UK AI Copyright Pivot Risks Creator Rights for Tech Gains - impactpolicies.org
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“Existential risk” – Why scientists are racing to define consciousness
Scientists warn that rapid advances in AI and neurotechnology are outpacing our understanding of consciousness, creating serious ethical risks. New research argues that developing scientific tests for awareness could transform medicine, animal welfare, law, and AI development. But identifying consciousness in machines, brain organoids, or patients could also force society to rethink responsibility, rights, and moral boundaries. The question of what it means to be conscious has never been more urgent—or more unsettling.
Dutch watchdog urges swift implementation of AI rules to protect fundamental rights - Anadolu Ajansı
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Pedro Sánchez: "Technologies like AI should expand human freedom, democracy, and rights, not undermine them" - La Moncloa
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Top 10 AI Prompts and Use Cases and in the Government Industry in Tanzania - nucamp.co
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Stochastic Dimension Implicit Functional Projections for Exact Integral Conservation in High-Dimensional PINNs
arXiv:2603.29237v1 Announce Type: new Abstract: Enforcing exact macroscopic conservation laws, such as mass and energy, in neural partial differential equation (PDE) solvers is computationally challenging in high dimensions. Traditional discrete projections rely on deterministic quadrature that scales poorly and restricts mesh-free formulations like PINNs. Furthermore, high-order operators incur heavy memory overhead, and generic optimization often lacks convergence guarantees for non-convex conservation manifolds. To address this, we propose the Stochastic Dimension Implicit Functional Projection (SDIFP) framework. Instead of projecting discrete vectors, SDIFP applies a global affine transformation to the continuous network output. This yields closed-form solutions for integral constraint

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