Ashis Khan’s Post

Last week, Giatec's very own Sarah McGuire, AVP of Business Development, was featured on a panel with other technology thought leaders at the Texas Aggregates & Concrete Association's 70th Annual Meeting! 🤖 A big shoutout to the panelists who gave their wonderful perspectives on utilizing AI within the concrete industry: 🎙️ Matthew Jetmore, Executive VP and GM, Central Region, Lauren Concrete 🎙️ Erica Flukinger, Digital Director, Heidelberg Materials 🎙️ Dean Marris, Chief Data Science Officer, Coretex, an EROAD company 🎙️ Stephanie Hampton, Director of Technical Sales & Customer Success, AICRETE 🎙️ Shelby O. Mitchell, VP of Business Development and Outreach, BCMI Corp. The panel focused on practical applications of AI for materials producers, as well as where companies can begin to integrate AI into their businesses! If you're interested in learning more about AI within the industry, stay tuned for a special announcement 👀 #ArtificialIntelligence #Concrete #TACAM70

I'm excited to share that my colleague Mr. Arpit Raj will be presenting our paper on 'Leveraging AI to Build an ESG Roadmap for the Maritime Industry' at the Global Maritime Seminar 2024 (GLOMARS 2024) on March 9th 2024, hosted by The Institute of Marine Engineers (India). This research paper explores how Artificial Intelligence can drive ESG practices in the maritime sector. 🌊   #dnv #ai #esg #maritimeindustry #sustainability

Excited to share insights on LINNA®, Kimitec's disruptive and propietary Artificial Intelligence platform, redefining the future of agriculture with the power of AI. LINNA® is at the forefront of decoding the mysteries of nature, aiming to substitute chemical synthesis with effective, sustainable natural alternatives. With over 15 years of expertise in natural molecules, LINNA® accelerates discovery, research and develop of Next generation of Biologicals. LINNA® is not just an AI platform; it's a Computational Biology Platform for sustainable agriculture, targeting to screen 3-5 million natural compounds by 2030 with over 95% prediction accuracy. As we look forward to LINNA® expanding into nutrition, livestock, aquaculture, and cosmetics, it's clear that Kimitec is paving the way for a healthier planet and future generations Kimitec’s vision, together with LINNA®’s capabilities, showcases an unwavering commitment to innovation, sustainability, and the pursuit of a balanced ecosystem. Let’s embrace this shift towards a natural, efficient, and productive agricultural system. #AgricultureInnovation #SustainableFarming #LINNA #Kimitec #AIinAgriculture https://lnkd.in/dRfus4hA

Excited to share insights on LINNA®, Kimitec's disruptive and propietary Artificial Intelligence platform, redefining the future of agriculture with the power of AI. LINNA® is at the forefront of decoding the mysteries of nature, aiming to substitute chemical synthesis with effective, sustainable natural alternatives. With over 15 years of expertise in natural molecules, LINNA® accelerates discovery, research and develop of Next generation of Biologicals. LINNA® is not just an AI platform; it's a Computational Biology Platform for sustainable agriculture, targeting to screen 3-5 million natural compounds by 2030 with over 95% prediction accuracy. As we look forward to LINNA® expanding into nutrition, livestock, aquaculture, and cosmetics, it's clear that Kimitec is paving the way for a healthier planet and future generations Kimitec’s vision, together with LINNA®’s capabilities, showcases an unwavering commitment to innovation, sustainability, and the pursuit of a balanced ecosystem. Let’s embrace this shift towards a natural, efficient, and productive agricultural system. #AgricultureInnovation #SustainableFarming #LINNA #Kimitec #AIinAgriculture https://lnkd.in/dRfus4hA

OctaiPipe and Arup have collaborated on a groundbreaking whitepaper! Learn about the potential of #federatedlearning in the water industry through our full white paper here: https://bit.ly/4amYjnP. Find out more about how the water industry can drive advancements in water management practices and unlock significant value through Edge AI empowered by FL. #OctaiPipe #ARUP #FederatedEdgeAI

Relieve load from stretched modelling resource with Growth Modelling Automation. Learn how you can automatically update hydraulic models, run growth impact assessment simulations & complete of detriment analysis documentation and quickly re-run with updated data! Book a meeting to find out more 👉 https://lnkd.in/egXKXTar #Water #Wastewater #CSO #DWMP #WaterManagement #ClimateChange #AI #MachineLearning #Optimisation #RealTimeSimulation #DataScience #InteractiveReporting #Innovation #HydraulicModelling #ICM #Infoworks

A massive CDR AI Heart to keep track of all the research. Only one person in the world probably scans through the majority of CDR publications, and that's Andrew Lockley from Carbon Removal Updates. For the rest of us, we have to pick and choose what to follow. Today, there are over 50,000 publications on CDR, (with most research coming from China, driven by studies on biochar and soil carbon sequestration interestingly enough.) There is a solution: the State of CDR team has built a living, AI-enhanced systematic map of CDR research that tracks developments in the field almost in real-time. The interactive tool, hosted on the State of CDR Data Portal, lets users identify relevant research through pre-defined filters. Very cool. Link: https://lnkd.in/gbK6qUVD

Come and listen to my #Pistoia webinar tomorrow - I'll touch on how #datademocratisation and therefore #scientficdiscovery can be enabled via foundational data management and #AI ....

Our paper "Identifying Label Errors in Object Detection Datasets by Loss Inspection" by Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel Kröll, Dr. Sebastian Schoenen, Sinisa Segvic and myself has been accepted for publication in the proceedings of #WACV2024! In this work we consider four types of bounding box label errors: missing labels, labels that do not correspond to any object, labels with wrong class and label with inaccurate localization. We demonstrate that they can be detected via an instance-wise loss inspection. For benchmarking we perturb labels from well-labeled datasets and demonstrate that we detect these errors, but we also demonstrate that we can find real label errors in common object detection datasets by our method. The preprint is available here: https://lnkd.in/gesYSukf . In the conference version we add a theoretical justification for our method. Stay tuned and maybe meet us on Hawaii at #WACV2024. This is a collaboration of Technische Universität Berlin, ControlExpert GmbH, University of Zagreb/Sveuciliste u Zagrebu / FER, Bergische Universität Wuppertal / Interdisziplinäres Zentrum Machine Learning and Data Analytics

⌛️Deadline approaching - Sumbit a session proposals for D3A 2.0 no later than June 1 ⌛️ Did you miss a session at D3A 1.0 back in February? Now is your chance to put your own stamp on D3A 2.0 in Nyborg in October. We invite proposals from researchers and professionals across disciplines, supporting and strengthening interdisciplinary research and collaboration. If you wish to connect and share ideas with others within the Danish Digitalization, Data Science and AI community, you can join our D3A LinkedIn group here: https://lnkd.in/dsQYyUp5 Submit your session proposals 👉 https://lnkd.in/eestvwgx The D3A 2.0 Conference is co-organized by the Pioneer Centre for AI, DDSA - The Danish Data Science Academy and DIREC - Digital Research Centre Denmark, and will take place 22-23 October, 2024 in Nyborg. We look forward to receiving your proposals, and seeing you in Nyborg! 🤗 #D3A #computerscience #opencall