Adobe is heading into AI/Machine Learning full steam ahead. A private room NAB demo showed picture search and dialog search powered by IBM Watson, and now this collaboration with Stanford organizes takes, matches them to lines of dialog, recognizes voices, faces and emotions, camera framing, and more and then builds dialog-focused stories in any style desired.
When Apple released FCP X six years ago, there was an incredible backlash, which Apple deserved for the sudden, harsh removal of FCP 7 from the market. But I believe there was another reason behind the anger beyond the sudden cut off: there was no more hope that Apple would supplant Avid in the editing world.
What is creativity? Nick Stockton examined the question in an article at Wired about the use of an Artificial Intelligence (really Machine Learning) based collaborator in creativity. Â Beyond discussing the nature of creativity from a couple of perspectives it looks at the role of machines as collaborators.
My first exposure to a multi-camera live broadcast event was in an earlier career when the local TV station set up for a broadcast in the theater I worked for. There were two trucks in the alley way. Cables running everywhere, and two days to set up. Running it all was a team of 12 people.
Yesterday, we did a three camera live broadcast and I carried the broadcast gear in my shoulder bag and was set up in an hour.
That’s a pretty serious change!
Design is much more than the way things look. It encompasses every aspect of every interaction with the device, object or software package you’re using. Josh Clark published a talk he gave on behalf of his design studio big medium, that is focused on design in the era of the algorithm, or Artificial Intelligence.
It’s a very long and deep article, well worth the read if you design anything at all. I found it very relevant as we are currently designing our most complex and powerful app. Read on for a list of the topics.
A new Market Watch article spells out the results of a study that pulled data from an employment report from University of Oxford, processed into a visual chart by Visual Capitalist.
Not surprising, but retail service jobs are likely to do poorly, while high-touch occupations like nursing and teaching are likely to remain. Overall – and quite unfortunately for society – most of the job losses will be among relatively unskilled workers.
While there have been huge disruptions to employment in the past, there have been new jobs created, which is hard to foresee from this chart.
Consider the chart a career planning guide! I’m somewhat relieved that “Software Developers and Programmers” are relatively safe, although surprised as code is increasingly written by code! There is a surprising amount of creativity that goes into designing the software, that isn’t directly related to the code, so I guess that’s the safe part?
There isn’t a direct category that I could slot production and post production into, but since creativity in general will be valued, I think that creativity will continue to be valued. On the other hand, relatively routine tasks like organization and preparing for editing is likely to be vulnerable.
For an indication of when the jobs will disappear, consider this article about a paper: “When Will AI Exceed Human Performance? Evidence from AI Experts.†In this study, experts where asked their expectation as to when jobs would be eliminated. Bottom line, they could all be gone in 125 years.
We were watching the WWDC keynote address last night and the term “Machine Learning” came up so ofter, that if you were taking a shot each time, it would have been very detrimental to your health. There were at least 12-15 references during the 2.25 hour keynote.
Apple have seriously embraced Machine Learning/Deep Learning across many apps and have introduced a Machine Learning framework for running developer designed learning algorithms, even providing conversion tools for migrating from other AI platforms.
Or course, this comes as no surprise, as I wrote about the many ways Apple were integrating machine learning back in October 2016.
UPDATE: Wired also noticed just how key Machine Learning has become to Apple.
Today we released a new version of the Lumberjack iOS Logger – version 3.
iOS Logger for iPhone and iPad has been completely rewritten for increased speed and stability. New features include a warning for logs not uploaded, the ability to add a note to a keyword range upon completion, the ability to review logged (but not uploaded) keywords and the ability to add or edit a note to logged keyword ranges.
Thanks to Robert Desauger.