A research team from Sichuan University has proposed a lightweight and robust entropy-regularized unsupervised domain adaptation framework (LRE-UDAF ...
Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...
This Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...
Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...
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