A scientist created emotion recognition AI for animals

A researcher at Wageningen University & Research recently published a pre-print article detailing a system by which facial recognition AI could be used to identify and measure the emotional state of farm animals. If you’re imagining a machine that tells you if your pigs are joyous or your cows are grumpy… you’re spot on. Up front: There’s little evidence to believe that so-called ’emotion recognition’ systems actually work. In the sense that humans and other creatures can often accurately recognize (as in: guess) other people’s emotions, an AI can be trained on a human-labeled data set to recognize emotion with…

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Can AI read your emotions? Try it for yourself

Emotion recognition AI is bunk. Don’t get me wrong, AI that recognizes human sentiment and emotion can be very useful. For example, it can help identify when drivers are falling asleep behind the wheel. But what it cannot do, is discern how a human being is actually feeling by the expression on their face. You don’t have to take my word for it, you can try it yourself here. Dovetail Labs, a scientific research and consultancy company, recently created a website that explains how modern “emotion recognition” systems built on deep learning work. Typically when companies do stuff like this,… This story continues at The Next Web

Here’s why we should never trust AI to identify our emotions

Imagine you are in a job interview. As you answer the recruiter’s questions, an artificial intelligence (AI) system scans your face, scoring you for nervousness, empathy and dependability. It may sound like science fiction, but these systems are increasingly used, often without people’s knowledge or consent. Emotion recognition technology (ERT) is in fact a burgeoning multi-billion-dollar industry that aims to use AI to detect emotions from facial expressions. Yet the science behind emotion recognition systems is controversial: there are biases built into the systems. [Read: Can AI read your emotions? Try it for yourself] Many companies use ERT to test customer…This story continues at The Next Web

New AI system counts endangered elephants from space

Scientists have unveiled a new tool for monitoring endangered wildlife: an AI system that automatically counts elephants from space. The tech combines satellite cameras with a convolutional neural network (CNN) to capture African elephants moving through forests and grasslands. In tests, the surveying technique detected elephants as accurately as human observers, while eliminating the risk of disturbing the species. The research joins a growing range of AI projects that are seeking to protect endangered animals. “Accurate monitoring is essential if we’re to save the species,” said Dr Olga Isupova, a computer scientist at the University of Bath who created the detection algorithm. “We… This story continues at The Next Web

Is there a more environmentally friendly way to train AI?

Machine learning is changing the world, and it’s changing it fast. In just the last few years, it’s brought us virtual assistants that understand language, autonomous vehicles, new drug discoveries, AI-based triage for medical scans, handwriting recognition and more.  One thing that machine learning shouldn’t be changing is the climate.  The issue relates to how machine learning is developed. In order for machine learning (and deep learning) to be able to accurately make decisions and predictions, it needs to be ‘trained’.  Imagine an online marketplace for selling shoes, that’s been having a problem with people trying to sell other things on the site – bikes… This story continues at The Next Web

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