People in Britain are more scared of the artificial intelligence embedded in household devices and self-driving cars than in systems used for predictive policing or diagnosing diseases. That’s according to a survey commissioned by the Royal Society, which is billed as the first in-depth look at how the public perceives the risks and benefits associated with machine learning, a key AI technique.
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory have developed an algorithm that can find predictive patterns in unfamiliar data and performs better than two-thirds of human teams.
There are some languages and skill sets that are more valuable than others.
One of the most lucrative industries in the U.S. is computer programming. The average salary for a computer programmer just hit an all-time high as it approaches $100,000.
IBM’s Watson is a cognitive computing system originally designed to vanquish human competitors on Jeopardy in 2011. Watson has been winding its way into more and more healthcare and health-related use cases. But like most novel technologies, a number of people still don’t understand exactly what Watson is or does — or what IBM’s roadmap for the technology is.
Futurist Thomas Frey: I had great difficulty completing this column. This is partly due to the complex nature of the technology and partly because its implications may indeed be so far reaching that I’ll sound over-reaching in describing it.
This portrait was woven using a Jacquard loom.
Before IBM, before punch-card computers, before Charles Babbage’s Analytical Engine, one of the very first machines that could run something like what we now call a “program” was used to make fabric. The machine was a loom and could process so much information that the fabric it produced could display pictures detailed enough that they might be mistaken for engravings.
People tend to talk about optimistically about the Internet. They talk about it in terms that describe how it ought to be rather than how it actually is.
…and eight reasons why we will still need doctors
Futurist Thomas Frey: “2014 will be the year the ’quantified self’ goes mainstream.” Those were the words Silicon Valley prodigy Marc Andreessen used in a recent article to describe changes about to happen to American healthcare.
Programming skills can be a ticket to upward mobility.
If you are looking for a sure route to a job, learn to code, says Codeacademy co-founder Zach Sims.
There will be a job market for wearable computer developers and engineers.
Developers are still learning how to use Google Glass. The Glass Development Kit is expected to be unveiled shortly and will build on the Android toolkits that a small but growing developer community is learning their way around the platform. But there are unique challenges for wearable computer software creation. How do you create apps for a wearable computer that lacks a mouse, a keyboard, and a touchscreen? How do you create programs for a hybrid of glasses and a computer that depends on a voice interface and a single button? It creates challenges.