Iris.ai is one of the world’s leading start-ups in the research and development of artificial intelligence (AI) technologies. Founded in 2015, the start-up offers an award-winning AI engine for scientific text understanding. The company uses Natural Language Processing/Machine Learning to review massive collections of research papers or patents: find the right documents, extract all their key data or identify the most precise pieces of knowledge. Applied to literature reviews, data extraction, document summarization, competitive intelligence or any other task involving thousands of documents like papers or patents, R&D professionals and students no longer waste time on tasks the Iris.ai tools can do for them. Iris.ai collaborates both with innovation-oriented universities and corporate customers, and contributes to many joint research projects fostering Open Science and innovation.
Now releasing the ‘Researcher Workspace’, a modular software suite for processing scientific knowledge on an unprecedented scale, on some tasks reducing months of manual work to minutes.
ArcelorMittal Collaborates with Iris.ai to Advance its Use of Scientific Research
The Thermo Scientific ARL X’TRA Companion represents an excellent choice for routine analysis with its advanced/Bragg-Brentano benchtop X-Ray diffractometer configuration. It incorporates cutting-edge technological elements to ensure precision, accuracy, safety, and user-friendliness.
The Avio® 550 Max is a compact, fully simultaneous ICP-OES instrument with Scott/Cross-FlowTechnology.
ATLAS is a state-of-the-art TPMS telematics gateway that allows monitoring all your sensors with a single device.
AZoMining speaks to Francois Nell at Sandvik about the importance of mining sustainability and why equipment rebuilding and upgrades play their part in reducing fuel consumption.
AZoMining speaks to Philip Gross, CEO of Snow Lake Lithium, about the development of the world's first electric lithium mine. This is a particularly important development within mining and highlights the significance of accelerating green mining across the world.
Prof. James Tour
AZoMining speaks with James Tour from Rice University about his team's exciting method that has the very real potential to recover valuable REE from three types of waste; electronic waste, coal fly ash and bauxite residue.