Added: Sia Tallant - Date: 02.03.2022 05:29 - Views: 29636 - Clicks: 615
Figure 1. Moving towards technology or AI as a friend, rather than foe, of the creative practitioner does appear to depend on your perception and need. The consideration of technology now is not so much about a cold mechanical monster which will take over any form of hand-touch making, it is more about harnessing a new form of intelligence and using this to move creative praxis forwards.
In Paratus People published an article which presented how the Internet of Things IoT could close the employment disability gap. The cloud-based data supported the use of AT which could be used by over a billion people worldwide who have registered as having some form of physical or sensory ability needs. The triangular region shows how the current value of technology practice is restricted to a technical engineering value, with the greater discourse around cultural and organisational aspects of craft being set within a technological practice.
Figure 2. A merging of technologies such as artificial intelligence, robotics, Internet of Things IOT , digital fabrication, and machine learning are embedded within the physical world. The use of smart technology is becoming ubiquitous in the modern de world. Machine learning is one form of artificial intelligence, but one that has grown rapidly in recent years.
Its basic idea is to take vast volumes of data and find patterns in these data. Once found, these patterns can be used to make predictions, to classify new and unknown data. Machine learning provides deers with an opportunity to create more user-centred products. It can personalise the experiences of individuals that use a product and can give insight into the way users interact with our des. Machine learning also allows us how to predict user behaviour, and so build more robust des. Similarly, applications using natural language understanding have enabled people to interact with computers so that they understand the things they say; digital assistants such as Siri and Alexa are good examples.
The Internet of Things IoT is based upon the idea that such smart appliances can collect and communicate data and that these devices to talk to each other. The use of AI in smart cities can be profound — cameras can recognise people and faces, monitor crowds, and have been used to predict such aspects as parking and traffic management, waste and disposal management. Whilst there are many positive aspects of this level of smart monitoring, this also comes laden with substantial privacy and security concerns. Increasingly, such impacts on human behaviours come with responsibilities that are now central to the de of these systems.
Figure 3. In more everyday de work, Microsoft PowerPoint uses AI-powered features to streamline graphic work such as suggesting de ideas and visual layouts to presentations. Figure 5. AI in de also opens up many more possibilities to us as deers, allowing us to manage far larger de spaces in the search for good solutions. But it makes us question creativity and our relationship with technology. Deers need to find meaningful ways to use the technology in their work, rather than feeling disempowered by it.
A good example of this exploration of de spaces can be found in the Nutella marketing campaign launched in February where a single AI algorithm deed 7-million unique labels des using variations of colours, shapes, polka dots, zigzags and lines. These emerging technologies bring ificant positive impacts but clearly pose more philosophical questions too. He reports how AI has composed music performed by the London Symphony Orchestra, won a literary prize and can identify emotions in people and convey these in an abstract painting.
Google has made the code open source so that deers and artists can modify it and create their own versions. Of course, many would argue that such images are derivative and show little genuine creative spirit; merely reproducing fashionable trope. Figure 7. We only reinvent, make connections between things we have seen. But, as we have noted above, AI and machine learning, in particular, are best seen as a way of codifying existing examples — they are not really creating from scratch.
Instead, we can view them as a means to represent existing practice and apply it to new situations. Figure 8. Automating complex tasks — such as the campaign of visual de as in the Nutella example gives greater freedom to deers to choose from a much wider pool of ideas — generated at speed. This enables us to evaluate, prototype and test ideas much more effectively. As deers, the flow of data in our connected world blurs the boundaries between the physical and the technological and enables a meaningful partnership with machines. Thus, enabling digitised global collaboration and new variations of an old craft, new formats and creations.
In the end, AI will enable deers to create forms that would be impossible for a lone human to construct. Figure 1 Moving towards technology or AI as a friend, rather than foe, of the creative practitioner does appear to depend on your perception and need. The Internet of Things IoT The Internet of Things IoT is based upon the idea that such smart appliances can collect and communicate data and that these devices to talk to each other. Figure 5 AI in de also opens up many more possibilities to us as deers, allowing us to manage far larger de spaces in the search for good solutions.
How can AI and Machine Learning aid our work as deers? About Author Elouise.Need creative friend
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