AI isn’t the problem — rushing it into the wrong tasks without the right data, expertise or guardrails is what makes projects fall apart.
Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...
Abstract: Automatic modulation classification (AMC) is one of the fundamental technologies in adaptive communication systems, supporting various tasks such as spectrum surveillance and cognitive radio ...
Tel Aviv, Israel, Jan. 16, 2026 (GLOBE NEWSWIRE) -- Viewbix Inc. (Nasdaq: VBIX) (“Viewbix” or the “Company”), an advanced technologies company, today ...
The implementation is intentionally explicit and educational, avoiding high-level abstractions where possible. . ├── config.py # Central configuration file defining model hyperparameters, training ...
NVIDIA introduces Riva TTS models enhancing multilingual speech synthesis and voice cloning, with applications in AI agents, digital humans, and more, featuring advanced architecture and preference ...
I want to train pretrain a sentence transformer using TSDAE. We have previously used all-MiniLM-L6-v2 as a checkpoint where we finetuned with MultipleNegativeRankingLoss with the main downstream task ...
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