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Discover how artificial intelligence is transforming the landscape of materials science in this in-depth whitepaper, "Accelerating Materials Science Discovery Through AI-Powered Active Learning." This expert-led resource explores how active learning - a machine learning technique that prioritizes the most informative data - can dramatically reduce the time and cost of discovering new materials.

Key highlights include:

• How AI and active learning streamline experimental design and reduce the number of physical tests needed.
• Real-world case studies from leading research institutions and industry pioneers.
• Strategies for integrating AI into R&D workflows to accelerate innovation and improve outcomes.
• Insights into data-driven decision-making and predictive modelling in materials development.

Ideal for materials scientists, R&D leaders, and AI practitioners, this article provides actionable insights into the future of smart experimentation and discovery. Whether you're exploring AI adoption or optimizing existing processes, this guide offers a roadmap to faster, more efficient materials innovation.

Discover how laboratories across industries are transforming operations by unlocking the power of big data. This SmartLab Europe Exchange report explores strategies for overcoming data silos, improving data quality, and implementing scalable storage solutions. Learn how predictive analytics, AI, and machine learning can drive faster decision-making, optimise workflows, and enhance compliance. The guide also highlights the importance of upskilling lab teams and building a data-driven culture to fully realise the potential of analytics in scientific environments.

With Sapio’s unified, science-awareTM LIMS/ELN, PTC Therapeutics integrated its approach to research with a single enterprise platform and consolidated vendor solutions.

Explore how Sapio Jarvis transforms fragmented lab data into actionable insights through a science-aware data cloud. This whitepaper outlines the challenges of data silos in research environments and introduces a powerful solution that integrates, contextualizes, and visualizes scientific data across ELNs, LIMS, and instruments. Learn how Jarvis enables FAIR data access, supports advanced analytics, and empowers scientists—not coders—with intuitive tools for decision-making, collaboration, and innovation. Ideal for biopharma, clinical labs, and R&D leaders seeking scalable, AI-ready data infrastructure.

Discover how Uncountable helps Repsol, a global multi-energy company leading the energy transition, achieve its goal of zero net emissions by 2050.