-
🔬인과 모델은 인과 데이터가 필요하다 - 약물 발견을 위한 Xaira의 X-Cell 모델
🔬Causal Models Need Causal Data - Xaira’s X-Cell model for Drug Discovery (Bo Wang & Ci Chu, Chief Discovery Officer & Chief AI Scientist)
Xaira Therapeutics is all in on data generation for model building! We talk with Bo Wang and Ci Chu about how and why.
-
🔬 가장 멋진 확산 연구는 LLM에 없다 - Genesis Molecular AI의 Evan Feinberg & Sergey Edunov
🔬 The Coolest Diffusion Research Isn't in LLMs — Evan Feinberg & Sergey Edunov, Genesis Molecular AI
Why the Llama lead left Meta for drug discovery, PEARL's zero-shot OpenBind win, and what becomes possible when co-folding finally crosses the accuracy threshold.
-
반자율형 AI 화학자가 의약화학의 어려운 반응을 개선
A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry
OpenAI and Molecule.one show how a near-autonomous AI chemist using GPT-5.4 improved a key drug-making reaction, advancing medicinal chemistry research.
-
GPT-Rosalind의 새로운 기능 소개 | OpenAI
Introducing new capabilities to GPT-Rosalind | OpenAI
GPT-Rosalind advances life sciences research with enhanced biological reasoning, medicinal chemistry expertise, genomics analysis, and experimental workflow capabilities.