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Hakilix Labs researches autonomous risk intelligence and physical AI for care, industry and critical infrastructure.

Hakilix Labs — Autonomous Risk Intelligence & Physical AI
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AI-Defined Fabs: NVIDIA Expands Tools for Chip Simulation and Inspection
Mercedes-Benz and NVIDIA Extend Their Automated Driving Partnership
RTX Spark PCs Bring Local AI Agents to Windows Laptops
Editorial: AI Agent Security Must Hold When the Model Makes a Mistake
Editorial: Physical AI Safety Needs Evidence Across the Whole System
Isaac ROS 5.0 Brings Agent-Assisted Development to Robotics
Qualcomm’s PickNik Agreement Puts Open Motion Planning in Focus
Cleaning Robots Move Into Real Facilities: What Operators Should Measure
VLA Foundation Models Meet Physical Robotics: Scaling Multi-Modal Sensorimotor Policies with Sub-10ms Reflex Arcs
Future Tech Horizon 2026–2030: Sub-Nanometer Neuromorphic Silicon and the End of Hyperscale Cloud Latency
Editorial: The Trillion-Dollar Latency Wall—Why Conversational LLMs Fail in the Physical World Without Spatial Ground Truth
The 10-Millisecond Frontier: Why Edge AI Inference is Non-Negotiable for Autonomous Physical Workcells
Next-Gen Neuromorphic Vision: How Event-Based Spatial Sensors are Displacing Classical RGB Frames
AI Safety Directives 2026: The Global Shift to Continuous Cryptographic Attestation for Autonomous Edge Agents
Predictive Micro-Gait Telemetry: Clinical AI Trials Validate 94.2% Pre-Fall Warning in Geriatric Care
Editorial: Sovereign AI and the Imperative for Zero-Cloud Resilience in Critical Physical Infrastructure
Silicon Breakthrough: Evaluating 2nm Neuromorphic Co-Processors for Zero-Cloud High-Hazard Mining Fleets