DeepSeek-R1 Implementation Details and Architectural Analysis DeepSeek-R1 achieves human-level reasoning on complex math and coding tasks through pure reinforcement learning without traditional supervised training.
A Unified Transformer-Based Approach to Multi-View, Spatiotemporal, and Linguistic Representations for Autonomous Driving Modern autonomous driving perception faces extreme data volume and semantic depth complexity. Such systems must integrate multi-camera image streams into a stable three-dimensional world model, align observations over time to handle dynamic scenarios.
