Extremely energy-efficient artificial intelligence is now closer to reality

Extremely energy-efficient artificial intelligence is now closer to reality after a study by UCL researchers found a way to improve the accuracy of a brain-inspired computing system. The system, which uses memristors to create artificial neural networks, is at least 1,000 times more energy efficient than conventional transistor-based AI hardware, but has until now been Read more about Extremely energy-efficient artificial intelligence is now closer to reality[…]

A new approach for more trust in Artificial Intelligence

One of the biggest impediments to adoption of new technologies is trust in AI. Now, a new tool developed by USC Viterbi Engineering researchers generates automatic indicators if data and predictions generated by AI algorithms are trustworthy.  Their research paper, “There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks” by Mingxi Cheng, Read more about A new approach for more trust in Artificial Intelligence[…]

Preventing identity theft with neural networks

From unlocking smartphones to speeding up airport security checks: the use of automated face recognition for personal identification continues to grow. But this authentication method is vulnerable to morphing attacks: criminals can misuse it by melding two different facial images into one. A single passport featuring a photograph manipulated this way can then be used Read more about Preventing identity theft with neural networks[…]