Social media algorithms driven by AI shape far more than what appears on our screens, including how we think, feel, and ...
Abstract: This paper presents the optimisation of the states of PIN diodes in a design of a pattern reconfigurable antenna operating at a centre frequency of 5 GHz. The proposed design comprises a ...
1 China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China 2 Biosensor National Special Laboratory Department of Biomedical Engineering, Zhejiang University, Hangzhou, China Introduction: Individual ...
High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
A new evolutionary technique from Japan-based AI lab Sakana AI enables developers to augment the capabilities of AI models without costly training and fine-tuning processes. The technique, called ...
Abstract: Dynamic constrained multiobjective optimization problems (DCMOPs) are widely existed in real-world applications and emerged as a prominent research focus in the evolutionary computation ...
The new Guidelines contain some key provisions for innovator companies active in the AI-sphere, including the clear prohibition on AI systems being named as inventors and AI-related patents ...
SEATTLE — Companies are increasingly using algorithms and artificial intelligence (AI) to analyze the massive amount of data they scoop up about us to decide what financial products we qualify for and ...
ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.
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