Humans are almost hardwired to recognize faces. It’s important for us to tell people apart and we barely think about it. But the recognition process is far from being understood. Researchers at the Weizmann Institute of Science in Israel have compared how deep neural networks recognize faces and compared this with activation pattern data from...
Tag: AI
5 things we learned about AI this year – MIT Technology Review Insights
The five main results of studies MIT Technology Review Insights has conducted on AI: Sixty-three percent of businesses in a worldwide survey to the MIT Technology Review Global Panel have a centralized AI plan or are using AI on a case by case basis. Companies are making big AI-driven gains in efficiency and customer satisfaction....
Creating Trust in Your AI System
Seemingly not a day goes by without a major brand claiming that they have included AI into their existing services to optimize their customer experience. Of course, one of the reasons for businesses is simply to cut costs by automating people away, but that’s a story for another article. Today, we focus on the issues...
AI deepfakes are now as simple as typing whatever you want your subject to say – The Verge
Deepfakes are becoming very easy to create. As shown in the work by scientists from Stanford University, Max Planck Institute for Informatics, Princeton University and Adobe Research, videos can be fine-tuned to audiences of different backgrounds. All this is done purely by editing scripts, automating previously tedious manual work. The authors themselves note: However, the...
Perception As Controlled Hallucination | Edge.org
An EDGE conversation with Andy Clark on perception and the role of predictive processing. The concept of predictive processing describes the brain as pediction machine gathering statistical information to adapt its model of the world. Sources: https://www.edge.org/conversation/andy_clark-perception-as-controlled-hallucination https://www.mindcoolness.com/blog/bayesian-brain-predictive-processing/
Artificial Artificial Intelligence
Behind a successful AI there is a human doing critical work. It’s an open secret that behind the “magic” of AI tools there are large teams of people, doing things like labeling the training data to make it work. The result of their work is truly impressive: we are tricked into believing that these AIs...
The Challenge of Crafting Intelligible Intelligence | June 2019 | Communications of the ACM
Modern AI approaches often work like black boxes: nobody really knows why things work the way they work. Offering explanations why an AI system came to a conclusion is certainly needed. The article by Daniel S. Weld and Gagan Bansal [1] studied two approaches that are promising: using an inherently interpretable model, or adopting an...
It’s not Artificial Intelligence, it’s a new level of automation
Artificial Intelligence (AI) is probably the topic right now in computer science. There is a ongoing public discourse whether we’ll see machine overlords in the near future or not. People like Elon Musk spoke of regulating AI to make sure that the human race survives. If you look at the current state of AI and...
Smart Environments = Edge Computing + Bots + AI
The concept of smart environments can regarded as byproduct of pervasive computing with a strong focus on the interaction of humans and technology. Generally speaking, a smart environment is a physical world that is richly and invisibly interwoven with sensors, actuators, displays, and computational elements, embedded seamlessly in the everyday objects of our lives, and...
