Why Artificial Intelligence Roles Need Cross-Over Skillsets


Recent research from Britain confirms what many people in enterprises already know, artificial intelligence (AI) is going to profoundly change the workplace. However, unlike previous research, the findings contained in the AI in the UK: Ready, willing and able? This workplace will be one where AI enhances and creates many new jobs, but also one where retraining is not just an occasional event, but something that is ongoing and continuous as AI changes the way we work. The report has a very specific focus through. It outlines what the authors believe are the opportunities for the United Kingdom in an AI-driven world and what the UK government needs to do to turn the workplace change to the advantage of its citizens.

Learning to include AI in UX : Part one of my journey


Let's kill a few false ideas first. No, artificial intelligence won't take the control of the world. You can forget your dreams about Terminator, The Matrix, Johnny 5 and Wall-e (yes I know for the last one it's kind of sad). But you just have to watch some Alexa, Google home or any other AI fails on YouTube to understand that we are far away from that scenario. Now that we agree on that, let's talk more seriously.

When Artificial Intelligence Clashes With Fashion, How Will Our Future Dresses Look?


To Stitch Fix's "hybrid design" tool, fashion design is a puzzle work of 30 to 80 pieces. On the website of online personal shopping service Stitch Fix, the company features a customer review that reads, "I love that my stylist listens to my feedback. The personal note included in my Fix shows how much pride she takes in serving each client." Stitch Fix's personal stylist is the best of its kind. Indeed, few stylists in the industry has achieved the same level of success at outfit pairing and shopping recommendation.

4 Brands That Make The Most of Artificial Intelligence


There are three big questions about artificial intelligence and its impact on society: What can it do? And how fast will it spread? Experts are working to definitively answer each of those questions, but there is no doubt that AI will be transformative. McKinsey estimates that up to one third of the American workforce will have to switch to new occupations by 2030. Those figures are unsettling, but AI does not come without a plethora of positives.

In the Age of Artificial Intelligence, Creativity Will Get an Upgrade


In 2016 an artificial intelligence bot, "Hoffbot," used neural networks to write all of David Hasselhoff's lines for a bizarre short film called Sunspring. Just three months ago Botnik Studios used a predictive algorithm to create a four-page script performed by Zach Braff of Scrubs. By 2019, most leading AI providers will offer tools and libraries for building AI-powered natural-language generation, image manipulation, and other generative use cases. Artificial Intelligence exists as an aid to creativity across every discipline. This year more solutions will come to market--in all verticals--that use leading-edge AI approaches known as generative adversarial networks (GANs) to algorithmically create digital and analog objects of all sorts with astonishing accuracy.

The Real Story Behind Microsoft's Quietly Brilliant AI Design


"In the way it was first tested, the tone of the words and animations in Designer made it feel like the computer knew better than you," explains Jon Friedman, who as partner director of design at Microsoft leads the vision for the company's Office suite. There was something stranger still: If you kept following Designer's recommendations, the end result was a presentation that didn't feel like you'd made it anymore. The computer, it seems, simply wasn't taking into account what the rest of your presentation looked like. Instead, it was taking over, step-by-step. Eventually, Microsoft fixed that problem, unveiling a subtly more helpful, more neutral feature that made more context-sensitive recommendations.

Chips for Artificial Intelligence

Communications of the ACM

A look under the hood of any major search, commerce, or social-networking site today will reveal a profusion of "deep-learning" algorithms. Over the past decade, these powerful artificial intelligence (AI) tools have been increasingly and successfully applied to image analysis, speech recognition, translation, and many other tasks. Indeed, the computational and power requirements of these algorithms now constitute a major and still-growing fraction of datacenter demand. Designers often offload much of the highly parallel calculations to commercial hardware, especially graphics-processing units (GPUs) originally developed for rapid image rendering. These chips are especially well-suited to the computationally intensive "training" phase, which tunes system parameters using many validated examples.

Commentary: AI's Next Victim: Your Closet


In 1995's Clueless, you may recall Cher Horowitz using cutting-edge software to select her plaid ensemble. Cher's machine could identify chic head-to-toe looks, adding a small dose of sci-fi to the romcom classic. Twenty-two years later, the 90s fiction movie is closer than ever to reality: Artificial intelligence in fashion is here, but it's still unclear what its role is meant to be. As a form of personal expression, fashion may seem like a strange target for AI disruption. Regardless, machine learning is taking on a variety of fashion-related roles.

Nvidia extends 'cinematic quality' image rendering capability beyond gaming


Nvidia has announced the availability of its Nvidia Quadro GV100 GPU with Nvidia RTX technology to artists and designers from all sectors, in what the company labelled the biggest advancement in computer graphics in nearly two decades. "We're starting this year off with a big bang with what we believe is the biggest advancement of computer graphics in the last 15 years since Nvidia invented the programmable shader," Nvidia VP of Professional Visualization Bob Pette told press during a briefing at Nvidia GTC in San Jose. According to Pette, it was clear to Nvidia that it had to continue to push the envelope as its customers continued to push the envelope. That meant extending the availability beyond game developers. "They wanted photorealism, the democratisation of VR allowed them to do more in VR than they were ever capable of doing," he said of artists and designers.

Design principles for AI-driven UX – UX Collective


How can we design meaningful experiences in an era with AI-driven products & services? These questions keep clouding my mind, and I like to give you my take on how I feel about AI & design; what design principles I follow while designing for AI-driven products and services. AI and Machine Learning-based Predictive User Experiences are incredible playgrounds for UX designers. It is the challenging combination of technology and people that make it so hard to design seamless experiences. With the Anticipatory Design Movement, I came across lots of creators, designers and design teams who shared their knowledge and experience about designing for AI.