As deep learning is gaining in popularity, creative applications are gaining traction as well. Looking at music generation through deep learning, new algorithms and songs are popping up on a weekly basis. In this post we will go over six major players in the field, and point out some difficult challenges these systems still face. […]| The Asimov Institute
Authors: A. Singh & J.P.R. van der LaarsePublication Date: December 4, 2021 For our final case study, we focused on predicting CO2 emissions from flights taking off and landing at Schiphol Airport, using AI. Why this is an interesting case Schiphol has promised to be CO2 neutral by 2030. This promise, however, only considers the airport itself, […] The post Case Study: Schiphol Airport CO2 Emission of Flights appeared first on The Asimov Institute.| The Asimov Institute
In collaboration with podcast Future Based we conducted 4 expert interviews on the topic of Inverse Surveillance Episode 1 – Aidan Lyon “In this first podcast episode we will go into conversation with Aidan Lyon. Aidan completed his PhD in 2010 at the Australian National University on the philosophical foundations of probability. His research focuses on psychedelics, […] The post Inverse Surveillance AI Expert Interviews appeared first on The Asimov Institute.| The Asimov Institute
This hackathon is part of the Inverse Surveillance AI research project. Hackathon Challenge: With your help we can demonstrate the potential of Inverse Surveillance AI —> using AI to surveil governments and bigger organizations to identify and predict wrongful behavior or systematic flaws and by doing so empower citizens. Everyone is welcome to join. (Individuals […] The post Inverse Surveillance AI Hackathon 2021 appeared first on The Asimov Institute.| The Asimov Institute
Authors: J.P.R. van der Laarse & N.L. NeumanPublication Date: September 24, 2021 Here we provide some metaphors as examples to better illustrate Inverse Surveillance. These metaphors are a representation of how we see inverse surveillance in comparison to other forms of surveillance and sousveillance at this moment in time. Throughout this project we aim to continue to […] The post Two Examples for Inverse Surveillance appeared first on The Asimov Institute.| The Asimov Institute
Authors: J.P.R. van der Laarse & N.L. Neuman Publication Date: May 7, 2021 With security cameras in public places, police making their regular rounds in neighborhoods, proctors watching students during exams, and government organizations monitoring suspicious behavior online, surveillance is a part of our daily lives. Not only does such surveillance help spot and punish […] The post Panopticon for the Masses appeared first on The Asimov Institute.| The Asimov Institute
Authors: J.P.R. van der Laarse & N.L. NeumanPublication Date: April 23, 2021 Surveillance AI is not exactly considered to be a positive development in this day and age, with controversial stories like China’s mass surveillance headlining many news platforms. (Andersen, 2020; BBC, 2021). These news items evoke a negative perception on AI and reminds us […] The post On Utopian Thinking appeared first on The Asimov Institute.| The Asimov Institute
Authors: J.P.R. van der Laarse & N.L. NeumanPublication Date: April 23, 2021 In our new project, we focus on unwrapping the concept of Inverse surveillance, and how it can be used to empower citizens with AI technology. Since we wanted to place surveillance in the hands of citizens, the first name that popped in mind […] The post Conceptualizing Inverse Surveillance appeared first on The Asimov Institute.| The Asimov Institute
The Brain Inspired podcast approached us for a conversation about Creativity and Constraint in Biological and Artificial Intelligence. We cover generating art with neural networks, AI’s challenges for neuroscience, and how the infamous frame problem in AI traces all the way back to Plato. Listen to it on iTunes, Spotify, or below: The post Podcast: Creativity and Constraint in Artificial and Biological Intelligence appeared first on The Asimov Institute.| The Asimov Institute
Cells The Neural Network Zoo shows different types of cells and various layer connectivity styles, but it doesn’t really go into how each cell type works. A number of cell types I originally gave different colours to differentiate the networks more clearly, but I have since found out that these cells work more or less […] The post Neural Network Zoo Prequel: Cells and Layers appeared first on The Asimov Institute.| The Asimov Institute
With new neural network architectures popping up every now and then, it’s hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containing many of those architectures. Most of these are neural networks, some are completely […]| The Asimov Institute