Sophelio Launches the Fusion Equilibrium Challenge for the NeurIPS 2026 Competition Track
An open ML competition at NeurIPS 2026: infer plasma equilibrium from real DIII-D and MAST data. No fusion background required.
Announcements
Find Sophelio’s announcements in AI and ML fields: Press releases, partnerships, collaboration, and major project updates.
Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data
As Seen In Sophelio, an award-winning applied AI and machine-learning company, today announced the launch of Data Fusion Labeler (dFL), a data-centric platform designed to help teams organize, label, and prepare complex data streams for machine learning and advanced analysis. The launch follows Sophelio’s recent name transition and represents a major step in the company’s
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A New Identity, A Clearer Direction: Sophelio
As an award-winning company working at the intersection of AI, machine learning, and high-stakes scientific data, Sophelio builds signal-first, provenance-driven systems for environments where reproducibility, interpretability, and operational trust are non-negotiable. As Seen In Over the past several years, Sophelio has developed multiple production-grade platforms—including the Archaieus Engine, the Systems Integration and Regression (SIR) Suite,
SMARTS Advancement with UCSD, Sophelio, GA, MIT & Partners
How SMARTS (Surrogate Models for Accurate and Rapid Transport Solutions) is leveraging cross-institutional expertise to innovate in fusion energy
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Sophelio Joins Forces with General Atomics, UCSD, and HPE to Develop Fusion Data Platform
Find out how Sophelio’s AI/ML expertise will contribute to a multi-disciplinary Fusion Data Platform, led by General Atomics.”