The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...
In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
The predictive capabilities of AI can be a powerful tool, but the goal of such algorithms is to maximize efficiency, which ...
Artificial intelligence and machine learning play an increasingly important role. Algorithms trained on large datasets are ...
GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...
anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...
Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...
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