NobleAI’s Post

🌍🔬 New Publication Alert! We are excited to share a groundbreaking article published in the Journal of Resource Recovery: "Utilizing Scrap Metals in Electrocoagulation: Revolutionizing Water Treatment with AI Applications for Enhanced Resource Recovery" (DOI: 10.61186/jrr.2405.1024) 📄 Authors: Hisham Kazim, Moin Sabri, Amani Lutfi Al-Othman, Muhammad Tawalbeh Please find the paper here: https://lnkd.in/dpsqqPMP This article explores the innovative use of scrap metals as electrodes in electrocoagulation processes, highlighting the role of AI-based techniques for optimizing process parameters and enhancing resource recovery. By leveraging sustainable energy sources and advanced modeling, this research aims to improve the removal efficiency of contaminants in wastewater treatment systems. The study emphasizes the potential of AI in managing complex systems, paving the way for more efficient and sustainable water treatment solutions. 🔍 Dive into this insightful study to discover how the integration of artificial intelligence with traditional methods is shaping the future of clean water systems and resource recovery. #WaterTreatment #ResourceRecovery #SustainableFuture #Electrocoagulation #InnovationInScience Journal of Resource Recovery

Thrilled to share this article, authored by our founders Hermann Tribukait & Loïc Roch, discussing the emergence of Self-driving Labs, prepared for the World Economic Forum Annual Meeting 2024. In this article, our founders articulate our vision of the future of R&D, emphasizing how Self-driving labs represent a transformative leap in R&D that is reshaping our understanding of time efficiency and of what’s possible. Self-driving labs are like time machines that fully integrate artificial intelligence, robotics and digital technologies accelerating R&D exponentially. These smart labs augment human researchers to significantly accelerate the pipeline and time-to-market of novel products. In tackling some of the toughest challenges across various fields, we believe that Self-driving Labs will play a pivotal role in steering industries towards a sustainable and circular economy. Exciting times ahead as we witness the convergence of these cutting-edge technologies blended with R&D and scientific exploration! #WEF24 #Davos #SelfDrivingLabs #SDLabs #AI #ML #Robotics #Digital  #Innovation #Technology #Chemistry #Materials #Discovery #Sustainability #CircularEconomy #SDGs

Why are we still manually assessing and analyzing plates in 2024? In the 1940s, Alexander Fleming, who discovered penicillin (on the bottom left), inspected and measured petri dishes by hand. Fast forward to today, and many labs are still doing the same thing. They are manually measuring microbial growth with rulers and visually inspecting plates, just like Fleming did almost a century ago. Why is that? Comfort People are naturally resistant to change. Sticking to what’s known and familiar often feels safer and more reliable. Culture Lab practices are deeply rooted in tradition. Changing them requires not just new tools, but a shift in mindset and culture. Human vs. Machine There’s a belief that no machine can replace the judgment of a skilled scientist. Manual inspection is seen as an art as much as a science. Tech skepticism Many in the field are wary of new technology. They’ve perfected their methods over the years and trust their eyes and hands more than a screen or an algorithm. It begs the question - are we holding on to old methods because they’re inherently better, or because we’re resistant to change? Sticking to the tried and true is comfortable, but are we missing out on the potential benefits of innovation? Moving to new methods isn’t just about adopting new tech, it’s about embracing a new way of thinking. It’s about evolving our culture to keep pace with advancements in science. What’s your take? Embracing change head-on, or is there value in sticking to the old ways? #biotech #microbiology #digitaltransformation

Excited to share this article on Self-driving Labs, prepared by invitation for the upcoming World Economic Forum Annual Meeting in Davos. AI, ML, robotics and cloud computing, blended with R&D researchers in the lab are exponentially accelerating the optimization and discovery of new molecules in academia and industry, today. Stay tuned and follow Atinary Technologies Inc. for updates and the latest developments on Self-driving labs technology. Cheers! #WEF24 #Davos #SelfDrivingLabs #SDLabs #AI #Robotics #Digital #Cloud  #Innovation #Chemistry #Materials #Discovery #Sustainability #CircularEconomy

Ever wondered how to transform your biomanufacturing process into a sleek, high-performing powerhouse? Let's dive deep into the world of Design of Experiments (DoE) – the secret ingredient that turns biotech wizards like us into maestros of optimization! 1. Set Your Sights High, Unveil Clear Goals: Start by envisioning your objectives with crystal clarity and pinpoint those critical quality attributes (CQAs) that can make or break your process optimization journey – they're your guiding star! 2. Choose Your Weapons Wisely: Be strategic! Delve into the realm of critical process parameters (CPPs) like a detective on a mission – media components, pH, temperature – every detail matters! 3. The Art of Experimental Design: No room for guesswork! Carefully choose your experimental design – whether it's full factorial, fractional factorial, or central composite – the magic lies in the plan! 4. Unleash the Power of Statistics – Your Secret Language: Embrace the world of statistics! ANOVA, regression analysis – they're not mere acronyms, they're your trusty companions in deciphering the language of results. 5. Metrics that Define Triumph: Chart your path to success! Your response variables – be it cell viability, titer, or glycosylation – pave the way to biomanufacturing glory! How do you leverage DoE? Share your wins in the comments below. #cellculture #processdevelopment #bioprocessing #celltherapymanufacturing #cellandgenetherapy #leadbiotech

I’m often asked why I invest so much time and effort in #DeepTech ecosystems, and my answer is simple: it’s where cutting-edge learning, transformative solutions, and the potential for groundbreaking innovations converge to shape a better future. By diving into the deep tech ecosystem, I engage with technologies that fundamentally alter our world, from #AI to #QuantumComputing and #BioTech. This immersion fuels my intellectual growth, fosters a spirit of curiosity, and positions me at the forefront of next-gen innovations that can reshape industries and improve lives. Moreover, deep tech is a breeding ground for solutions that address some of the most pressing challenges of our time, including #sustainability, #healthcare, and #climatechange. By dedicating my efforts here, I contribute to a community that is not just imagining the future but actively building it. Magnus Madsen’s point is spot on: "Moving to new methods isn’t just about adopting new tech, it’s about embracing a new way of thinking. It’s about evolving our culture to keep pace with advancements in science." I couldn’t agree more. This statement nails the essence of what’s needed for green innovation and breakthroughs. Embracing new paradigms is not only exciting but essential for progress. What’s your take? Embracing change head-on, or is there value in sticking to the old ways? #DeepTech #RandD #Science #Innovation

PolymRize is helping our clients pave the way towards a cleaner, healthier PFAS-free future!    With the power of data-driven insights and AI algorithms, PolymRize can offer sustainable alternatives to PFAS. Here's how we can help you eliminate PFAS from your products:   -New Material Discovery: Analyzing vast databases of polymer structures and properties to identify PFAS-free candidates tailored to specific applications.   -Property Predictions: Predicting the properties of new polymers to ensure they meet performance requirements while minimizing environmental and health impacts.   -Toxicity Assessment: Integrating data on environmental and health impacts to assess the safety of alternative materials and prioritize those with minimal toxicity.   -Life Cycle Analysis: Conducting comprehensive assessments of polymer-based products to identify sustainable alternatives across their entire life cycle.   Join us in using the power of polymer informatics in driving innovation towards a cleaner, safer future! To learn more, contact info@matmerize.com or visit www.matmerize.com. #PolymerInformatics #PFASFreeFuture #SustainableMaterials #Innovation #DataDrivenDecisionMaking #AIforPolymers

Having two versions of something can often be more efficient, such as having a real-life item and its identical digital counterpart. This concept, known as #digitaltwins, is applied in supply chains, manufacturing, and various other industries. Enhancements are digitally tested, and the most effective version is then implemented and monitored. For instance, we are exploring digital twins of bioreactors, which significantly speed up our entire research process. A bioreactor is a device that supports a biologically active environment, enabling the cultivation of cells, microorganisms, or biological molecules for research, production, or treatment purposes. Learn more from Michelangelo Canzoneri: https://lnkd.in/ggqABfVY

The science of today is the technology of tomorrow.