At the heart of the discipline of artificial intelligence is the idea that one day we’ll be able to build a machine that’s as smart as a human. Such a system is often referred to as an artificial general intelligence, or AGI, which is a name that distinguishes the concept from the broader field of study. It also makes it clear that true AI possesses intelligence that is both broad and adaptable. To date, we’ve built countless systems that are superhuman at specific tasks, but none that can match a rat when it comes to general brain power.
Industry 4.0 is all about streamlining the manufacturing/production process and the supply chain by incorporating new technologies such as sensors, IoT, informatics, digital, AI, connectivity, 3D printing, robotics and others. Industry 4.0 is obviously highly technological, with an aim of efficiency, and humans may or may not be physically present in the process. It involves practical execution of manufacturing. Optimization does not only mean improved productivity, of course. By focusing on humans, Industry 4.0 above all helps to eliminate overly strenuous or mind-numbing work.
Christian Wolf is associate professor at INSA in Lyon and LIRIS since 2005. Since 2017, he is on leave with INRIA and CITI. He is interested in computer vision and machine learning, deep learning, especially in the visual analysis of complex scenes in motion and robotics: gesture and activity recognition and pose estimation.
While the technological developments in Artificial Intelligence offer new opportunities for big data analysis; While the rampant implantation of sensors and connected objects multiplies the capacity of data capture in our professional and personal environments, public or private; Whereas robotics is both a sensorimotor system for collecting data that can feed the progress of Artificial Intelligence and the embodiment of artificial intelligence, which can put it into action in the physical world;
The stakes have become very high and public and private organizations are gearing up to capitalize on the opportunities raised by these new technologies, anticipate their impacts, and better regulate their use.
Study undertaken by the Cognitive Science Institute of Osnabrück University, original article
Self-driving cars are posing a new challenge to our ethics. By using algorithms to make decisions in situations where harming humans is possible, probable, or even unavoidable, a self-driving car’s ethical behavior comes pre-defined. Ad hoc decisions are made in milliseconds, but can be based on extensive research and debates.