AI & ML Research 3 Days

Last updated: July 27, 2026, 5:30 AM ET

LLM Agent Development and Optimization

Developers can Claude for code by employing specific techniques. To grant an LLM agent browser capabilities, the OpenAI Agents SDK and Playwright MCP can be utilized to build a browser-use agent. Enhancing AI agent memory, particularly when context windows tend to forget crucial information, can be achieved by implementing a usage-reinforced decay engine based on the Ebbinghaus forgetting curve. For Retrieval Augmented Generation (RAG) systems, a loop engineering approach can create an LLM cascade, moving from inexpensive local models up to a hosted flagship, which can be optimized for both cost and validation.

Data Processing and Storage Solutions

Optimizing vector becomes critical when RAM costs rise, requiring a balance between on-disk and in-memory Approximate Nearest Neighbor (ANN) indexes like HNSW, SPANN, and Disk ANN. An intelligent document processing (IDP) system can be built and run in the cloud to automate the classification and extraction of Personally Identifiable Information (PII) from emails using AWS services. Foundation models designed for tabular data, or "Tabular LLMs," can predict missing columns in spreadsheets zero-shot, outperforming fully tuned gradient-boosted trees on benchmarks like Tab Arena for spreadsheet prediction.

Novel Simulation and Biological Engineering

A fluid simulator can generate complex phenomena like the Kármán vortex street without directly solving fluid equations, leveraging methods such as the Lattice Boltzmann Method, implemented in C++ for performance. In biological engineering, efforts are underway to keep organs alive outside the body for extended periods, addressing the critical shortage of donor organs which is largely due to the limited survival time of organs post-explantation to preserve organs for transplant. This field has seen breakthroughs, including the successful transplantation of supercooled kidneys into pigs.