• By Sin Mei C
  • January 5, 2015

Hiring, renormalization, how touchscreens reshape our sensory processing and a dance performance that moves even pixels (#WIC)

This Week in Context we are hiring a VP of Sales Europe and additional Data Scientist, have a look at our industry’s must-know tech trends for 2014 and learn about renormalization, and how our smartphone usage is reshaping our brain’s sensory processing for our thumbs.

This Week in Context

Your Weekly Update on All Things Context, January 5, 2015

Welcome to the first Week in Context for 2015. We hope you enjoyed the holidays, and wish you the best for the New Year. What major trends in technology are we anticipating at Argus for 2015? More and ambient machine intelligence, highly personalized and anticipatory mobile experiences, the Internet of Everything, privacy as a cornerstone and the rise of pre-targeting.

Read A Look Into the Near-Future: 5 Strategic Tech Trends for 2015 and find out more about how these trends will move to mainstream. Of course, we will make sure to pay special attention to these five subjects in the Week in Context this year.

For us, 2015 will be earmarked by continuing to transform our ambitions into results. In order to support this growth and traction, we are looking for driven candidates that aim to make a dent in the universe and be at the forefront of context-aware computing. More specifically, we’re looking to hire a Senior Data Scientist and a VP Sales EMEA.

If this is you, contact us! You can help us find the best two candidates by sharing this in your network, or – if you know of someone who fits one of these positions and whose New Year resolutions include to step outside of their comfort zone and take a once in a lifetime opportunity to turn a startup into a global company please – asking this person to contact us at jobs@sentiance.com or through LinkedIn. Thank you!


“Maybe there is some universal logic to how you can pick out relevant features from data.”

Pankaj Mehta
Quoted in QuantaMagazine

Three Must-Reads

1. Renormalization and the common logic to seeing cats and the cosmos

Quanta Magazine covers new research that demonstrates a statistical technique called ‘renormalization’ which allows physicists to accurately describe systems without knowing the exact state of all their component parts, and also enables the artificial neural networks to categorize data as, say, “a cat” regardless of its color, size or posture in a given video.

2. The Breakthrough in Artificial Intelligence from 2014

MIT’s Technology Review “2014 in Computing” lists the year’s major strides made in artificial intelligence and machine learning. From image recognition, to brain-inspired chips to Watson’s medical career.

3. Smartphone use causes our brains to ‘reorganize’

The repetitive movements made by our thumbs as they glide over mobile touchscreens is reshaping the sensory processing from our hands. Heave smartphone users’ brains are more responsive to touches to their fingers than those of people who uses older style feature phones, neuroscientists have found. The level of activity in the cortex was also found to be directly proportional to the intensity of phone use as qualified by the battery logs.

The researchers believe this is evidence that “the contemporary brain is continuously shaped by the use of personal digital technology”.

More at Our brains are being ‘continuously reshaped’ by smartphone use – wired.co.uk

A work of Music ‘n Tech ‘n Christmas

Pixel is a stunning dance performance in a virtual and living visual environment that bills itself as “a work on illusion combining energy and poetry, fiction and technical achievement, hip hop and circus.” The show incorporates a host of digital projection mapping techniques and 11 dancers to create a surreal – augmented – universe of motion. (Via Joren Van Severen)

Merzouki and Adrien M / Claire B’s show ‘Pixel’ is touring France until May 21st, and will visit Cannes, Lyon and Metz. (full schedule)

Papers, Talks & Research

Two picks from the ICLR 2015 submissions and a Google paper on distilling the knowledge in an ensemble of machine learning models into a single model.

  • Distilling the Knowledge in a Neural Network (paper)
  • Deep Fried Convnets (ICLR15, neural network, machine learning, paper)
  • Grammar as a Foreign Language (ICLR15, natural language processing, machine learning, paper)

Have a splendid and fulfiling 2015!

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