Artificial Intelligence Is On The Rise Everywhere
Researchers used an incredible new form of functional magnetic resonance imaging pattern analysis which is now being used by computers to predict faces by using data from the memory-centered area of the brain.
Hongmi Lee and Brice A. Kuhl from the Kuhl Lab at the University of Oregon studied the area of the brain responsible for processing faces, and stated ‘Recent findings suggest that the contents of memory encoding and retrieval can be decoded from the angular gyrus (ANG), a subregion of posterior lateral parietal cortex. Visually perceived faces were reliably reconstructed from activity patterns.”
The researchers go on to explain that by ‘Using an approach inspired by computer vision methods for face recognition, we applied principal component analysis to a large set of face images to generate eigenfaces. Activity patterns evoked by individual faces were then used to generate predicted eigenface values, which could be transformed into reconstructions of individual faces.’
Using more than 1,000 colored images of different human faces, researchers have reconstructed a face after peering into the mind of another by extracting latent face components from neural activity and using machine learning to create digital portraits.
Mark Zuckerberg speculated on what he think the future of social media may hold during a Q&A held on his latest addition, Facebook Live.
Zuckerberg believes in as soon as the next 50 years, we could see technology far surpass virtual reality to the point where users could share their thoughts and experiences telepathically.
Although he denies working on the technology himself, he does state that there is ‘crazy brain research’ underway that could bring this futuristic idea into the present.
Zuckerberg does share knowledge of an experiment currently being conducted, in which ‘They were actually able to take that representation of the memory, zap another mouse and put that memory into that other mouse. That mouse, without ever being through the maze, was able to go do it.’
Artificial intelligence is emerging everywhere and now Android co-founder Andy Rubin predicts that future will become so powerful that it underpins every connected device.
Rubin said a combination of quantum computing and AI advancements could yield a conscious intelligence that would control every internet-enabled gadget.
While this technology is currently theoretical, Rubin’s investment fund, Playground Global, is investing $300 million in companies trying to make this future of AI a reality, including a quantum computing firm.
Rubin believes that both artificial intelligence and quantum computing are good at pattern matching, and could greatly complement one another, pointing out that ‘Those two things combined in hundreds of years might get us to the point of this conundrum, who is the master and who is the servant and all that.’
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have created an artificial intelligence that can trick the human ear.
The researchers created a computer algorithm that can predict and create sound effects using a system called a recurrent neural network, which allows a computer to use its units in dynamic, rather than fixed, arrangements similar to the way neurons can be reconfigured in many different networks in the brain.
By being shown videos of different surfaces being struck with a drumstick, the sounds are so realistically reproduced that human test subjects cannot accurately distinguish between the synthesized sound effects and real recorded ones.
Using a series of 977 videos with around 48 different sounds in each one, the computer then “learned” what different surfaces look and sound like and could then make predictions about future surfaces without ever having “heard” them.
This represents one of the first computer learning systems able to make predictions about information using solely visual information, by almost guessing what something would sound like based on how it looks.
The team behind this study believes this technology will be useful not only for the sound design industry, but for artificial intelligence research pertaining to computers understanding the physical world around them.