Smart home technologies are marketed to enhance your home and make life easier. However, UK consumers are not convinced that they can trust the privacy and security of these technologies, a study by WMG, University of Warwick has shown.
Using a quantum computer to simulate time travel, researchers have demonstrated that, in the quantum realm, there is no 'butterfly effect.' In the research, information--qubits, or quantum bits--'time travel' into the simulated past.
New research from Professor Feng Li, Chair of Information Management at City's Business School has outlined three new approaches that digital innovators can take to reduce the risk of failure and seize competitive advantage in the industry.
In a recent study, researchers from The University of Texas at Austin show that a natural record - sediments packed together at basin margins - offers scientists a powerful tool for understanding the forces that shaped our planet over millions of years, with implications on present day understanding.
One of the earliest studies to look at mass acceptance of tracing apps, undertaken by international researchers, including Lancaster University, suggests that privacy (which is generally prioritised by governments in terms of app design) is only the top consideration for a certain group of people. Others would place greater weighting on other considerations, such as how convenient it would be to use.
New research demonstrates for the first time that artificial intelligence (AI) can be used to train computers to recognise individual birds, a task humans are unable to do. The research is published in the British Ecological Society journal Methods in Ecology and Evolution.
New software techniques make lighting in computer-generated images look more realistic for use in video games, extended reality, and scientific visualization tools.
Researchers at TU Graz and AVL focus on software systems of autonomous driving systems. They developed a method for generating safety-critical simulation scenarios and an adaptive control procedure for compensating for internal errors.
Neural networks in both biological settings and artificial intelligence distribute computation across their neurons to solve complex tasks. New research now shows how so-called 'critical states' can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware. The study was carried out by scientists from Heidelberg University working within the Human Brain Project, and the Max-Planck-Institute for Dynamics and Self-Organization (MPIDS). The results have been published in Nature Communications.
Researchers from CAMERA at the University of Bath have developed the first non-invasive way of measuring athletes' push start performance.