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Pulse · unite.ai

unite.ai · Nov 12

4Minds Raises $15M Series A at $500M Valuation to Advance Its AI Platform

Dallas-based 4Minds announced on November 12, 2026 that it raised $15 million in a Series A at a $500 million post-money valuation to advance its contextual AI platform and reach more enterprises, including highly

Pulse · news.lavx.hu

news.lavx.hu · Nov 12

Linux kernel flaws, spyware, and AI-driven attacks dominate a crowded threat landscape

Security teams faced a mix of mass exploitation attempts, espionage campaigns, and major takedowns this week, from 59 Linux kernel bugs to new backdoors, browser spyware, and AI-assisted phishing. The incidents show how attackers combine stolen access, trusted tools, and automation to stay inside networks longer.

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Top picks this weekarXiv

arXiv

Nov 10

Medical Image Segmentation: Foundation Model Adaptation versus Task-Specific Training

Foundation models pretrained on large natural-image collections are increasingly adapted for medical image segmentation, in the expectation that they will replace models trained for each task. Most comparisons, however, use data from the training distribution and a single task-specific baseline whose configuration is rarely justified, and therefore provide limited evidence of performance at new clinical sites. It also remains unclear how much of a foundation model must be adapted, and what determines this. We adapted a foundation model, DINOv2, with strategies ranging from tuning only its bias terms to full fine-tuning, and compared it with U-Nets and ResU-Nets trained from scratch. Experiments covered colonoscopy, breast ultrasound and dermoscopy, with testing on held-out data from the training source and on independent datasets from other institutions. The adapted foundation model generalised better on every external dataset. Within the training distribution, the task-specific models remained competitive when training data were abundant, and delineated boundaries more precisely, while the foundation model more often missed small lesions. Only a small fraction of the foundation…