Sol and Terra set new high benchmark scores, while Luna performs near GPT-5.5 levels on several tests despite being ...
Researchers at the University of Tartu showed that large language models can identify with high accuracy why patients stop ...
Event Vision Sensors, or neuromorphic cameras, report sparse, and asynchronous image change-related data and enable microsecond-scale sensing and high dynamic range, but challenge physics-based sensor ...
The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in econometrics and ...
Functorial Semantics of Algebraic Theories Original unpublished; Ph.D. thesis, Columbia University, 1963. See extended TAC reprint 2004 1963 Functorial Semantics of Algebraic Theories (short notice) ...
Kin selection and inclusive fitness have generated significant controversy. This paper reconsiders the general form of Hamilton's rule in which benefits and costs are defined as regression ...
Partial differential equations (PDEs) are among the most ubiquitous tools used in modeling problems in nature. However, solving high-dimensional PDEs has been notoriously difficult due to the “curse ...
1 Department of Statistics, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 2 2Department of Mathematics and Statistics, Lagos State Polytechnic, Ikorodu, Lagos, Nigeria. In regression ...
One of the most interesting challenges in ECoG-based Brain-Machine Interface is movement prediction. Being able to perform such a prediction paves the way to high-degree precision command for a ...
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