Experts Predict The Next Decade In Mobile

Rudy de Waele has been a busy man. He’s curated 37 of the world’s most notable voices from Mobile & Academia for inclusion in his Mobile Trends 2020 slide deck – a collection of thoughts on where we’ll all be this time next decade:

“I asked some of my personal heroes in mobile to write down their five most significant trends for the coming decade. All of them have been of great inspiration to me during this decade: for their ideas, visions, talent, the capabilities to adapt and the perseverance to succeed whatever the situation.”

Here’s the deck. Hit fullscreen for best viewing experience:

These are my five stand-out ideas from the presentation. What are yours?

Digital syllogomania:

Digital garbage collection becomes a (very) lucrative business
Slide 10 / Fabien Girardin / Researcher at Lift Lab

Sensors:

Mobile devices will have sensors added which will enable the capture of local data from temperature to noise and from location to who else is on the room
Slide 13 / Tony Fish / Entrepreneur

Cellular voice dies:

It truly becomes another form of data on the next generation data networks
Slide 30 / Kevin C. Tofel / Managing Editor at jkOnTheRun

Mobiles manifesting AI:

Fulfilling, at last, the vision of “personal digital assistants”
Slide 33 / David Wood / Principal at Delta Wisdom

New sonic experiences:

Augmented reality, 3D sound, will create new mobile audio formats and end user experiences
Slide 41 / Atau Tanaka / Director of Culture Lab

Web Discoveries for July 24th

These are my del.icio.us links for July 24th

Web Discoveries for July 17th

These are my del.icio.us links for July 17th

Crowdsourced Protein Shakes

I read about Foldit in Wired US yesterday, a game that takes the foundations laid by [email protected], which uses thousands of computers’ idle time to decode frequencies from Space, and crowdsources solutions to the protein folding problems that are currently baffling the smartest machines in the world.

The difference with Foldit is that it’s not PC idle time that is tapped into here, but players’ idle time. There is no algorithm that can yet match humans’ depth perception; natural ability to recognise patterns; and see causal links in their actions. These traits make us humans the ideal CPU to solve these ‘protein-puzzles’:

Foldit provides a series of tutorials in which the player manipulates simple protein-like structures, and a periodically updated set of puzzles based on real proteins. The application displays a graphical representation of the protein’s structure which the user is able to manipulate with the aid of a set of tools.

As the structure is modified, a “score” is calculated based on how well-folded the protein is, based on a set of rules. A list of high scores for each puzzle is maintained. Foldit users may create and join groups, and share puzzle solutions with each other; a separate list of group high scores is maintained.

Indeed, the creators report that groups working together have led to breakthroughs not matched by either individuals or heavy-duty computing power. It is the power of the engaged-masses that the Baker Lab, research team behind the game are hoping will bring forth potential cures for HIV/AIDS, Cancer and Alzheimer’s.

More info on the game and it’s background on their Science Portal.

Does this remind anyone of War Games?