Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts. The team — Seungbak Lee and Ju-Pil Choe, both doctoral students in physical education, and Minsoo Kang, professor ofContinue Reading
Self-driving cars which eliminate traffic jams, getting a healthcare diagnosis instantly without leaving your home, or feeling the touch of loved ones based across the continent may sound like the stuff of science fiction. But new research, led by the University of Bristol and published today in the journal NatureContinue Reading
Researchers at the University of the Witwatersrand in Johannesburg, South Africa (Wits University) in collaboration with Huzhou University in China have discovered a way to protect quantum information from environmental disruptions, offering hope for more reliable future technologies. In a study published in Nature Communications, scientists have shown how certainContinue Reading
The compound — Ti₄MnBi₂ — becomes only the second known metallic system with confirmed one-dimensional magnetism. A study by researchers from the University of British Columbia’s Blusson Quantum Matter Institute (UBC Blusson QMI) has found a rare form of one-dimensional quantum magnetism in the metallic compound Ti₄MnBi₂, offering evidence intoContinue Reading
Many robotic applications rely on robotic arms or hands to handle different types of objects. Estimating the pose of such hand-held objects is an important yet challenging task in robotics, computer vision and even in augmented reality (AR) applications. A promising direction is to utilize multi-modal data, such as colorContinue Reading
Researchers discover a more eco-friendly approach to study light and matter interaction that could revolutionise development of emerging technologies. Researchers at the University of Turku in Finland have developed a simple method to explore a complex area of quantum science. The discovery makes research in this field cheaper and moreContinue Reading
We need to learn our letters before we can learn to read and our numbers before we can learn how to add and subtract. The same principles are true with AI, a team of New York University scientists has shown through laboratory experiments and computational modeling. In their work, publishedContinue Reading
