An AI engineering intern shared five lessons learned during the first seven weeks of an internship, including the importance of monitoring both training and validation loss to catch overfitting, and t…
IREE, an open-source compiler from the IREE project, now compiles machine learning models to native RISC-V CPU code with support for the RISC-V Vector extension (RVV), hand-written microkernels, and d…
A new arXiv preprint (2608.00246v1) proposes a retain-aware localization method for machine unlearning that considers parameter importance to both forgotten and retained data, reducing collateral dama…
Researchers propose a decoupled transfer learning strategy that adapts normalization layers and precomputes features once, reducing training overhead without end-to-end backpropagation. Evaluated on f…
Researchers introduced LINet, a multi-stream neural network for RGB-D scene classification that outperforms existing methods through a continuous integration strategy. LINet uses a novel Linear Integr…
A new study comparing Vision Transformers and CNNs for face presentation attack detection found that pretrained Vision Transformers reduce demographic bias and improve accuracy. The DeiT-S model achie…