Machine learning models are highly influenced by the data they are trained on in terms of their performance, ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...
The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning ...
Info-Tech Research Group has released its 2025 Machine Learning Emotional Footprint Report, which identifies the ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
In 2025, AI education moved beyond traditional coding lessons, focusing more on real-world skills, creativity, and ...
Public safety and efficient urban planning remain pressing challenges in Nigeria. From congested cities to crime hotspots and disaster-prone areas caused mostly by floods, authorities often lack the ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...
NASSCOM backs text and data mining exemptions for AI training in India, fuelling debate over copyright, consent, and creator compensation.
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