B.A (Hons) Comparative Literary Studies, M.A. Modern Cultures
David is an academic researcher and interdisciplinary artist primarily working with text, video, sound, and new technologies. His current research and practice is focused on the digital commons, AI, threshold spaces between the virtual and the real, utopia(s), philosophical discourses, and cybernetic cultures. Obtaining both his Bachelor’s and Master’s degrees from Goldsmiths, University of London, in Comparative Literary Studies and Modern Cultures respectively, his research took a sharp turn departing from literary and visual cultures and more recently into the field of futurism, artificial intelligence, deep-time, the Anthropocene and philosophies surrounding alternative ways of living.
David’s work includes presentations of academic papers at Warwick University, Goldsmiths, University of London, and Edinburgh University concerning topics such as utopian theory, artificial intelligence, science-fiction, and technocultures. He was recently invited to speak at CityLeaks festival in Amsterdam on his current research which explores how science and technology, particularly the internet and artificial intelligence, can be put into practice to influence a new shift towards utopianism and the reemergent theory of the commons.
David is currently a member of the temporary research programme at Sandberg Instituut ‘The Commoner’s Society’ – a research initiative that is striving to develop and propose a new kind of metropolis by reflecting on previous utopian models and strategies by working closely with research partners such as UvA (University of Amsterdam), Gerrit Reitveld Academie, Failed Architecture and Archis. He is a current contributor and copyeditor for the biannual publication Volume and assistant editor for the online publication for the art and technology based Digital Earth project. Furthermore, David has contributed to the research at KABK (Royal Academy of Art, The Hague) for their lectorate on ‘Design and The Deep Future’ and more recently produced content for AZoNetwork on new compact device technologies and nuclear waste strategies.
David currently resides in the Netherlands and continues to embed his research into an artistic practice recently taking part in group exhibitions at Het Nieuwe Institute, ISO Amsterdam, and University of the Underground. He is an avid science-fiction reader, film addict, and enjoys the practice of everyday life.
In a significant breakthrough for Parkinson’s disease assessment, researchers at the University of Rochester have developed a remote AI tool that can assess the severity of Parkinson’s disease with just ten taps of the finger.
A recent study headed by Stanford University claims that the exponential progress observed in artificial intelligence systems could radically alter the technological landscape and capabilities of what is possible in medicine.
Researchers at Harvard have been applying deep learning architecture to processes to crunch large sets of clinical data to identify the risk of Alzheimer’s.
Researchers at Tufts University School of Medicine, Boston, have used artificial intelligence (AI) to determine the effectiveness of novel TB drug-pair treatments.
Researchers at the Tokyo Institute of Technology (Tokyo Tech) have applied machine learning to develop an odor prediction technique that could be used to design new fragrances, odors, and smells.
Researchers from the University of Cambridge have recently developed a new algorithm that uses machine learning to help preserve good battery health in EVs.
Researchers at Cornell have developed soft robotic hearts with an elastomeric pump well-suited for overcoming the challenges faced in soft robotics.
Overjet, an MIT alumni-founded company, is making endeavors to try and take the subjectivity out of dental X-Ray interpretation using artificial intelligence (AI) and, as a result, improve patient care.
Researchers at MIT working on insect-scale robots, or microbots, have drawn inspiration from nature by developing a flying microbot that emits light as it flies, much like a firefly.
Kohitij Kar, a researcher in the lab of MIT Professor James DiCarloThe researchers believes that machine learning could be an effective tool that could open up new pathways to modeling the computational capabilities of the human brain.
As part of an Editorial short series, AZoRobotics takes a look at how the renewable energy sector is harnessing the power of robotic technologies. Here, we take a look at robots in hydropower stations.
Amid the rapid global expansion of the wind energy sector, the integration of robotics is becoming pivotal for wind farm operators.
Like any renewable energy infrastructure, solar plants must be protected and secured. It is here where robots and autonomous systems can come into play.
Discover Cavitar’s welding cameras that can be used in a variety of situations to offer high-quality visualization of the welding processes.
MTI’s 1510A portable signal generator and calibrator is ideal for testing the integrity of sensor signal conditioning electronics.
Using the advantages of the phased array technology, Olympus has designed a powerful inspection system for seamless pipe inspections well-adapted to the stringent requirements of the oil and gas markets. This phased array system is flexible and can be used to match inspection performances and the product requirements of customers.