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    <title>IFLAI Technical Insights</title>
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    <description>Research articles, deep dives, and technical insights from IFLAI — data-efficient, physics-informed AI.</description>
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      <title>The Case for AI That Learns More From Less</title>
      <link>https://iflai.com/insights/the-case-for-ai-that-learns-more-from-less</link>
      <description>Modern AI has been shaped by scale: more data, more compute, more parameters. But in science and industry, the next leap may come from models that are smaller, more efficient, and better grounded in the structure of the problem.</description>
      <pubDate>Tue, 26 May 2026 12:00:00 GMT</pubDate>
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      <author>IFLAI Research</author>
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      <title>The AI Risk Framing Problem: Extremes and Agendas</title>
      <link>https://iflai.com/insights/the-ai-risk-framing-problem</link>
      <description>Discussions around AI risk are often framed in apocalyptic or utopian extremes. A closer look at the data reveals why neither narrative reflects reality.</description>
      <pubDate>Tue, 12 May 2026 12:00:00 GMT</pubDate>
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      <author>IFLAI Research</author>
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      <title>Why 5 Datapoints Outperforms 50,000: Physics-Informed Priors, Not Fine-Tuning</title>
      <link>https://iflai.com/insights/5-datapoints-vs-50000</link>
      <description>IFLAI&apos;s approach to data-efficient microscopy AI isn&apos;t foundation model fine-tuning. It&apos;s something fundamentally different: building physics into the architecture itself.</description>
      <pubDate>Fri, 24 Apr 2026 12:00:00 GMT</pubDate>
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      <category>Medtech</category>
      <author>IFLAI Research</author>
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      <title>Label-Free Characterization of Few-kDa Biomolecules via Hierarchical Vision Transformers</title>
      <link>https://iflai.com/insights/label-free-mass-characterization</link>
      <description>A deep dive into our recent Nature Communications paper demonstrating how Vision Transformers augment nanofluidic scattering microscopy to achieve unprecedented mass and size characterization.</description>
      <pubDate>Sun, 15 Mar 2026 12:00:00 GMT</pubDate>
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      <category>Medtech</category>
      <author>IFLAI Research</author>
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      <title>How Physics-Informed AI Accelerates Drug Discovery at AstraZeneca</title>
      <link>https://iflai.com/insights/how-physics-informed-ai-accelerates-drug-discovery</link>
      <description>A look at our recent feature in Invest in Gothenburg, detailing our collaboration with AstraZeneca and how integrating physical priors into AI architectures dramatically reduces the data required for automated drug screening.</description>
      <pubDate>Mon, 09 Feb 2026 12:00:00 GMT</pubDate>
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      <category>Medtech</category>
      <author>Henrik Klein Moberg (CTO)</author>
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      <title>Securing the Future: Detecting Zero-Day Physical Threats with AI</title>
      <link>https://iflai.com/insights/securing-the-future</link>
      <description>How active learning and edge-deployed computer vision are enabling security teams to respond to novel threats without months of retraining.</description>
      <pubDate>Tue, 20 Jan 2026 12:00:00 GMT</pubDate>
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      <category>Security</category>
      <author>IFLAI Security Labs</author>
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      <title>Advancing Science with Data-Efficient AI: CHAIR 2025 Keynote</title>
      <link>https://iflai.com/insights/chair-keynote-2025</link>
      <description>Watch our CTO, Henrik Klein Moberg, present our core philosophy on physics-informed architectures at the Chalmers AI Research Centre (CHAIR) Students of AI 2025 event.</description>
      <pubDate>Fri, 19 Dec 2025 12:00:00 GMT</pubDate>
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      <category>Research</category>
      <author>IFLAI Research</author>
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      <title>Inductive Biases for Efficient Deep Learning in Microscopy</title>
      <link>https://iflai.com/insights/inductive-biases-deep-learning</link>
      <description>A deep dive into how baking physical intuition into neural network architectures allows for extreme data efficiency in microscopy.</description>
      <pubDate>Tue, 10 Jun 2025 12:00:00 GMT</pubDate>
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      <category>Research</category>
      <author>IFLAI Research</author>
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      <title>Spatial Clustering of Single-Molecule Localizations via Graph Neural Networks</title>
      <link>https://iflai.com/insights/spatial-clustering-graph-neural-networks</link>
      <description>Executive Summary: Deploying Graph Neural Networks to out-perform classical density-based clustering in Single-Molecule Localization Microscopy.</description>
      <pubDate>Thu, 22 May 2025 12:00:00 GMT</pubDate>
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      <category>Medtech</category>
      <author>IFLAI Research</author>
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      <title>Analyzing Motion Changes in Single-Particle Experiments</title>
      <link>https://iflai.com/insights/analyzing-motion-changes-single-particle</link>
      <description>The story behind our Nature Communications paper on why detecting sudden state changes in diffusing nanoparticles is so computationally demanding.</description>
      <pubDate>Thu, 10 Apr 2025 12:00:00 GMT</pubDate>
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      <category>Medtech</category>
      <author>IFLAI Research</author>
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      <title>Deep Dive into AI: Equipping Chalmers Faculty for the AI Era</title>
      <link>https://iflai.com/insights/deep-dive-into-ai-chalmers</link>
      <description>A successful kick-off to the &apos;Deep Dive into AI&apos; course at Chalmers University of Technology, an initiative designed to integrate deep learning across scientific research domains.</description>
      <pubDate>Sat, 15 Mar 2025 12:00:00 GMT</pubDate>
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      <category>Education</category>
      <author>IFLAI Research</author>
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      <title>Accelerating Plasmonic Hydrogen Sensors via Transformer-Based Deep Learning</title>
      <link>https://iflai.com/insights/accelerating-plasmonic-hydrogen-sensors</link>
      <description>A technical breakdown of how we applied Vision Transformers to temporal optical data to vastly accelerate hydrogen leak detection.</description>
      <pubDate>Sat, 01 Mar 2025 12:00:00 GMT</pubDate>
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      <category>Manufacturing</category>
      <author>IFLAI Research</author>
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      <title>Online Mass Spectrometry of Single Catalyst Nanoparticles via Deep Learning</title>
      <link>https://iflai.com/insights/online-mass-spectrometry-catalyst</link>
      <description>A case study on achieving real-time mass spectrometry at the single-nanoparticle level using specialized neural denoising.</description>
      <pubDate>Sat, 15 Feb 2025 12:00:00 GMT</pubDate>
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      <category>Chemistry</category>
      <author>IFLAI Research</author>
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      <title>Sustainability Circle: Great AI Doesn&apos;t Need Great Data</title>
      <link>https://iflai.com/insights/sustainability-circle-webinar</link>
      <description>A presentation by Mattias Goksör and Henrik Klein Moberg on how data-efficient AI is paving the way for a sustainable, cost-effective industrial future.</description>
      <pubDate>Thu, 06 Feb 2025 12:00:00 GMT</pubDate>
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      <category>Manufacturing</category>
      <author>IFLAI Research</author>
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      <title>Demystifying AI: The Deep Learning Crash Course</title>
      <link>https://iflai.com/insights/deep-learning-crash-course</link>
      <description>A note from the authors on why we wrote a hands-on introduction to modern deep learning for the scientific community.</description>
      <pubDate>Fri, 10 Jan 2025 12:00:00 GMT</pubDate>
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      <category>Education</category>
      <author>IFLAI Research</author>
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    <item>
      <title>Pushing the Boundaries of Single Molecule Microscopy through Deep Learning</title>
      <link>https://iflai.com/insights/unifying-deep-learning-microscopy-sensing</link>
      <description>Reviewing the 2024 PhD Thesis that unified deep learning approaches across single-molecule microscopy, optical sensing, and mass spectrometry.</description>
      <pubDate>Fri, 15 Nov 2024 12:00:00 GMT</pubDate>
      <guid isPermaLink="true">https://iflai.com/insights/unifying-deep-learning-microscopy-sensing</guid>
      <category>Research</category>
      <author>IFLAI Research</author>
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      <title>Materials for Tomorrow 2024: The Future of AI in Material Science</title>
      <link>https://iflai.com/insights/materials-for-tomorrow-2024</link>
      <description>Insights from our presentation at the Materials for Tomorrow Conference at Chalmers University of Technology, exploring the intersection of deep learning and advanced material analysis.</description>
      <pubDate>Thu, 31 Oct 2024 12:00:00 GMT</pubDate>
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      <category>Research</category>
      <author>IFLAI Research</author>
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    <item>
      <title>IFLAI at Gothenburg Tech Week 2024</title>
      <link>https://iflai.com/insights/gothenburg-tech-week-2024</link>
      <description>Connecting with the ecosystem and sharing our vision for sustainable, data-efficient AI at one of Europe&apos;s most vibrant tech events.</description>
      <pubDate>Fri, 04 Oct 2024 12:00:00 GMT</pubDate>
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      <category>Events</category>
      <author>IFLAI Team</author>
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      <title>Annotation-Free Deep Learning for Quantitative Microscopy</title>
      <link>https://iflai.com/insights/annotation-free-deep-learning</link>
      <description>Exploring the 2024 PhD Thesis that formalized the transition from human-annotated datasets to self-supervised learning in computational biology.</description>
      <pubDate>Thu, 05 Sep 2024 12:00:00 GMT</pubDate>
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      <category>Research</category>
      <author>IFLAI Research</author>
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      <title>Cross-Modality Transformations in Biological Microscopy</title>
      <link>https://iflai.com/insights/cross-modality-transformations-microscopy</link>
      <description>How generative deep learning models allow researchers to synthetically translate brightfield images into fluorescent modalities, saving time and reagents.</description>
      <pubDate>Thu, 20 Jun 2024 12:00:00 GMT</pubDate>
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      <category>Medtech</category>
      <author>IFLAI Research</author>
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      <title>Achieving 10X Sensitivity in Nanoplasmonic Sensors</title>
      <link>https://iflai.com/insights/10x-sensitivity-nanoplasmonic-sensors</link>
      <description>How neural networks drastically amplify the sensitivity of optical hydrogen sensors, proving that software can outscale hardware improvements.</description>
      <pubDate>Thu, 15 Feb 2024 12:00:00 GMT</pubDate>
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      <category>Manufacturing</category>
      <author>IFLAI Research</author>
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      <title>Geometric Deep Learning Reveals Spatiotemporal Features of Motion</title>
      <link>https://iflai.com/insights/geometric-deep-learning-microscopic-motion</link>
      <description>How Geometric Deep Learning unlocks a fundamentally new understanding of anomalous diffusion and microscopic motion in complex environments.</description>
      <pubDate>Sun, 15 Oct 2023 12:00:00 GMT</pubDate>
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      <category>Medtech</category>
      <author>IFLAI Research</author>
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      <title>Eliminating the Annotation Bottleneck: Single-Shot Self-Supervised Object Detection</title>
      <link>https://iflai.com/insights/single-shot-self-supervised-detection</link>
      <description>An inside look into our 2022 Nature Communications paper, formatted as a Q&amp;A on why we abandoned human annotation in microscopy.</description>
      <pubDate>Sun, 20 Nov 2022 12:00:00 GMT</pubDate>
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      <category>Medtech</category>
      <author>IFLAI Research</author>
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      <title>IFLAI at ETH Zurich: Advanced Machine Learning for Microscopy</title>
      <link>https://iflai.com/insights/eth-zurich-machine-learning-course</link>
      <description>Teaching the next generation of researchers how to apply deep learning to microscopy data at the MaP Doctoral School, ETH Zurich.</description>
      <pubDate>Mon, 10 Oct 2022 12:00:00 GMT</pubDate>
      <guid isPermaLink="true">https://iflai.com/insights/eth-zurich-machine-learning-course</guid>
      <category>Education</category>
      <author>IFLAI Team</author>
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      <title>Label-Free Nanofluidic Scattering Microscopy</title>
      <link>https://iflai.com/insights/label-free-nanofluidic-scattering</link>
      <description>Our 2022 Nature Methods paper that demonstrated how optical scattering can be used to measure the mass and size of single diffusing molecules without labels.</description>
      <pubDate>Sun, 10 Apr 2022 12:00:00 GMT</pubDate>
      <guid isPermaLink="true">https://iflai.com/insights/label-free-nanofluidic-scattering</guid>
      <category>Medtech</category>
      <author>IFLAI Research</author>
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      <title>Extracting Quantitative Data from Bright-Field Cells via Deep Learning</title>
      <link>https://iflai.com/insights/extracting-quantitative-data-brightfield</link>
      <description>Reviewing our 2021 Biophysical Reviews paper on transforming qualitative bright-field microscopy into strict, quantitative biological data.</description>
      <pubDate>Thu, 05 Aug 2021 12:00:00 GMT</pubDate>
      <guid isPermaLink="true">https://iflai.com/insights/extracting-quantitative-data-brightfield</guid>
      <category>Medtech</category>
      <author>IFLAI Research</author>
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    <item>
      <title>Quantitative Digital Microscopy with Deep Learning</title>
      <link>https://iflai.com/insights/quantitative-digital-microscopy</link>
      <description>Our comprehensive 2021 Applied Physics Reviews paper outlining the transition from classical image processing to deep learning in digital microscopy.</description>
      <pubDate>Wed, 10 Feb 2021 12:00:00 GMT</pubDate>
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      <category>Research</category>
      <author>IFLAI Research</author>
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