A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...
Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...
Tech Xplore on MSN
New software could reduce dependency on big data centers for AI
EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...
Bioprocess modeling is undergoing a transformative phase with the advent of digital technologies like artificial intelligence (AI) and machine learning ...
If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...
TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...
Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...
AI-driven adaptive safety stock planning is revolutionizing inventory management in fluctuating supply chains.
A new technical paper titled “A Tensor Compiler for Processing-In-Memory Architectures” was published by researchers at ...
AI is set to disrupt the telco sector just like any other, and while big players will of course make their impact, newer startups could be just as important.
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results