An analysis of how rhinoceros beetles deploy and retract their hindwings shows that the process is passive, requiring no muscular activity. The findings, reported in Nature, could help improve the design of flying micromachines.
At the top of many automation wish lists is a particularly time-consuming task: chores.
To be deployed in a broad range of real-world dynamic settings, robots should be able to successfully complete various manual tasks, ranging from household chores to complex manufacturing or agricultural processes. These manual tasks entail grasping, manipulating and placing objects of different types, which can vary in shape, weight, properties and textures.
Dutch scientists have unveiled the country's first laboratory to research how autonomous miniature drones can mimic insects to accomplish tasks ranging from finding gas leaks in factories to search-and-rescue missions.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.
Haptic feedback stands as a cornerstone for the authenticity and depth of engagement in virtual reality and teleoperation systems. Yet, existing haptic devices have grappled with the fidelity of replicating tactile properties, hindered by the constraints on their degrees of freedom and expressive range. This limitation has ignited an urgent quest for innovative solutions that can augment the responsiveness and adaptability of haptic systems.
The future deployment of AIs and robots in our everyday work and life, from fully automated vehicles, to delivery robots, and AI assistants, could either be done by making increasingly capable agents that can do many tasks, or simpler more narrow agents that are designed for specific tasks.
Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability.