Solar cells based on perovskites, a class of materials with advantageous optoelectronic properties, have recently achieved power conversion efficiencies (PCEs) comparable to those of some silicon-based photovoltaics. Moreover, perovskite-based solar cells could be...
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Novel framework can generate images more aligned with user expectations
Generative models, artificial neural networks that can generate images or texts, have become increasingly advanced in recent years. These models can also be advantageous for creating annotated images to train algorithms for computer vision, which are designed to...
Study introduces new approaches to engineer stable and robust perovskite solar cells
Perovskites are materials with advantageous optoelectronic properties that could be used to develop more affordable photovoltaics (PVs). While in recent years engineers were able to significantly improve the power-conversion efficiencies of perovskite solar cells,...
Strain engineering approach enhances performance of 2D semiconductor-based transistors
The manipulation of mechanical strain in materials, also known as strain engineering, has allowed engineers to advance electronics over the past decades, for instance enhancing the mobility of charge carriers in devices. Over the past few years, some studies have...
Novel framework can create egocentric human demonstrations for imitation learning
One of the most promising approaches to teaching robots how to complete manual tasks such as cleaning dishes or preparing food is known as imitation learning. End-to-end imitation learning typically entails training a deep learning algorithm on raw videos, images...
Shrinking AI for personal devices: An efficient small language model that could perform better on smartphones
Large language models (LLMs), such as Open AI's renowned conversational platform ChatGPT, have recently become increasingly widespread, with many internet users relying on them to find information quickly and produce texts for various purposes. Yet most of these...
Integrated multi-modal sensing and learning system could give robots new capabilities
To assist humans with household chores and other everyday manual tasks, robots should be able to effectively manipulate objects that vary in composition, shape and size. The manipulation skills of robots have improved significantly over the past few years, in part due...
Optoelectronic device mimics human vision for diversified in-sensor computing
To make sense of the world, most humans rely in great part on their vision. Recent research suggests that the human visual system is hierarchical, meaning that it processes information on different levels, ranging from the low-level processing of sensory stimuli to...
A nervous system-inspired framework to deploy self-organizing robot swarms
The deployment of robot teams could allow humans to complete various real-world tasks faster and more efficiently. For instance, multiple co-operating robots could help to quickly find and rescue survivors of natural disasters or monitor pollution across large...
Seatbelt-integrated biosensor could reliably track the alertness and stress of pilots and drivers
Over the past decades, electronics and biomedical engineers have developed increasingly sophisticated biosensors, devices that can pick up biological signals from human users. These sensors, which are generally embedded in wearable or implantable technologies, often...