Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...