.com/intuitionmachine/how-automation-and-artificial-intelligence-strips-us-of-our-humanity-352a9b92b873 #ML
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What an ‘infinite’ AI-generated podcast can tell us about the future of entertainment:
‘It is a universe that is accessible only to you. No one has beheld it before and no one will behold it again’
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"The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities": arxiv.org/abs/1803.03453 #ML
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"Class Warfare 2.0 - The last job on Earth": https://wsimag.com/science-and-technology/33130-class-warfare-2-dot-0 #ML #Automation
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First Foray into Neuroscience - Deep Image Reconstruction from Human brain activity:
http://www.sashasheng.com/blog/2018-3-6-first-foray-into-neuroscience-deep-image-reconstruction-from-human-brain-activity #ML #BCI
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The Lighthill debate on Artificial Intelligence: "The general purpose robot is a mirage" #ML
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Familiarisation: Restructuring Layouts with Visual Learning Models:
www.kashyaptodi.com/familiarisation/ #ML
Abstract: "In domains where users are exposed to large variations in visuo-spatial features among designs, they often spend excess time searching for common elements (features) in familiar locations. This paper contributes computational approaches to restructuring layouts such that features on a new, unvisited interface can be found quicker. We explore four concepts of familiarisation, inspired by the human visual system, to automatically generate a familiar design for each user. Given a history of previously visited interfaces, we restructure the spatial layout of the new (unseen) interface with the goal of making its elements more easily found. Familiariser is a browser-based implementation that automatically restructures webpage layouts based on the visual history of the user. Our evaluation with users provides first evidence favouring familiarisation."
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Forging connections between human and machine intelligence research, its applications, and its bearing on society: https://intelligencequest.mit.edu
The MIT Intelligence Quest will advance the science and engineering of both human and machine intelligence. Launched on February 1, 2018, this effort seeks to discover the foundations of human intelligence and drive the development of technological tools that can positively influence virtually every aspect of society.
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Probabilistic Programming & Bayesian Methods for Hackers: https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/ #ML
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The Malicious Use of Artificial Intelligence:
Forecasting, Prevention, and MitigationThe report was written by 26 authors from 14 institutions, spanning academia, civil society, and industry. The report builds on a 2 day workshop held in Oxford, UK, in February 2017. More information can be found in Appendix A of the report.
Site: https://maliciousaireport.com
Research: https://arxiv.org/pdf/1802.07228.pdf
#ML #Ethics #Research -
#Prediction: In 2018 someone will start a new porn site, which 100% focuses on "fake" videos, generated with machine learning. It will be the most popular adult site online by 2021. #ML #Culture #Generative
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Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories:
https://homes.cs.washington.edu/~ansross/papers/iui2018-creativewriting.pdfAs the quality of natural language generated by artifcial intelligence systems improves, writing interfaces can support interventions beyond grammar-checking and spell-checking, such as suggesting content to spark new ideas. To explore the possibility of machine-in-the-loop creative writing, we performed two case studies using two system prototypes, one for short story writing and one for slogan writing. Participants in our studies were asked to write with a machine in the loop or alone (control condition).
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The UX of AI: Using Google Clips to understand how a human-centered design process elevates artificial intelligence: https://design.google/library/ux-ai/ #HCI #ML
