Work
Dr Lisa Hibbard – Actively Learning Chemistry: Blended Classes for First Year College Students
Flipped learning is an exciting new educational strategy aimed at maximising learning by delivering the content of courses online, while focusing classroom time on student-centred active learning...
Researchers observe two-fold symmetric superconductivity in 2D niobium diselenide
In recent years, many material scientists worldwide have been investigating the potential of two-dimensional (2D) materials, which are composed of a single layer or a few ultrathin layers of atoms...
Remapping and realignment in the hippocampal formation predict context-dependent spatial behavior
Past neuroscience research has consistently highlighted the role of the hippocampal formation in contextual memory, the ability to remember specific contexts or environments. In this brain area,...
CaSiNo: A collection of campsite-based dialogs to develop automatic negotiation systems
Artificial agents that negotiate with humans could have a broad range of valuable applications, for instance, helping humans to improve their negotiation skills in a variety of fields. To enhance...
An artificial neural network to acquire grounded representations of robot actions and language
To best assist human users while they complete everyday tasks, robots should be able to understand their queries, answer them and perform actions accordingly. In other words, they should be able to...
A genetically encoded sensor to measure serotonin dynamics in vivo
Serotonin (5-HT), one of the primary hormones released in the human brain, has many essential functions. For instance, serotonin is known to stabilize the mood, produce feelings of well-being,...
SurvNet: A backward elimination procedure to enhance variable selection for deep neural networks
In recent years, models based on deep neural networks have achieved remarkable results on numerous tasks. Despite their high prediction accuracy, these models are known for their "black-box" nature,...
A stretchable and suturable fiber sensor to monitor biomechanical tissue strain
Implantable electronics are among the most promising healthcare technologies, as they can help to remotely monitor specific biological processes associated with a patient's health. While researchers...
An on-skin device to measure sweat—rate, loss and temperature—in real-time
Monitoring sweat-related dynamics, such as sweat rate, cumulative sweat loss and sweat temperature over time could help doctors to diagnose thermoregulatory disorders and other illnesses related to...
CineMPC: An algorithm to enable autonomous drone-based cinematography
Emerging technologies such as artificial intelligence (AI) algorithms, mobile robots and unmanned aerial vehicles (UAVs) could enhance practices in a variety of fields, including cinematography. In...