Posts Tagged: ai

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William Hertling on AI Risks

William Hertling, author of the Singularity Series books and the recent techno-crime thriller Kill Process earlier this year shared a few of his thoughts regarding artificial (general) intelligence (AI / AGI) and the hazards as well as ethical ramifications and quandaries that the emergence of AI / AGI might give rise to. In Ten Musings on AI Risks William broaches both pragmatic subjects such as risk mitigation and deeper moral questions. In his (and my ...) opinion rather than artificially slowing down ... Read more

Mario Klingemann @ beyond tellerrand 2017 – Machimaginarium

Machimaginarium – Mario Klingemann – btconfDUS2017 from beyond tellerrand on Vimeo. Read more

Design & Quantum Superposition

Last year, Hungarian designer Csongor Bartus published a thought-provoking article I've only recently come across. Quantum mechanics and design are two words you don't often see juxtaposed and probably rightfully so. No, I've not gone crazy and I'm not going to go down some weird esoteric "Quantum Design" rabbit hole here. However, Csongor borrows the term superposition from quantum mechanics as a metaphor for an interesting new angle on design for the web: To cut in, let's equip all content with all states ... Read more

I don’t want an app for that

Scott Adams of Dilbert fame recently posted an article on why your phone interface is a legacy train wreck. He argues that the way we interact with our smartphones goes all the way back to the beginning of desktop computing. In spite of what Apple probably would have us believe - in spite of swiping, tapping and multitouch - we're still largely using our computing devices as if they were a 1987 IBM PC running Microsoft Word or Excel: When trying ... Read more

Deep Learning for NLP

Richard Socher, Chris Manning and Yoshua Bengio have created a tutorial on "Deep Learning for NLP (without Magic)". The tutorial includes slides and two videos of talks held on the subject. It deals with how deep learning algorithms can be applied in natural language processing. Deep learning is a set of algorithms and models which work under the assumption that observed data is generated from multiple layers of hidden representations that interact with each other. Although not really new and for some ... Read more