Abstract: This article introduces a simple framework for depth-augmented contrastive learning (SimDCL), a novel approach to enhance endoscopic image classification by incorporating depth information.
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7 Python mistakes that make your code slow (and the fixes that matter)
Python is a language that seems easy to do, especially for prototyping, but make sure not to make these common mistakes when ...
AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and ...
Simplify complex concepts with electric field problems made easy using Python and vectors! ⚡ In this video, we demonstrate step-by-step how to calculate electric fields, visualize vector directions, ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 ...
Advanced statistical modelling, hypothesis testing, and academic workflows make R preferred for data-heavy research and reproducible ...
Abstract: The increasing intricacy and quantity of network data pose significant obstacles for anomaly detection systems. Detecting and responding appropriately to novel and changing dangers is a ...
Physical AI is not merely a product feature. It is an architectural shift. The question before us is simple: Will the world of Physical AI be built by a few thousand engineers, or by millions of ...
The global economy is in the middle of a glow-up, and the fuel isn’t oil barrels or factory floors, it’s raw, restless data. Every digital interaction.
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