AI & ML Research 3 Days

Last updated: July 26, 2026, 8:30 PM ET

LLM Agents and Memory

Researchers explored by giving them browser capabilities using the OpenAI Agents SDK and Playwright MCP. To address limitations in LLM memory, a was developed, drawing inspiration from the Ebbinghaus forgetting curve to prioritize important information over recency for AI agent memory. Prompting Claude Code was also detailed for efficiency.

Vector Search and Data Processing

Discussions around vector search highlighted solutions for ANN indexes, considering the rising cost of RAM and trade-offs between latency and storage with indexing methods like HNSW, SPANN, and Disk ANN. An approach to in the cloud was presented, focusing on automating PII extraction from emails using AWS.

AI for Simulation and Predictions

A novel approach to fluid simulation was described, where a without solving traditional fluid equations, utilizing the Lattice Boltzmann Method implemented in C++. In the realm of tabular data, an introduction to explained their capability to predict missing spreadsheet columns zero-shot, surpassing tuned gradient-boosted trees on the Tab Arena benchmark.

Medical Technology and Organ Transplants

Advances in medical technology included efforts to to address donor organ shortages. A breakthrough in organ transplantation was noted, involving the successful transplantation of supercooled kidneys into pigs, potentially extending organ viability.

LLM Architectures for Enterprise

An exploration into proposed an LLM cascade architecture, moving from cheaper local models to more powerful hosted flagship models, detailing strategies for cost optimization and validation loops.