Source: HowMuch.Net, Sep 2017
Source: The Verge, Oct 2016
CEO Sundar Pichai led the charge here, noting that Google’s Knowledge Graph (the easily accessible information that pop up under the search bar for certain queries) now encompasses 70 billion facts.
He then moved onto the company’s image recognition tech, noting that it had improved its accuracy from 89.6 percent in 2014 to 93.9 percent in 2016 — a small numerical difference that makes a big difference in results. Pichai topped things off with improvements to Google’s machine translation; recently super-charged by deep learningto go from a score in translation accuracy of 3.694 (out of 6) to 4.263. Human-level quality, said Pichai, is only a step away at 4.636.
Source: Motherboard, Jul 2014
The Lovelace Test is designed to be more rigorous, testing for true machine cognition. It was designed in the early 2000s by Bringsjord and a team of computer scientists that included David Ferrucci, who later went on to develop Jeopardy-winning Watsoncomputer for IBM. They named it after Ada Lovelace, often described as the world’s first computer programmer.
The Lovelace Test removes the potential for manipulation on the part of the program or its designers and tests for genuine autonomous intelligence—human-like creativity and origination—instead of simply manipulating syntax.
An artificial agent, designed by a human, passes the test only if it originates a “program” that it was not engineered to produce. The outputting of the new program—it could be an idea, a novel, a piece of music, anything—can’t be a hardware fluke, and it must be the result of processes the artificial agent can reproduce. Now here’s the kicker: The agent’s designers must not be able to explain how their original code led to this new program.
In short, to pass the Lovelace Test a computer has to create something original, all by itself.
Even the most advanced self-learning neural network can only perform tasks that are first mathematized and turned into code. So far, essentially human functions like creativity, empathy and shared understanding—what is known as social cognition—have proved resistant to mathematical formalization.
“The Lovelace 2.0 Test of Artificial Creativity and Intelligence”, Oct 2014
Source: MIT, Feb 2018
a good problem statement has five components that include:
“In our experience, leaders who can formulate clear problem statements get more done with less effort and move more rapidly than their less-focused counterparts,” the experts wrote in MIT Sloan Management Review. “Clear problem statements can unlock the energy and innovation that lies within those who do the core work of your organization.”
Source: MIT, Feb 2018
Today, MIT President L. Rafael Reif announced that Eric Schmidt, who until January was the executive chairman of Google’s parent company, Alphabet, will join MIT as a visiting innovation fellow for one year, starting in Spring.
Schmidt will figure prominently in MIT’s plans to bring human and machine intelligence to the next level, serving as an advisor to the newly launched MIT Intelligence Quest, an Institute-wide initiative to pursue hard problems on the horizon of intelligence research.
“I am thrilled that Dr. Schmidt will be joining us,” says MIT President L. Rafael Reif. “As MIT IQ seeks to shape transformative new technologies to serve society, Eric’s brilliant strategic and tactical insight, organizational creativity, and exceptional technical judgment will be a tremendous asset. And for our students, his experience in driving some of the most important innovations of our time will serve as an example and an inspiration.”
In his role as a visiting innovation fellow, Schmidt will work directly with MIT scholars to explore the complex processes involved in taking innovation beyond invention to address urgent global problems. In addition, Schmidt will engage with the MIT community through events, lectures, and individual sessions with student entrepreneurs.