AI

Spiking neural networks, which mimic the structure and function of a natural nervous system, are powerful, fast, and energy-efficient. One key challenge is how to train such complex systems. An interdisciplinary research team has now developed and successfully implemented an algorithm that achieves such training. It can be used to train spiking neural networks to solve complex tasks with extreme energy efficiency. (source) We try to build computers with brain like our own. In

The AI systems we use are built on data. Data that are derived from the world we live in. As Business Analysts (BAs) working as trusted advisors towards a better world, our job is still the same in its core. We still work with people trying to understand needs and the best ways to satisfy them. However, with AI, a new dimension is added to this work: We must now also safeguard the way AI systems are trained and the way they produce outputs, so that these outputs are aligned w

Note: This article is part of a series of articles that are currently under development and internal review regarding the development of ethical AI. The goal of this series is the articulation of the Harmonia Philosophica AI Framework as a foundation for AI that adheres to the best possible ethical norms. Overview The rapid development of AI and AI agents in particular, has made the evaluation of the AI outputs necessary so as to adhere to the best ethical standards we have c

Artificial intelligence (AI) learning machines can be trained to solve problems and puzzles on their own instead of using rules that we made for them. But often, researchers do not know what rules the machines make for themselves. A new method quizzes a machine-learning program to figure out what rules it learned on its own and if they are the right ones. ( 1 ) Funny. Even if we get the correct result, we need to know. Was that based on the correct rules? Otherwise, it is not

Humans pay enormous attention to lips during conversation, and robots have struggled badly to keep up. A new robot developed at Columbia Engineering learned realistic lip movements by watching its own reflection and studying human videos online. This allowed it to speak and sing with synchronized facial motion, without being explicitly programmed. Researchers believe this breakthrough could help robots finally cross the uncanny valley. ( source ) Look at me. So that you can s

Paper by Vasiliki Papadopoulou As artificial intelligence (AI) enters the contemporary work space with all its promises and threats, the article examines, through the example of artistic work executed through AI systems, how the creator/ user of such systems is alienated from its work or even replaced by the providers of such systems, and how the creator’s work is mediated by a third party, the provider of AI systems. The results of such alienation and mediation can be demons

Artificial intelligence (AI) is becoming more common in many branches of industry and online retailing. Traditional lines of work, such as transport logistics and driving, are developing in a similar direction. Scientists have now investigated how efficient the use of AI is in the commercial management of trucks. Their answer: the best option is an intelligent combination of human decision-making and AI applications. ( 1 ) Come. Be my co-driver. And together we will travel th

Inspired by the mastery of artificial intelligence (AI) over games like Go and Super Mario, scientists have trained an AI agent - an autonomous computational program that observes and acts - how to conduct research experiments at superhuman levels by using the same approach. ( 1 ) There you go. Soon - even by the time you read this (because the news are a bit old) - computers will be conducting experiments like humans. And we will cry out in triumph. Without understanding tha

The use of AI in the field of psychology is expanding every day. In organizations AI systems are used to augment HR functions, control bias (interestingly enough), manage performance, support decisions on hiring etc. (https://psycnet.apa.org/fulltext/2026-91752-001.pdf) Even though the goals and the intent might be good, one thing we should always have in mind: The psychologist should always strive to do good rather than harm. And if this is difficult to follow when are a hum