NPUs expand the capabilities of modern notebooks and accelerate AI services and functions. More and more applications are ...
In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...
Introduction Poststroke depression affects approximately 30% of stroke survivors and is linked to worse functional outcomes, cognitive decline, reduced quality of life and increased mortality. While ...
Abstract: The rapid growth of deep learning has led to intricate and resource-intensive deep neural networks widely used in computer vision tasks. However, their complexity results in high ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Redcore Investments COO, Ihor Denysov, elaborates on just why those that master AI and big data will spearhead the industry ...
Global Data & AI Virtual Tech Conference (GDAI 2025), the biggest virtual tech conference organized by DataGlobal Hub, was concluded with resounding success, uniting participants from various ...
This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...
Abstract: In the field of time series prediction, runoff prediction is a critical subfield. Accurate runoff forecasting is essential for optimizing water resource allocation and mitigating flood risks ...
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