Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...
Finely dispersed particulate matter with a diameter of ≤2.5 μm (PM2.5) poses a significant health- and climate-risk, yet ...
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 ...
One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...
Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..
Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever ...
A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...
Machine design engineers working in the medical device field might draw inspiration from AuraWell’s iterative, ...
MaC Venture Capital’s Marlon Nichols explores how the rapid growth of A.I. data centers is straining America’s power grid. As A.I. accelerates energy demand, the next wave of innovation will ...
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