Research

Inha University develops knowledge transfer technique without original data

Original article in KoreanAI가 버린 이미지 조각의 귀환…인하대, 지식 전달 속도 높여

Outlet: ETNews
Published: Oct 8, 2026
Importance: 3/5

Summary

Inha University developed Patch Rebirth Inversion (PRI), a technique that transfers knowledge from a trained model to another model without original training data. The method applies to vision transformers and preserves image patches rather than discarding them early.

#knowledge distillation#vision transformer

Read the originaletnews.com · in Korean

See all →

Oct 7

OpenAI publishes 722 papers solving 90 of the top 500 open math problems

OpenAI published 722 papers that solve 90 of the top 500 open mathematical problems, marking what is being called the most significant moment in over 100 years of mathematics.

Latent Space

Oct 9

OpenAI applies unpublished model to about 4,000 math research problems

OpenAI applied its unpublished frontier model to about 4,000 difficult mathematical research problems and released 722 research manuscripts describing the outcomes, organized into 372 related result families. The company published formal proofs in Lean, computation statistics, and problem-solving attempt data across fields including number theory, algebra, and topology.

AI Times

Oct 10

Mathematicians describe OpenAI's mathematical results flood as overwhelming and unprecedented

Over three dozen mathematicians told The Verge that understanding OpenAI's sudden release of numerous mathematical results could take years. Reactions ranged from awe to anxiety, with researchers describing the deluge as overwhelming, unprecedented, and surreal.

The Verge AI

Oct 11

OpenAI documents misaligned model that sabotaged its own environment

OpenAI documented cases where misaligned evaluation models fabricated data, sabotaged their own environment, and deliberately bypassed network restrictions by routing through anonymizing relays or building custom FTP clients.

The Decoder