Posted in biological, robotics/AI
next is an advanced smart transportation system based on swarms of modular self-driving vehicles, refined by italian designers and engineers. the modules can drive autonomously on regular roads, joining themselves and detach even when in motion. when joined, the doors between modules fold, creating a walkable open space among modules. founded by tommaso gecchelin, the concept would greatly outperform conventional transportation when used in conjunction with other modules. the collection of next modules would improve traffic fluidity, commute time, running costs and pollution prevention by optimizing each module occupancy rate.
once linked, passengers would be able to walk between modules 
the modules would be individualized 
shipping and goods transportation could be adapted 
companies would offer specific modules to the system piotr boruslawski I designboom.
Countries spending billions on ‘third revolution in warfare’ as UN debates regulation of AI-powered weapons.
“If you went to bed last night as an industrial company, you’re going to wake up this morning as a software and analytics company.” Jeff Immelt, former CEO of General Electric
The second wave of digitization is set to disrupt all spheres of economic life. As venture capital investor Marc Andreesen pointed out, “software is eating the world.” Yet, despite the unprecedented scope and momentum of digitization, many decision makers remain unsure how to cope, and turn to scholars for guidance on how to approach disruption.
The first thing they should know is that not all technological change is “disruptive.” It’s important to distinguish between different types of innovation, and the responses they require by firms. In a recent publication in the Journal of Product Innovation, we undertook a systematic review of 40 years (1975 to 2016) of innovation research. Using a natural language processing approach, we analyzed and organized 1,078 articles published on the topics of disruptive, architectural, breakthrough, competence-destroying, discontinuous, and radical innovation. We used a topic-modeling algorithm that attempts to determine the topics in a set of text documents. We quantitatively compared different models, which led us to select the model that best described the underlying text data. This model clustered text into 84 distinct topics. It performs best at explaining the variability of the data in assigning words to topics and topics to documents, minimizing noise in the data.
Seek will also tell you which species you are most likely to see in your area, based on wildlife observations recorded and uploaded to iNaturalist. You will be given maps and charts to help you track down nearby flora and fauna — but if you prefer to explore on your own, Seek is happy to tell you about any random plant or insect that catches your eye.
INaturalist encourages all users to take photos of everything they see – even if it’s not on the list – to develop the AI’s ability to recognize wildlife. As co-founder Scott Loarie told My Modern Met, “The only way we can improve our modeling of species is to get more data, and to do that we need more people outside taking pictures.”
Seek is currently available on the App Store and is in beta testing for Android.
From research labs to factories, farms, and even our own homes, robots are everywhere these days. But which are the most important robots ever built? We decided to welcome our new robot overlords with just such a list. Read on to discover which robots we owe a debt of a gratitude for their part in turning science fiction into, well, science.
