Category robots in business

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Demographics of north African human populations unravelled using genomic data and artificial intelligence

A new study places the origin of the Imazighen in the Epipaleolithic, more than twenty thousand years ago. The research concludes that the genetic origin of the current Arab population of north Africa is far more recent than previously believed, placing it in the seventh century AD. The team has designed an innovative demographic model that uses artificial intelligence to analyze the complete genomes of the two populations.

Towards smart cities: Predicting soil liquefaction risk using artificial intelligence

Soil liquefaction that results in infrastructure damage has long been a point of contention for urban planners and engineers. Accurately predicting the soil liquefaction risk of a region could help overcome this challenge. Accordingly, researchers applied artificial intelligence to generate soil liquefaction risk maps, superseding already published risk maps.

Sorting machine separates 16 million mosquito pupae a week, greatly reducing population

A team of engineers and pest control specialists in China has developed a machine that is capable of gender-sorting 16 million mosquito pupae a week. In their paper published in the journal Science Robotics, the group describes how they designed and built their sorter and how well it has worked during testing.

Intelligent skin for more precise communication and near-field sensing in robotics

Specific physical human-robot interactions are increasingly required in the manufacturing industry, the professional service sector, and health care. This necessitates improvements in comfort and convenience as well as in communication between humans and machines.

A visual-linguistic framework that enables open-vocabulary object grasping in robots

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.

The feel of the future: Elevating haptics with advanced dual-rate sampling

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.

Shared awareness could lead to greener, more ethical, and useful smart machines

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.

Robots, like animals, can adapt after injuries

Fish fins and insect wings are amazing pieces of natural engineering capable of efficiently moving their owners through water or air. People creating machines to swim or fly have long looked to animals as their models, designing airplanes with wings and boats with fin-shaped rudders. Over the past decades, researchers at Caltech and elsewhere have been exploring bioinspired engineering to see if other natural forms of motion might inform mechanical engineering.
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