Thought identification. Thought identification refers to the empirically verified use of technology to, in some sense, read people's minds. Recent research using neuroimaging has provided some early demonstrations of the technology's potential to recognize high-order patterns in the brain. In some cases, this provides meaningful (and controversial) information to investigators.
Professor of neuropsychology, Barbara Sahakian, qualifies "A lot of neuroscientists in the field are very cautious and say we can't talk about reading individuals' minds, and right now that is very true, but we're moving ahead so rapidly, it's not going to be that long before we will be able to tell whether someone's making up a story, or whether someone intended to do a crime with a certain degree of certainty. "[1] Examples[edit] Identifying thoughts[edit] When humans think of an object, like a screwdriver, many different areas of the brain activate Predicting intentions[edit] Brain as input device[edit] Ethical issues[edit] See also[edit] Brain–computer interface. A brain–computer interface (BCI), sometimes called a mind-machine interface (MMI), direct neural interface (DNI), synthetic telepathy interface (STI) or brain–machine interface (BMI), is a direct communication pathway between the brain and an external device. BCIs are often directed at assisting, augmenting, or repairing human cognitive or sensory-motor functions.
Research on BCIs began in the 1970s at the University of California Los Angeles (UCLA) under a grant from the National Science Foundation, followed by a contract from DARPA.[1][2] The papers published after this research also mark the first appearance of the expression brain–computer interface in scientific literature. The field of BCI research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged hearing, sight and movement. History[edit] Berger's first recording device was very rudimentary. BCI versus neuroprosthetics[edit] Animal BCI research[edit] Early work[edit] 2013: M. The IBM 5 in 5: Our Forecast of Five Innovations That Will Alter the Tech Landscape Within Five Years. Every year IBM predicts the future of technology via the IBM 5 in 5 initiative–our forecast of five innovations that will help transform aspects of modern life, making the planet smarter, within the next five years.
We assess not just the availability of a new technology but also the likelihood of its large-scale adoption. This year’s predictions: · People power will come to life · You will never need a password again · Mind reading is no longer science fiction · The digital divide will cease to exist · Junk mail will become priority mail Join the Twitter converation at #ibm5in5 Click here to vote on the coolest prediction. Making this kind of prediction is difficult. Why do they do it? Meyerson, who plays a role in the annual exercise, says the most useful thing about the process is that it requires IBMers to think holistically about innovation.
We’ve been issuing the Next 5 in 5 predictions for the past six years. Predictions from other years have panned out as well. Welcome to Synberc | Synberc. Genetic programs constructed from layered logic gates... [Nature. 2012. 5 technologies that will plug the Internet directly into your brain. Even among those of us who aren't fluent in geek speak, most are at least casually familiar with the concepts of software and hardware: the digital ghost and the shell.
But there is a third computer component without which the other two would be meaningless. We're talking about meatware,* or the tech that connects computers to the meaty organic components, aka you. Today, we access the digital world various types of user interfaces (or a UI): keyboards, touchscreens, Kinect; anything that facilitates information transfer between flesh and silicon. And this tech works well enough. But fear not, future human batteries in training! (*A more common term is "wetware," but "meatware" just sounds cooler. One day, this could be you! 5. Professor Stephen Hawking is nearly as famous for his synthesized vox as he is for his many contributions to science. Unfortunately, the professor's health has been declining recently and he is reportedly no longer able to operate his iconic mechanical voice. 4. 5. Catch and visualise human thoughts.