These are the LLMs that caught our attention in 2025—from autonomous coding assistants to vision models processing entire codebases.
From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...
Taken together, these signals suggest one thing: we may be closer to AGI—and to systems capable of passing the Turing ...
AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
Abstract: Federated Learning (FL) enabled the reliability and robustness of 5G communication networks for wireless edge computing to provide collaborative Deep Learning (DL) of complex models while ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
Abstract: Marine exploration, environmental monitoring as well as autonomous underwater vehicles need underwater imaging, however, it is severely degraded by light absorption, scattering and color ...
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