IEEE

SPOT: An Active Learning Algorithm for Efficient Deep Neural Network Training

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
University of Geneva

Behrooz Razeghi

Dr. Behrooz Razeghi is a postdoctoral researcher in the Biometric Security & Privacy group at the Idiap Research Institute.
CERN Courier

A thousand anomalies hiding in plain sight

Systematic human inspection of the millions of source cutouts in the Hubble Legacy Archive is impossible – but artificial ...

DeepSeek Insider Reveals Self-Improving AI Agents Are Almost Here

DeepSeek compares China and US AI lab conditions; standardized schooling vs interest-driven training shapes early talent development.
IEEE

Integration of Deep Learning and Compressive Sensing Algorithm for Beamspace Channel Estimation in mmWave Massive MIMO Systems

Abstract: In the realm of millimeter wave (mmWave) communication, massive multiple-input-multiple-output (mMIMO) systems have grabbed greater attention due to advancements in the 5G cellular networks.
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...