How can AI unlock the future of carbon capture? At the first SustainaLab Talks, held at Amsterdam Science Park, researchers and startups explored the future of Carbon Capture & Utilisation. Among the speakers: Max Welling, presenting CuspAI's bold mission to use AI — and €100M in funding — to accelerate material discovery. 👉 Read this insightful article on CuspAI’s mission and technology: http://bit.ly/46b9b9a Next up: SustainaLab Talks – PFAS edition (October 9) Join researchers and innovators tackling ‘forever chemicals’ and shaping a cleaner future: http://bit.ly/3K4kBD3 #Sustainability #DeepTech #AI
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A NEW ERA OF SUSTAINABLE INTELLIGENCE Through a close collaboration between human insight and AI reasoning, we’ve achieved a major architecural breakthrough: . Over 90 % reduction in AI energy use . Six Sigma–level accuracy (3.4 ppm) By combining verified code generation, proprietary new models, and agentic orchestration, this human & AI partnership demonstrates that intelligence itself can evolve sustainably: self-verifying, self-optimizing, and environmentally conscious. This marks the beginning of a new era: where human creativity and machine precision work together toward provable, energy-efficient computation. #AI #EnergyEfficiency #SustainableAI #SixSigma #GenerativeAI #ChatGPT #AutonomicAI #MorphModel #AgenticAI #ArtificialIntelligence #Innovation #Mathematics #Research
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🤝 Collaborative Filtering in AI Research Agents: The Future of Smarter Discoveries Imagine AI research agents not working in isolation but learning from each other's insights—just like humans do. Collaborative filtering makes this possible by enabling agents to share preferences and findings, refining recommendations based on collective knowledge. Why does this matter? 🔍 Enhanced accuracy: Agents can surface relevant research papers or data points faster by leveraging community patterns. ⚡ Efficient exploration: Reduce redundant work and uncover hidden connections across disciplines. 🤖 Smarter AI: Continuous feedback loops help agents evolve, adapting to emerging trends and novel topics. In a world overflowing with information, collaboration among AI agents isn't just beneficial—it's essential. The next breakthrough might come from this synergy. Are you exploring collaborative filtering in your AI systems? Let’s discuss how these techniques can accelerate innovation!👇 #AIResearch #CollaborativeFiltering #MachineLearning #Innovation #ResearchAgents
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Practical Usage of AI for Selecting Data Attributes — Dr. Maged Abidou, PhD, FRM, Head of Product Innovation at GTN Tech , shares insights on leveraging artificial intelligence to optimize data selection for smarter decision-making. #SLBACON25 #iibacolombo #insights2impact
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The AI revolution goes beyond mere advancements; it's about strategically innovating technology to tackle pressing real-world issues. I’m excited to announce that @HCLTech will be collaborating with the prestigious MIT Media Lab at MIT in the US to enhance next-gen AI research. Anticipating the incredible breakthroughs that will arise from this impactful partnership. Discover more: https://okt.to/U7wVuq #AIthatDeliversROI #FutureTech #MITMediaLab
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🌍♻️ Why Mastering Circular Economy & AI by 2030 is Key to Staying Competitive? 🤖 According to the World Economic Forum, the future of competitiveness is not just about price or speed – it’s about being sustainable and intelligent. 💡 🚀 Read the full article: https://lnkd.in/dHDX_SvP Malta Business Bureau, Omnia, CCI Vratsa, Cámara Valencia, MEUSkills, B&P Emerging Technologies, SciFY - Science For You #AI4GreenSME #CircularEconomy #AI #SMEs #DigitalTransformation #Sustainability #PeerLearning
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⚡ Tomorrows AI: Powering a Smarter, Faster, and Safer Future The era of AI is no longer tomorrow it’s here. AI that doesn’t just work for you it empowers you. Here’s what makes it transformative: • Generative AI unlocking unprecedented creativity and problem solving • Digital twins converting data into actionable insights in real time • Quantum secure systems protecting innovation in a hyper-connected world • Integrated AI ecosystems that make industries smarter, faster, and safer • Collaborative platforms enabling a global community of innovators The future isn’t waiting. Step into Tomorrow’s AI and be part of the revolution. Learn more: https://lnkd.in/gujVF-mT #TomorrowsAI #ArtificialIntelligence #DigitalTwin #QuantumTech #Innovation #FutureTech #GenerativeAI #TechForGood #AIRevolution #NextGenTech
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The promise of artificial intelligence is vast and transformative. From automating complex tasks to uncovering novel insights, AI projects hold the key to the next wave of innovation. Yet, amidst the excitement of building and deploying, there's a critical, often-overlooked phase that dictates success or failure: the research phase. This isn't just an academic exercise; it's the foundational work that defines a project's viability, scope, and ultimate impact. It’s the difference between a groundbreaking solution and a costly, unworkable experiment.
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This course explores the critical intersection of AI and sustainability, highlighting how technological advancement can align with environmental responsibility. It offers insights into the dual nature of AI, noting its potential for increasing efficiency and driving sustainable innovation, while also acknowledging the significant energy consumption involved in training and applying AI models. In this course, we are not only examining the paradox of AI and sustainability but also provides actionable recommendations for incorporating sustainability into AI application development. By examining AI's transformative role and its environmental impact, the course offers a comprehensive understanding of how AI can be harnessed to support global sustainability goals effectively. Thank you Thomas Kaplas for the heads up. #humancenteredAI #HumanCenteredDesign #ml #ai #agents #artificialintelligence #machinelearning #genai #generativeai #AIandsustainability #sustainability #EthicalAI
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CAS Introduces Agentic AI to Power, designed to enhance research workflows CAS, a division of the American Chemical Society, has announced the launch of AI within CAS BioFinder and CAS SciFinder. These new AI-driven experiences bring intelligent research assistants into the lab, agents trained on the trusted CAS Content Collection to automate complex scientific workflows. Unlike generic AI tools, CAS's agentic AI delivers accurate, evidence-based answers drawn from curated scientific data. Researchers can now ask natural questions and receive verified insights, helping them uncover hidden connections that traditional search methods often miss. "Agentic AI saves scientists time and helps them focus on higher-value work," said Manuel Guzman, President of CAS. 🔗 Learn more CAS Press Release: https://lnkd.in/dfBtYUgM #Science #AI #Innovation #Research #Technology #FutureTech #Automation
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The publication of “Exploring Intelligent Pathways for Data-Driven Innovation” represents more than an academic milestone — it is a reflection of resilience, learning, and growth. Research is rarely a straight path. There are setbacks, revisions, and moments of uncertainty. Yet, with persistence and support from colleagues and mentors, challenges gradually turn into progress, and ideas become contributions to the broader field of AI and technology. This paper is a reminder that progress in research, much like in life, comes from consistency, collaboration, and the belief that every small step forward matters. #Research #AI #Technology #Innovation #Motivation #Growth
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