Machine learning solves a mysterious problem linked to ancient poop. In their quest to unearth the hidden mysteries of human evolution, archaeologists have been held up by a peculiar fossil phenomenon.
Human feces, it turns out, are nearly indistinguishable from those left by a dog. That can confound research since scientists aren’t sure if they’re analyzing excrement that will ultimately answer questions about people or canines. Crucially, researchers announced Friday that they've developed a new method of screening scat. By combining DNA analysis with machine learning, scientists now have a new way to scan fossilized feces —technically called coprolites. The researchers trained their technology on modern human feces, teaching it to look for the specific microbes that humans have — and rule out other coprolites as non-human. This method, called coproID, is detailed in a study published in the journal PeerJ. Alexa Has Started Randomly Laughing at Users, and Amazon Is on It. The Earth is an ocean planet—more than 70 percent of the surface is covered by seawater.
But despite being such an essential part of life, the deepest parts of the world's oceans are still largely unexplored. According to the American Museum of Natural History in New York, merely 10 to 15 percent of the seafloor has been mapped with accuracy, which means we know less about the seafloor than the surface of Mars. But the state of sea exploration is changing fast. The dark, high-pressure conditions of the ocean depths that once made research there impossible are now being explored with cutting-edge technology. That new tech and the discoveries to come from it are the focus of a new exhibition at the American Museum of Natural History called Unseen Oceans.
Humanoid robot takes over as teacher. Nao the robot looks like a human being and, according to the manufacturer, is now the most used teaching robot in the world.
He was developed in France and costs USD 10 000. (Picture: Aldebaran Robotics) Robots could democratize education, say optimistic researchers. Several places in the world are now experimenting with robots as teachers. Cognitive assessment in the palm of your hand. AI robot that learns new words in real-time tells human creators it will keep them in a “people zoo” Androids are being developed that have an uncanny resemblance to people.
A pinnacle example is an android crafted by roboticist David Hanson that resembles the famous and deceased science fiction writer Philip K. Dick. What makes android Dick so remarkable isn’t so much his appearance as it is his ability to hold an intelligent conversation. The creators of android Dick uploaded the deceased author’s work onto the android’s software, as well as conversations with other writers. If the android was asked a question that had been posed to the real Dick, the robot would answer the question as Dick would. Android Dick in conversation. Eliza, Computer Therapist. Let's talk about your feelings.
The original ELIZA first appeared in the 60's. She seems almost human. This example of artificial intelligence works best, however, if you limit your conversation to talking about yourself and your feelings. Full sentences will give better results. Soon, Your Sex Doll Will Have An Intelligent Conversation With You. Stop trying to get Siri to talk dirty and get ready for sex dolls with an artificially naughty mind.
Your computer might know you even better than your friends do. New research has found that computers can "judge" personality traits far more precisely than previously thought.
The study found that it is possible for computers to draw inferences about a person as accurately as their spouse can. Even then, the judgements were based only on Facebook "likes. " Jointly run between Stanford University and the University of Cambridge, the study sought to find out how a computer's answers to questions about an individual would compare to those of their friends and family. A total of 86,220 volunteers provided answers to questions about themselves regarding the five basic personality dimensions of openness, conscientiousness, extraversion, agreeableness and neuroticism. A standard, 100-item long personality questionnaire was used to gather the data.
Friends and family of each volunteer were then asked to provide their judgement of the individual's personality based on their existing knowledge of the person, via a 10-item questionnaire. Share. The Enormous Implications Of Facebook Indexing 1 Trillion Of Our Posts. A whole wing of the Internet just got added to our collective conscience, like websites by Google or knowledge by Wikipedia before it.
Yet the news cruised by with analysis focused simply on what Facebook’s new keyword post search does today. Facial-Recognition Tech Can Read Your Emotions. If someone is described as "smiling, but not with their eyes," that person is likely faking the smile.
But what does that mean, exactly? And how can one tell a real grin from a fake one? New software by California-based company Emotient can do just that. Using a simple digital camera, Emotient's software can analyze a human face and determine whether that person is feeling joy, sadness, surprise, anger, fear, disgust, contempt or any combination of those seven emotions. Can an Algorithm Hire Better Than a Human? Hiring and recruiting might seem like some of the least likely jobs to be automated.