The transportation sector is still among the main sources of air pollution and climate change on Earth, accounting for approximately 59% of oil consumption and 22% of CO2 emissions. Identifying effective strategies to limit the fuel consumed by vehicles could...
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Catalyst design boosts performance of anion-exchange-membrane fuel cells
Fuel cells are energy-conversion solutions that generate electricity via electrochemical reactions without combustion, thus not contributing to the pollution of air on Earth. These cells could power various technologies, ranging from electric vehicles to portable...
Engineering approach can improve stability of perovskite solar cells under reverse bias conditions
Solar cells based on perovskites, a versatile class of materials with promising optoelectronic properties, are gradually making their way toward commercialization. While these solar cells can have notable advantages over existing solar cell designs, including higher...
Exploring the fundamental reasoning abilities of LLMs
Reasoning, the process through which human beings mentally process information to draw specific conclusions or solve problems, can be divided into two main categories. The first type of reasoning, known as deductive reasoning, entails starting from a general rule or...
Researchers develop a new humanoid platform for robotics research
Advancements in the field of robotics are fueled by research, which in turn heavily relies on effective platforms to test algorithms for robot control and navigation. While numerous robotics platforms have been developed over the past decades, most of them have...
New two-finger robotic hand tackles everyday manipulation tasks in real-world experiments
To reliably assist humans with daily tasks in a broad range of real-world settings, robots should be able to effectively and dexterously manipulate different types of objects. The development of new cost-effective robotic grippers or other hand-like artificial systems...
How hardware contributes to the fairness of artificial neural networks
Over the past couple of decades, computer scientists have developed a wide range of deep neural networks (DNNs) designed to tackle various real-world tasks. While some of these models have proved to be highly effective, some studies found that they can be unfair,...
Ultra-stable layered oxide cathodes could boost battery performance
Recent efforts aimed at developing more advanced battery technologies have in great part focused on designing novel cathode materials. This is because existing cathodes do not perform well at high voltages and can contribute to the rapid loss of battery capacity.
The first tensor processor chip based on carbon nanotubes could lead to energy-efficient AI processing
Artificial intelligence (AI) and machine learning tools have proved to be highly effective in tackling various tasks that entail analyzing data and making accurate predictions. Despite their advantages, these tools have significant computational demands, and when...
Simplified robotic gripper can still tackle complex object manipulation tasks
In recent years, roboticists worldwide have designed various robotic grippers that can pick up and manipulate different types of objects. The grippers that are most effective in tackling real-world manual tasks, particularly complex object manipulation tasks, are...