Work
Using artificial neural networks (ANNs) to predict bus arrival times
Accurately predicting the arrival times of buses is of key importance, particularly in hectic urban environments. Providing people with efficient and timely transportation can discourage them from...
Researchers present new direct-detection constraints on Sub-GeV dark matter
In a recent study, a team of researchers has presented new direct-detection constraints on eV-to-GeV dark matter interacting with electrons, using a new prototype detector developed as part of the...
Study confirms the precise nature of fractional crystallization in hard sphere mixtures
Although several past studies have investigated the formation of crystals from identical particles, the conditions under which non-uniform particles crystallize and the crystals resulting from this...
Study highlights the potential of nanotube digital electronics
Some experts in the field of electronics engineering have suggested that the use of silicon complementary metal-oxide semiconductors (CMOS) will start declining rapidly by the end of 2020. Despite...
Study unveils new spatiotemporal dynamics of carriers in perovskite thin films
Hybrid organic or inorganic halide perovskites are a unique class of solar cell materials that break some of the material design rules that have been in place for over 30 years. For instance, they...
A new approach to overcome multi-model forgetting in deep neural networks
In recent years, researchers have developed deep neural networks that can perform a variety of tasks, including visual recognition and natural language processing (NLP) tasks. Although many of these...
Study explores interactions between world leaders on social media
Researchers at the University of Southern California (USC) have recently carried out a study investigating the interactions among different world leaders and influential political figures on social...
Investigating the motility of swimming Euglena
Some species of Euglenids, a diversified family of aquatic unicellular organisms, can perform large-amplitude, elegantly coordinated body deformations. Although this behavior has been known for...
Researchers develop a dynamic keyboard character recognition system
Researchers at NIT Silchar, India, have recently developed a new dynamic hand-gesture-based keyboard character recognition system. This virtual keyboard system, presented in a paper published in...
A new approach to discover visual patterns in art collections
Researchers at UC Berkeley and Ecole des Ponts Paris Tech have recently developed a deep learning approach for discovering recurring visual patterns in art collections. Their paper, pre-published on...