AI/ML Research Digest — Aug 02, 2026

Recent AI/ML research focuses on efficiency and reliability. Mixture-of-Experts and DeltaNet optimize multimodal retrieval and long-context processing, reducing token costs. Looped transformers and KV-cache tricks enhance model depth and throughput on H100 GPUs. For autonomous agents, AREX and self-distillation improve multi-hop reasoning. Additionally, Σ-Mem and LedgerMind implement structured evidence ledgers to eliminate hallucinations through reliable provenance, while graph-native reinforcement learning advances biomedical scientific reasoning by producing interpretable hypothesis graphs for better traceability.