InstaDeep
@instadeepai
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InstaDeep offers a host of Enterprise AI products, ranging from GPU-accelerated insights to self-learning decision making systems.
Joined September 2016
🎙️ The latest episode of Let’s Talk Research is now live! This month we explore the rise of machine-learned interatomic potentials (MLIPs) with our guests Senior Research Engineer Christoph Brunken and Staff Research Scientist Jules Tilly.
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📍 Location: Microsoft Deutschland GmbH, Munich 📅 Date: 9-10 December, 2025 Seats are limited - secure your spot today! 👉 https://t.co/Un9XwmJhnm
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TRANSFER PORTAL WR 4️⃣ years of eligibility (3 GP Redshirt Freshman) 6'1" 193lbs | 4.49 40-Yard Dash (@ UPenn Camp) 10.62 100m | 23.1 MPH | 22ft+ LJ | 37.7 VJ | Football Captain | Track & Field Captain | Anchored School Record 4x100 Relay Attached: - Senior HS Film +
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📢 Day 2 | December 10: Molecular Discovery with Learned Potentials Detailing how Machine Learning Interatomic Potentials (MLIP) accelerate molecular discovery through efficient training and high-speed simulation. ⚛️
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Don't miss our two dedicated talks presented by Waqaas Rehman & team: ⬇️ 📢 Day 1 | December 9: Developing The Future of Industry with AI Industrial optimization using Reinforcement Learning for complex manufacturing challenges. 🏭
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We're attending the @Microsoft Industrial Transformation Summit in Munich! 🇩🇪 Join us to explore how our AI tech deployed on Azure High Performance Compute accelerates transformation in the manufacturing, automotive, mobility, chemical, pharmaceutical and process industries. 🚄
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Check it out 👇 🎙️ Spotify → https://t.co/UP5BpY2lyq 👀 YouTube → https://t.co/2DQQlPidKo 🍎 Apple Podcasts → https://t.co/4koPUce68E ⚛️ mlip library →
podcasts.apple.com
Podcast Episode · Let's Talk Research · 12/11/2025 · 36m
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Don’t miss Episode 3 of Let’s Talk Research, where we unpack the future of molecular simulation through MLIP models! 🎧 🧵⬇️
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@NeurIPSConf @RefiloeShabe Discover more: 📑 Read the paper: https://t.co/Yaz1dnSUIE 💻 Read the blog: https://t.co/D0wTmKFpt8 🚀 Access the module on GitHub:
arxiv.org
Routing Problems are central to many real-world applications, yet remain challenging due to their (NP-)hard nature. Amongst existing approaches, heuristics often offer the best trade-off between...
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This year's @NeurIPSConf is nearly here, and we’re thrilled to be contributing to this year’s lineup with our Spotlight paper on MEMENTO. Lead author @RefiloeShabe explains how incorporating memory can help tackle more challenging routing problems, below. 👇
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Tune in below: 🎧 Democratising Access to GeoAI with InstaGeo Ibrahim Salihu Yusuf discusses how InstaGeo simplifies complex GeoAI for broader use. 👉 https://t.co/xOi96M3nKh 🎧 InstaGeo Platform Demo See InstaGeo in action with Iffanice Houndayi 👉
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We're excited to join @robmarkcole as guests on the Satellite image deep learning podcast to share the story behind InstaGeo, our open-source geospatial Machine Learning framework built to make multispectral satellite data easy to use for real-world applications. 🧵⬇️
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📝 Read the paper: https://t.co/lcc6eIGQSh ⏱️ See the MLIPAudit leaderboard: https://t.co/rvmqxhzE0n 🧱Available on @pypi: (pip install mlipaudit) https://t.co/dM7uWcBL5j 🖥️ Visit our GitHub:
pypi.org
Library and CLI tool for benchmarking ML Interatomic Potentials
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Check which models are expected to perform best for your downstream task, and why. Discover MLIPAudit today!
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👨🏾⚖️ Clarence Thomas pokes holes in New Jersey AG’s pro-abortion case The New Jersey AG's pretext for harassing a pregnancy resource center was the silly argument that donors to the center might feel misled about their pro-life views. Justice Thomas exposed the charade.
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MLIPAudit changes that. ✅ Tests across molecules, liquids and biomolecules ✅ Evaluates accuracy, stability and scaling ✅ Open leaderboards for fair comparison
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🚀 Introducing MLIPAudit, InstaDeep’s benchmark suite for Machine Learning Interatomic Potentials (MLIPs). Trained on vast amounts of quantum data, MLIPs deliver near-quantum accuracy at classical speeds. But with so many models emerging, knowing which to trust is challenging…
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🎙️New Podcast & YouTube: Democratising access to GeoAI with InstaGeo with Ibrahim Salihu Yusuf
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We’re pleased to announce that our co-founder and CEO @kbeguir will be among the 15 leaders joining the Africa AI Council, to help deliver recommendations that will propel Africa toward a future where AI is accessible to all, responsibly deployed, and truly benefits Africans. 🌍
Smart Africa Board Unveils the inaugural Africa AI Council to Lead the Continent’s AI Transformation: https://t.co/xbKNrgr5oq
#TAS2025 #SmartAfrica #AIforAfrica #Guinea
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@NeurIPSConf @ChalumeauFelix Explore the research: 📑 Read the paper: https://t.co/dSZdUISBrB 💻 Read the blog: https://t.co/Apg8CNvsSi 🧠 Access the code on GitHub:
arxiv.org
Routing Problems are central to many real-world applications, yet remain challenging due to their (NP-)hard nature. Amongst existing approaches, heuristics often offer the best trade-off between...
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@NeurIPSConf @ChalumeauFelix 📊Validated on the Travelling Salesman and Capacitated Vehicle Routing Problems, MEMENTO learns an update rule that outperforms standard policy-gradient methods and scales to instances with 500 nodes, where backpropagation becomes prohibitively costly.
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🚨PSA Lawmakers: Please do NOT support @JakeAuch's "Parents Over Platforms." It's a @Google influenced bill masquerading as a child safety bill. Dangerous! Vote for the much stronger App Store Accountability Act. @BasedMikeLee @SenMikeLee @RepJames @RepGusBilirakis @JonHaidt
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@NeurIPSConf @ChalumeauFelix Instead of starting from scratch on every attempt, MEMENTO stores, retrieves, and reuses information to guide better decisions during inference, achieving state-of-the-art results on 11 of 12 benchmark tasks.
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@NeurIPSConf @ChalumeauFelix MEMENTO gives AI a memory, enabling solvers to adapt their search better based on past attempts.
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