Face recognition tools are computational models that can identify specific people in images, as well as CCTV or video footage. These tools are already being used in a wide range of real-world settings, for instance aiding law enforcement and border control agents in...
TECHXPLORE
A strategy to monitor spin-orbit torque switching and exchange bias over time
Magnetic random access memories (MRAMs), are among the most promising next-generation memory technologies. Their primary advantages over conventional computer memories and other emerging memory designs include their potential to achieve remarkably high speeds and...
A strategy to boost the efficiency of solar cells based on thin-film bifacial Cu(In,Ga)Se2
To tackle global warming, engineers have been trying to develop increasingly advanced technologies that can generate and store electrical energy more sustainably. The most renowned among these technologies are solar cells, devices based on photovoltaic materials that...
A reinforcement learning framework to enhance the ramp merging capabilities of autonomous vehicles
While many automotive companies are now invested in the development of self-driving cars, the vehicles created so far have not yet attained the safety levels necessary for them to be deployed on a large-scale. For this to happen, the vehicles will need to be able to...
A Bayesian machine based on memristors
Over the past few decades, the performance of machine learning models on various real-world tasks has improved significantly. Training and implementing most of these models, however, still requires vast amounts of energy and computational power.
A new approach for the 3D printing of hydrogel-based electronics
Hydrogels are three-dimensional (3D) polymer networks that do not dissolve in water but retain large amounts of liquids. Due to this advantageous property, hydrogels are particularly promising material platforms for both biomedical and environmental applications, as...
A memristor crossbar-based learning system for scalable and energy-efficient AI
Deep-learning models have proven to be highly valuable tools for making predictions and solving real-world tasks that involve the analysis of data. Despite their advantages, before they are deployed in real software and devices such as cell phones, these models...
A gyroscope-free system to efficiently control the flight of insect-size robots
Light-weight and flying robots the size of small insects could have highly valuable real-world applications, for instance supporting search & rescue missions, inspections of hazardous sites, and even space exploration.
A strategy to maximize photocurrent in organic photovoltaics by suppressing recombination loss
Organic photovoltaics (OPVs), solar technologies based on organic semiconductors, have shown great promise both for the scalable provision of clean energy and for the development of solar-powered wearable electronics. Despite their advantages, organic solar cells...
A 1.3-micrometer-thin elastic conductor for wearable and implantable devices
In recent years, engineers have been working to develop increasingly sophisticated and smaller electronic components that could power the devices of the future. This includes thin and stretchable components that could be easily worn on the skin or implanted inside the...