Ashok Goel needed help. In his regular courses at Georgia Tech, the computer science professor had at most a few dozen students. But his online class had 400 students — students based all over the world; students who viewed his class videos at different times; students with questions.
Researchers say artificial intelligence will soon be able to detect a person’s political allegiance – just by looking at photos of their face. We’ve put together a quiz to see if you can beat the algorithms and work out, from someone’s face, their political allegiance. We’ve chosen 15 pictures of city councillors from Bristol, Connecticut and San Diego – eight Democrats, seven Republicans. Can you figure out which is which?
Source: AI can tell Republicans from Democrats – but can you? Take our quiz | Technology | The Guardian
In 2012, Google made a breakthrough: It trained its AI to recognize cats in YouTube videos. Google’s neural network, software which uses statistics to approximate how the brain learns, taught itself to detect the shapes of cats and humans with more than 70% accuracy. It was a 70% improvement over any other machine learning at the time.
Make no mistake, we are living in the future. We can store millions of files into a piece of hardware the size of our pinky nail. We can converse face-to-face while thousands of miles away from each other. We have cars that can drive themselves. We have personal computers and entertainment systems built into tiny phones that fit into our pockets. We have amazing robots that can run, swim, fly, and speak.
Source: A.I. Writes a Screenplay, Screenwriters Breathe a Sigh of Relief | HuffPost
Handle is a research robot that stands 6.5 ft tall, travels at 9 mph and jumps 4 feet vertically. It uses electric power to operate both electric and hydraulic actuators, with a range of about 15 miles on one battery charge.
The machines are getting smarter. They can now recognize us, carry on conversations, and perceive complex details about the world around them. This is just the beginning. Machines aren’t just infiltrating the human world, they’re altering our perception of what people can do.
Automating machine learning will make the technology more accessible to non–AI experts.
Source: If AI is going to take over the world, it will need to learn to train itself
“How do we make sure that the machines we ‘train’ don’t perpetuate and amplify the same human biases that plague society?”
Source: Harvard, MIT Get $27M to Research Artificial Intelligence, Humanities | Observer
