“For man to be able to live he must either not see the infinite, or… connect the finite with the infinite.” — Leo Tolstoy.
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The Infinite
Posted in futurism
Category: futurism – Page 1067
Self-driving cars are pretty cool. Really, who wouldn’t want to spend their daily commute surfing social media, chatting with friends or finishing the Netflix series they were watching at 4 am the night before? It all sounds virtually utopian. But what if there is a dark side to self-driving cars? What if self-driving cars kill the jobs? ALL the jobs?
In this video series, the Galactic Public Archives takes bite-sized looks at a variety of terms, technologies, and ideas that are likely to be prominent in the future. Terms are regularly changing and being redefined with the passing of time. With constant breakthroughs and the development of new technology and other resources, we seek to define what these things are and how they will impact our future.
The automotive industry is undergoing a period of rapid and radical transformation fueled by a range of technological innovations, digital advancements and wave after wave of new entrants and alternative business models; as a result, the entire sector is seeing major disruption.
Teaches artificial intelligence superhuman relational reasoning.
A key challenge in developing artificial intelligence systems with the flexibility and efficiency of human cognition is giving them a similar ability — to reason about entities and their relations from unstructured data. Solving this would allow these systems to generalize to new combinations of entities, making infinite use of finite means.
Modern deep learning methods have made tremendous progress solving problems from unstructured data, but they tend to do so without explicitly considering the relations between objects.
In two new papers, we explore the ability for deep neural networks to perform complicated relational reasoning with unstructured data. In the first paper — A simple neural network module for relational reasoning — we describe a Relation Network (RN) and show that it can perform at superhuman levels on a challenging task. While in the second paper — Visual Interaction Networks — we describe a general purpose model that can predict the future state of a physical object based purely on visual observations.
A total of 34 works were submitted as part of Hankook Tires’ Design Insight forum, with five winners chosen.
Mr Seung Hwa Suh, Vice Chairman and CEO of Hankook Tire said: ‘The Design Insight Forum to be held at Hankook Technodome is truly meaningful that one can witness fine works of young designers of the future tire innovation at the new and state-of-the art R&D center, Hankook Technodome.
‘Hankook Tire expects to create further synergies with the future leaders in collaboration with Hankook Tire’s technology leadership through the Design Insight Forum.’
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