Using 'Declarative Technology' to Scale 3d Models and Accelerate Rich Simulation

Now this is what I call serious capability-enhancing STEM Compression:

Prosumer Takeaways: Soon we will all be creating simulations on par with DreamWorks and Pixar (high end personal computers can already match the renderings their server farms were busting out years ago). And as the simulation phase space expands, so too will our economy and intelligence.

Donald Trump, Entertainer-in-Chief

The days of the presidential presidency are behind us. JFK was the first TV President . He and his successors exuded a distinctly presidential vibe as they communicated confidently to the masses, primarily through color video, usually behind a podium or in high-power settings, on a monthly or sometimes weekly basis. Donald Trump is the first Web & Reality TV President. He spent a decade as host and producer of the hit show The Apprentice and exudes a distinctly colloquial vibe across cable and the web. Trump prefers titanic business settings like board rooms and communicates to the masses at a daily or even hourly rate, even after the election. Twitter is his pulpit. Trump is a seasoned, self-aware, master content producer AND actor. In sports, the equivalent is a player/coach, a Peyton Manning or LeBron. He's calculatedly sloppy and unpredictable, which appears to boost his authenticity and watchability. Most importantly, he's relentless. Trump's m

Building Human-Level A.I. Will Require Billions of People

The Great AI hunger appears poised to quickly replace and then exceed the income flows it has been eliminating. If we follow the money, we can confidently expect millions, then billions of machine-learning support roles to emerge in the very near-term, majorly limiting if not reversing widespread technological unemployment. Human-directed machine learning has emerged as the dominant process for the creation of Weak AI such as language translation, computer vision, search, drug discovery and logistics management. I ncreasingly, it appears Strong AI , aka AGI or "human-level" AI, will be achieved by bootstrapping machine learning at scale, which will require billions of humans in-the-loop . How does human-in the-loop machine learning work? The process of training a neural net to do something useful, say the ability to confidently determine whether a photo has been taken indoors or outside, requires feeding it input content, in this case thousands of diff

IBM Watson AI XPrize Pits AI vs. Human/AI Teams

XPRize and IBM have announced the IBM Watson AI XPRIZE , a multi-stage Cognitive Computing Competition with a $5 million purse that challenges "teams from around the world to develop and demonstrate how humans can collaborate with powerful cognitive technologies to tackle some of the world’s grand challenges." Interestingly, the competition will be open to human/AI hybrid and exclusively AI entrants alike. The contest will culminate in 2020 after a series of IBM's annual "World of Watson" prelim events and draw attention to the human-empowering aspects of Artificial Intelligence. May the smartest neural array carry the day. Pre-registration is open now at xprize.org/AI , and detailed guidelines will be announced on May 15, 2016. TED Blog XPrize Announcement

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