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Through an experiment involving YOLO12, YOLO26, and RF-DETR, JetBrains shows that models pretrained on COCO may approach zero when transferred directly to specialized domains, while fine-tuning improves results to varying degrees. The experiment reveals that the similarity between the target domain and the training data, along with localization accuracy and inference time, matters more than relying on a model’s classification as the newest or best.
JetBrains confirmed that attackers exploited the critical vulnerability CVE-2026-63077 to gain unauthorized access to the Cadence environment, exposing user data, credentials, and files associated with cloud execution. The company is asking users to revoke all secrets and credentials that may have been used with the service and review systems connected to it.