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...
Category: Science
Hidden Heroines of Chaos: Ellen Fetter and Margaret Hamilton | Quanta Magazine
The untold story of two women who played an essential part in developing chaos theory [1]. While a lot has changed since 1960ies still many programmers leave science – not because their role isn’t appreciated, but because of better compensation in industry. Accordig to Alyssa Goodman from Harvard: In the 1960s, there was no such...
Towards a Proxemics Driven Software Architecture
We’ve build software for decades now. Starting with running software on remote mainframes and providing access via (dumb) terminals we moved toward personal computing where most of the computing activities happened locally on the desktop of the computer (aka the personal computer revolution). Spreadsheets are a wonderful example for this: from the mid-1960s onwards software...
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...
