Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic ...
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
In hopes of providing a better monitoring system for those seeking to mitigate the negative effects of gentrification, ...
Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...
A new algorithm analyzes electrical activity in the brain to forecast whether standard depression drugs will work, ...
NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Anthropic launched a new AI model, Claude Opus 4.6, with refreshed features. While the AI models are getting better at the ...
Every synthetic dataset generated today trains tomorrow's models while potentially poisoning the ecosystem those models ...
The Manila Times on MSN
AI reshapes work as experts urge skills shift, lifelong learning
ARTIFICIAL intelligence is no longer a distant prospect but a daily reality across workplaces, accelerating changes in how jobs are defined, filled and performed. As adoption widens, educators and ...
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