Weekly Research Digest 2026-W20

Summary

This digest captures one high-signal weekly item for each track: AI, LLM, LLM4Rec, AI4EDA analog circuit design, and AI4S protein/biology.

Picks

TrackPickSourceDateScoreShort Core
AIcrewAIInc/crewAIgithub2026-05-16T10:13:59Z67.5Framework for orchestrating role-playing, autonomous AI agents.
LLMNVIDIA/TensorRT-LLMgithub2026-05-16T11:40:29Z78.7TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
LLM4Recgorse-io/gorsegithub2026-05-15T14:49:09Z66.97AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
AI4EDA analog circuit designAnalogCoder: Analog Circuit Design via Training-Free Code Generationsemantic-scholar2024-05-2325Analog circuit design is a significant task in modern chip technology, focusing on selecting component types, connectivity, and parameters to ensure circuit functionality.
AI4S protein/biologywestlake-repl/Evollagithub2026-04-13T03:14:01Z25.56Evolla: A frontier protein-language generative model designed to decode the molecular language of proteins.

Signal Chart

xychart-beta
  title "2026-W20 Research Pick Signal Scores"
  x-axis ["AI", "LLM", "LLM4Rec", "AI4EDA", "AI4S"]
  y-axis "score" 0 --> 100
  bar [67.5, 78.7, 66.97, 25.0, 25.56]

Agent Memory

  • AI: Inspect repo structure, README tasks, evaluation scripts, and issue/release patterns before borrowing mechanisms.
  • LLM: Inspect repo structure, README tasks, evaluation scripts, and issue/release patterns before borrowing mechanisms.
  • LLM4Rec: Inspect repo structure, README tasks, evaluation scripts, and issue/release patterns before borrowing mechanisms.
  • AI4EDA analog circuit design: Extract problem framing, method components, evaluation axes, limitations, and candidate baselines; do not copy prose. This is a fallback pick because live sources did not return a domain-qualified fresh item.
  • AI4S protein/biology: Inspect repo structure, README tasks, evaluation scripts, and issue/release patterns before borrowing mechanisms.

Sources

  • EXTRACTED: Abstracts and metadata come from arXiv, Semantic Scholar, GitHub, and configured fallback public links where available.
  • EXTRACTED: Raw evidence and API errors are stored under raw/weekly-research-digests/.

Counterpoints and Gaps

  • AMBIGUOUS: API rate limits and search ranking can bias weekly picks toward repos or older fallback papers.
  • INFERRED: Treat each pick as an inspiration lead for agent recall, not as a final survey or citation-quality literature review.

Evidence Notes

  • EXTRACTED: Abstracts and metadata come from public scholarly/project APIs where available.
  • INFERRED: Signal scores combine source quality, topical match, recency/update signal, citations/stars when available, and reusable idea density.
  • Do not treat this digest as exhaustive literature review; use it as a weekly inspiration and routing layer.