MIT's robotic insects, engineered for efficient pollination, aim to increase agricultural productivity and sustainability through advanced flight capabilities.
By combining physics-based data with algorithms powered by generative AI tools like DALL-E, improved methods for modeling the Earth's climate are being developed. Computer scientists in San Diego and Seattle ???????are using this approach to create a model that predicts climate patterns over a century, performing 25 times faster than current methods.
The world’s first AI-designed urban wind turbine, customized to the particular wind conditions of a particular region, was unveiled by precision metal fabricators KwikFab and AI design experts EvoPhase.
Researchers at the University of Pennsylvania School of Engineering and Applied Science (Penn Engineering) have introduced PanoRadar, a novel tool designed to enhance robotic vision by converting basic radio waves into detailed, 3D representations of the environment.
A new teleoperated robotic system developed for lunar missions enables precise remote collection of moon dust. This technology enhances efficiency and reduces costs, offering improved simulation-based operations for future lunar exploration and resource management.
Researchers at the University of Bristol have made significant progress in developing teleoperated robots for collecting lunar dust.
NYC-based software-as-a-service company OrbitMI is prioritizing data integrity with its Orbit vessel performance platform to deliver high-quality real-time data that can enable smarter voyage decision-making to boost efficiency, sustainability, safety and profitability.
The autonomous artificial forest (3D AF) utilizes solar vapor generation and fog harvesting to collect freshwater. This innovative 3D-printed system, featuring advanced materials, autonomously adapts to environmental changes, providing a sustainable solution to global freshwater scarcity
The research team under the direction of Professor Baek Sang-Soo at Yeongnam University, and Dr. Son Moon's team at the Korea Institute of Science and Technology (KIST) Water Resource Cycle Research Center has created a technology that employs data-driven artificial intelligence to precisely forecast the ion concentration in water during electrochemical water treatment procedures.
Fieldwork Robotics Ltd. (“Fieldwork”), developers of selective, adaptive and modular harvesting robots, is pleased to announce that it has developed a new robotic model: the human pickers. The company is also working with Costa Group, Australia’s leading producer of fresh fruit and vegetables. The agreement will see Fieldwork’s robots deployed for trials at Costa berry farms over the next 12 months, with field trials taking place from Q1 2025.
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