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Achieving AI Readiness in Scientific Research Leveraging ZONTAL for Data Standardization and Sustainability

Achieving AI Readiness in Scientific Research: Leveraging ZONTAL for Data Standardization and Sustainability

ZONTAL Future-Proof Your Scientific Data

Unlock the Power of your Data ZONTAL’s New Analytics Offerings

Unlock the Power of Your Data: ZONTAL’s New Analytics Offerings

Digital Lab

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Data Centricity: Key for the Successful Digital Journey Towards a Digital Lab

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Bayesian Flow Networks: A Paradigm Shift in Generative Modeling

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Bayesian Flow Networks: A Paradigm Shift in Generative Modeling

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ReNet Penrose Triangles

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RETNET: Challenging the Inference Cost of Transformer Based Language Models

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Meta-Transformer 12 Modalities

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Beyond Traditional AI: Embracing Multimodal Challenges with Meta-Transformer

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Child's hand holding a molecular structure model with blue and gray atoms, set against a dark background.

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Disconnection-Aware Retrosynthesis

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Close-up view of the Atomium structure in Brussels, showcasing its interconnected spheres and steel beams against a cloudy sky.

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DiffDock – A Diffusion Model for Molecular Docking

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Diagram showing the process of RF Diffusion, illustrating the transformation of a scattered molecular structure into a folded protein.

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RFDiffusion – Leveraging the Power of DDPMs to Generate Protein Sequences and Structures

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Scientist wearing full protective gear and mask, using a pipette to transfer a liquid sample in a laboratory setting

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MILCDock – Machine Learning Consensus Docking

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Scientist wearing protective gloves and mask, using a dropper to handle a chemical sample in a laboratory setting.

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Reality or Illusion – What can AI do for Drug Discovery?

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