Tag: Homomorphic Encryption
AffectLog Platform: AI Compliance and Privacy by Design
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AffectLog’s platform solves a core tension in regulated AI: organisations need the insight of data‑driven models without breaching privacy, compromising trust or violating complex laws. Across sectors—from healthcare and finance to public agencies and education—the platform’s modular services provide secure orchestration, automated compliance, self‑sovereign governance, dynamic risk management, actionable intelligence…
Healthcare & Life Sciences – Federated, Regulation-Ready AI
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Deploy diagnostic, triage, and research models inside hospital networks – no raw PHI ever leaves. AL360° delivers automated EU AI Act high-risk checks, MDR alignment, and immutable audit trails while orchestrating federated learning across sites. Faster approvals, lower breach risk, zero data egress. AI Opportunities and Compliance Challenges in Healthcare…
AL360°: Redefining Trust and Access in the Private Data Economy
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In a data-centric world marked by surging digital footprints and ever-tightening regulatory frameworks, enterprises, researchers, and policymakers face a critical dilemma: how to responsibly access and utilise sensitive, private data without breaching trust, security, or legal boundaries. This challenge is particularly pronounced in domains like healthcare, financial services, education, and…
PersonaCore: A Federated Neuromorphic Edge AI Platform for Privacy-Preserving Affective Digital Twins
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Abstract Affective Digital Twins (ADT) are virtual replicas of human emotional and cognitive states, enabling simulation and personalized AI interactions in human-centric applications. This paper presents AffectLog PersonaCore, a technical framework for implementing ADTs via a federated, privacy-preserving, neuromorphic computing platform. We detail how PersonaCore innovates on-device federated neuromorphic processing…
