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DNC-IMM: Early Lane-Change Intention Recognition via Neural Calibration Based on Driving Context Information

Early recognition of lane-change intention is essential for proactive decision-making in autonomous driving and advanced driver assistance systems. This paper proposes a Dual Neural-Calibrated Interacting Multiple Model (DNC-IMM) that improves adaptability to driving context while preserving the probabilistic structure and interpretability of a conventional IMM. The proposed method encodes…

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HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure

HashiCorp is positioning HCP Terraform as the governance and control plane for a new generation of AI-driven infrastructure, arguing that the rapid adoption of coding agents is shifting the biggest…

  • HashiCorp positions HCP Terraform as AI infrastructure control plane
  • AI agents autonomously author Terraform, trigger runs
  • HCP Terraform introduces policy, identity, isolation controls

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