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.
Researchers explored the innovative "Immutably" platform by Context Labs, designed to combat greenwashing by providing transparent, verifiable emissions data using advanced analytics and blockchain technology. The platform, developed by Dan Harple SM '13, helps organizations accurately measure, monitor, and verify their environmental impact, driving genuine sustainability efforts across various industries.
A team of researchers from Osaka Metropolitan University have recently evaluated the environmental costs of artificial intelligence (AI), revealing the requirement for global sustainability initiatives.
Recently, scientists at the US Department of Energy’s (DOE) Argonne National Laboratory, in close collaboration with researchers Aditya Grover and Tung Nguyen at the University of California, Los Angeles, began developing large artificial intelligence (AI) models for weather forecasting, known as foundation models.
Bin Hu and colleagues published a study in ACS Analytical Chemistry on establishing mobile detection systems for hazardous gases and volatile organic compounds (VOCs) by designing remote-controlled sampling devices such as aerial drones and miniature remotely operated ships.
Researchers, in a study published in The Innovation, developed a bionic spine for soft robots inspired by vertebrate animals' spines. By integrating sensing and actuation into a single device using materials like lead zirconate titanate (PZT), the bionic spine enables complex motions and behaviors without external sensors.
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