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,...
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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...
Novel electrolyte design shows promise for longer-lasting lithium-metal batteries
Lithium-metal batteries could exhibit significantly higher energy densities than lithium-ion batteries, which are the primary battery technology on the market today. Yet lithium-metal cells also typically have significant limitations, the most notable of which is a...
3D-printed decoupled structural lithium-ion batteries that are stable, robust and customizable
The widespread adoption of electric vehicles greatly relies on the development of robust and fast-charging battery technologies that can support their continuous operation for long periods of time. One proposed energy storage solution to improve the endurance of...
Flexible multi-task computation in recurrent neural networks relies on dynamical motifs, study shows
Cognitive flexibility, the ability to rapidly switch between different thoughts and mental concepts, is a highly advantageous human capability. This salient capability supports multi-tasking, the rapid acquisition of new skills and the adaptation to new situations.
Predicting the implications of transforming public transport depots in China into energy hubs
To reduce carbon emissions and mitigate climate change on Earth, governments and companies worldwide have been investing in the electrification of both public transport and private vehicles. China is among the countries that started exploring the electrification of...
A two-stage framework to improve LLM-based anomaly detection and reactive planning
Large language models (LLMs), such as OpenAI's ChatGPT, are known to be highly effective in answering a wide range of user queries, generalizing well across many natural language processing (NLP) tasks. Recently, some studies have also been exploring the potential of...
How working with AI impacts the collective attention of teams
The effectiveness of teamwork in professional and academic environments typically depends on various factors, including communication and coordinated attention. In this context, collective attention entails the ability of team members to cooperatively focus on the...