Considering machines that think is a nice step forward in the AI debate as it departs from our own human-based concerns, and accords machines otherness in a productive way. It causes us to consider the other entity’s frame of reference. However, even more importantly this questioning suggests a large future possibility space for intelligence.
There have been and will continue to be multiple big technology revolutions, but the most impactful on human society may be the one that finally builds systems with judgment and decision-making capability more sophisticated and nuanced than trained human judgment. Machine learning, sometimes called big data or artificial intelligence, is [...]
Researchers have mimicked the way the human brain processes information with the development of an electronic long-term memory cell, which mirrors the brain’s ability to simultaneously process and store multiple strands of information. The development brings them closer to imitating key electronic aspects of the human brain — a vital step toward creating a bionic brain and unlocking treatments for Alzheimer’s and Parkinson’s diseases.
#maketechhuman Jeff Hawkins recently re-read his 2004 book On Intelligence, where the founder of Palm computing – the company that gave us the first handheld computer and later, first-generation smartphones – explains how the human brain learns. An electrical engineer by training, Hawkins had taken a deep interest in how the brain works and founded…
(Phys.org)—A team of researchers working at the University of California (and one from Stony Brook University) has for the first time created a neural-network chip that was built using just memristors. In their paper published in the journal Nature, the team describes how they built their chip and ...
Synthetic bodies, mediated selves. What themes become relevant in a technoprogressive world – as objects proliferate, what do the inundated people talk about? You are alone, at a computer. You talk to people but they are not around.
Late last year, I took a road trip with my partner from our home in New Orleans, Louisiana to Orlando, Florida and as we drove by town after town, we got to talking about the potential effects self-driving vehicle technology would have not only on truckers themselves, but on all the local economies dependent on trucker salaries. Once one starts wondering about this kind of one-two punch to America’s gut, one sees the prospects aren’t pretty.
Could sudden shifts in technology soon be coming over here and taking jobs?
"Last September, Dr Carl Benedikt Frey and Michael Osborne, two researchers at the Martin School in Oxford, published the results of a major study of the susceptibility of jobs to this new kind of automation. Their report, The Future of Employment: How Susceptible Are Jobs to Computerisation?, makes for a pretty sobering read. Frey and Osborne used machine-learning techniques to estimate the probability of computerisation for 702 detailed occupations, based on US government classifications of those occupations. Their conclusion? About 47% of total US employment is at risk from technologies now operational in laboratories and in the field."
(Phys.org)—Despite the many great achievements of computers, no man-made computer can learn from its environment, adapt to its surroundings, spontaneously self-organize, and solve complex problems that require these abilities as well as a biological brain. These abilities arise from the fact that ...
Facing ever-increasing global competition and a fight to control costs, Chinese assembly lines are implementing more and more robotic systems. The newest facilities being constructed are 'smart factories' with virtually no human labor.
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