Last year, we (a couple of people who knew nothing about how voice search works) set out to make a video about the research that’s gone into teaching computers to recognize speech and understand language.
Making the video was eye-opening and brain-opening. It introduced us to concepts we’d never heard of – like machine learning and artificial neural networks – and ever since, we’ve been kind of fascinated by them. Machine learning, in particular, is a very active area of Computer Science research, with far-ranging applications beyond voice search – like machine translation, image recognition and description, and Google Voice transcription.
So… still curious to know more (and having just started this project) we found Google researchers Greg Corrado and Christopher Olahand ambushed them with our machine learning questions.
micro
notepad-2015-week-38
It’s been a beautiful weekend, like the summer’s not ready to let go, I’ve been outside, mostly, hacking at the hedges. Pleasant but very tiring.
Within the space of a week UK politics has changed completely which is a breath of fresh air whether you agree with the direction or not. You can tell how much it has changed by the level of hysterical outrage in the old school press. It can be difficult to take your eyes off the news. Fun times.
If your not watching This Is England ’90, do yourself a favour and get with it. When it’s done, it’s done.
Social Media-ed
https://www.facebook.com/burningfp
News
Listened
Bookmarked
Twitter and Instagram users can learn a lot from a 1920s journalist – Paul Mason/A Graphic Account of Roxane Gay and Erica Jong’s Uncomfortable Conversation by Mari Naomi/Meet the Artist Making GIFs to Ridicule All the Shit Women Deal With: Isabel Chiara/The Tsarnaev trial: Drawing a line/Hunter S Thompson on Now, from the Past/Jeremy Corbyn’s new PMQs has Tory MPs turning to tranquil pursuits like sketching MPs/’Ukraine’s Banksy’ on his time imprisoned by separatist rebels – in pictures/Megan Nicole Dong – “I’ve been doing a series of comics about men being deceived by makeup.”/Judy Pfaff/
Always Tumbling at TheElectronicalRattleBag
I can relate to this:
notepad-2015-week-37
Wondered
Why does anyone share anything ever. Does it help people? These are all thoughts and findings and I collected them over time and then here they are. What I thought was worth passing on. Perhaps I should be weaving it into some kind of artful enterprise, but for the moment there is only this. A list. I’m work on making more stuff, but there is very little time, it’s not easy. I’m posting “daily” sketches at Instagram, so follow me there if you like.
Haunted
I have to say I have been haunted by these two renderings from real time tech leonardo, Kyle McDonald. When I was little I remember imagining animation as it might be if each frame was as detailed as an oil painting, it didn’t take much practical experience for me to realise that such ideas would lead to certain doom of endless work, no friends and little result.
Bring on neural network analysis, the Inception Network and Google’s Deep Dream. This from the Bethge Lab.
In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image. Thus far the algorithmic basis of this process is unknown and there exists no artificial system with similar capabilities. However, in other key areas of visual perception such as object and face recognition near-human performance was recently demonstrated by a class of biologically inspired vision models called Deep Neural Networks. Here we introduce an artificial system based on a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images. Moreover, in light of the striking similarities between performance-optimised artificial neural networks and biological vision, our work offers a path forward to an algorithmic understanding of how humans create and perceive artistic imagery.
(quote via)
and the algorithm, the dream doings that wre blowing people away a month or so ago there are people around the word making this mad math work on images like this, and as you can read here, it’s not at After Effects plug-in utility level yet (there appears to be many lvels of adjustment and feedback loops), but i’m sure it’s only a matter of time and several levels of genius away.
Most of me is hoping it’ll never be that easy.
Heads up from Prosthetic Knowledge.
Bookmarked
This job is so cool because it’s about imagination, then destruction/The Groundbreaking Silhouette Animations of Lotte Reiniger/ Remove Water Stains From Wood Furniture with Mayonnaise/40 reasons why you should blog about your research/Mijn Begrafenis (My Funeral) by Maarten De Saeger (Bries)/ The Uber Endgame/Interview: The Diary of a Teenage Girl Author Phoebe Gloeckner/ Bringing International Communities Together Via the Medium of Comics – Wallis Eates on Connecting Teenagers Across the Commonwealth through Sequential Art/Debt is Good by Paul Krugman/Early Humans Made Animated Art/Could virtual reality revolutionise crisis-response filmmaking?/ Mutually Assured Content – In 2015, the illusion of audience ownership is becoming harder to sustain/ Spalding Gray’s Catastrophe by Oliver Sacks, ‘This only happened because people organized.’ – Nail salon workers speak out after NYT exposé by Sukjong Hong/Fette Sans Website back online/Jared Muralt – Sketchbook/Collaborative Self-Contained-Self-Portrait in the That Sea of Multiplicity – Traci Matlock/Linn Myers – Drawings/ Spinning Daggers by Benjamin Ducroz via Jim Le Fevre/
Curated
Tumbling daily since March 2008 at The Electronical Rattle Bag.
Read
1Q84 by Haruki Marukami
Autobiography by Morissey
A Picture Of Dorian Gray by Oscar Wilde
Frankenstein by Mary Shelly
The Arrival by Shaun Tan
Persuasion by Jane Austen
Currently reading: Oliver Twist, Post-Capitalism: A Guide To Our Future, Human Diastrophism
Listened
All I know by Soul Sugar featuring Courtney John
Be kind, it’s free.
“Move Systems” by Georgia (2015)
who continued to work as both a plumber and a taxi driver until his late 40s
“While working, I suddenly heard a noise and looked up to find Robert Hughes, the art critic of Time magazine, staring at me in disbelief. ‘But you’re Philip Glass! What are you doing here?’ It was obvious that I was installing his dishwasher and I told him I would soon be finished. ‘But you are an artist,’ he protested. I explained that I was an artist but that I was sometimes a plumber as well and that he should go away and let me finish.”
“Collaborative Self-Contained-Self-Portrait in That Sea of Multiplicity” – 2015
reblogging thebodyasconduit:
“”We abide by cultural directives that urge us: clarify each thought, each experience, so you can cull from them their single dominant meaning and, in the process, become a responsible adult who knows what he or she thinks.
“But what I try to show is the opposite: how at every moment, the world presents us with a composition in which a multitude of meanings and realities are available, and you are able to swim, lucid and self-contained, in that turbulent sea of multiplicity.”
Richard Foreman
*
Collaborative Self-Contained-Self-Portrait in That Sea of Multiplicity
2015
film”
Music suitable for a #seasonal transit v2.0
Hold on tight, everything’s changing again. The only thing that never changes, is that everything changes.
So I started Autumn playlists on multiple platforms, because you never know when one of them is going to go down. I’ve been trying Apple Music, I’m not sure it’s quite ready. But I do love Josh Homme’s marvellous Alligator Hour.
As always a full comprehensive playlist for the long gone summer is here on Whyd, and Autumn has already begun.
The Fall – Black Monk Theme Part 1
William Onyeabor – better change your mind
Harold Melvin & The Bluenotes – Get Out (And Let Me Cry)
Courtney Barnett – Pedestrian at Best
The Polyversal Souls – Goin’ In (feat. Afrika Baby Bam)
Paul Greer 