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Mamba Explained

The State Space Model taking on Transformers ....

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New Study Delves Into World of Artificial Neural Networks, Unraveling How AI Brains Learn

In a recent study authored by former OpenAI researchers now affiliated with Anthropic, a novel approach is proposed to gain a deeper understanding of artificial neural networks. ....

City Of , United Kingdom , Zoe Middleton , Dan Kitwood Getty , Katharine Dowson , Artificial Neural Networks , Inno Flores , Tech Times , Getty Images , Artificial Neural , Interesting Engineering , Language Models , Dictionary Learning , Real Human Neurons , Silicon Angle , Mechanistic Interpretability , Artifical Neural Networks , Artificial Intelligence , Neural Networks , I Model Enhancement , Ai Advancements , Computer Scientists , Language Models ,

"Classification of Improvised Explosive Devices using Multilevel Projec" by Fok Hing Chi Tivive, Abdesselam Bouzerdoum et al.

Improvised explosive devices pose a significant threat to defence forces and humanitarian demining personnel. They are weapons of modern times, made from non-conventional military materials, rendering them difficult to identify when buried in the ground. Numerous studies focus on detecting these explosive threats and reducing the false alarm rate. However, there are few attempts to identify the detected explosive devices to take proper countermeasures. This paper presents a multi-level projective dictionary learning method to classify ground penetrating radar signals from improvised explosive devices. The proposed dictionary learning method solves three different tasks simultaneously: suppressing background clutter, learning a set of discriminative features for classification, and training a classifier. The suppression of ground clutter is formulated as a low-rank optimization problem with sparse constraints, where a low-rank subspace is learnt from background clutter signals. Dictiona ....

Lutter Removal Using Low Rank Constraint , Dictionary Learning , Feature Extraction , Ground Penetrating Radar , Improvised Explosive Devices , Landmine Detection , Machine Learning , Ignal Classification ,