ML is becoming increasingly important across global construction, infrastructure and industrial technology, influencing how projects are visualised, coordinated, delivered and managed over time.
In focus
From planning and design to field execution and asset management, this topic sits at the centre of digital change across the built environment, helping teams improve visibility, accuracy, coordination and long-term performance.
Galileo, the first-ever machine-learning (ML) data intelligence company for unstructured data, today announced the launch of its proprietary data-quality intelligence pla...
Industry 4.0, IoT, IIoT, AI and machine learning are all terms now synonymous with industrial automation. Likewise, commentators have given much thought in recent years a...
Researchers have developed new βintelligent compactionβ technology, which integrates into a road roller and can assess in real-time the quality of road base compaction. I...
As scientists push the boundaries of machine learning, the amount of time, energy, and money required to train increasingly complex neural network models is skyrocketing....
Machine learning refers to artificial intelligence (AI), where software programs may anticipate outcomes more accurately without having to be explicitly instructed. Artif...
Over the last few years, machine learning has gained traction at an increasing rate, with more and more businesses adopting machine learning into their day-to-day process...
A British AI tech start-up Kortical, which helps companies use machine learning (ML) and artificial intelligence (AI) capabilities, has improved 10x their success rate of...
Lattice Semiconductor Corporation, the low power programmable leader, today announced enhancements to its award-winningΒ Lattice sensAI™Β solution stack for accelera...
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