31 October 2026

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Highways.Today Dictionary

Machine Learning ML

A data and artificial intelligence term used to analyse, automate or optimise infrastructure decisions.

Machine Learning Explained

Machine Learning is a key term within ai & data analytics, where it is used across construction, infrastructure, transport and industrial project delivery. In practical terms, it helps describe how work is planned, specified, delivered, measured or maintained on real sites and assets. Understanding machine learning is useful because the same language is often shared by contractors, designers, suppliers, asset owners, public authorities and investors.

Within Highways.Today’s Dictionary, machine learning should be read as part of the wider vocabulary of artificial intelligence, data science, analytics and automation terms used in infrastructure and construction. It may appear in technical specifications, tender documents, project reports, equipment guides, safety plans, design models, maintenance schedules or news articles. Exact requirements can vary by country, project type, contract form, standard and manufacturer, so readers should always check the relevant local guidance, drawings, regulations and professional advice before relying on the term for design, procurement or operational decisions.

Articles Featuring Machine Learning

Sewer Inspection with Bacteria Inset Wastewater DNA Offers New Way to Predict Sewer Pipe Corrosion 26th October 2026 Wastewater DNA Offers New Way to Predict Sewer Pipe Corrosion Wastewater samples collected from 40 manholes have helped researchers in… GNSS Surveying at a Roadworks Site GNSS Research Identifies Factors Behind Centimetre-Level Positioning Accuracy 26th October 2026 GNSS Research Identifies Factors Behind Centimetre-Level Positioning Accuracy Two sets of satellite correction products produced noticeably different positioning results across… Hexapod Robot Navigating Rocky Terrain Reinforcement Learning Gains Stability Guarantees for Real-World Robotics 22nd October 2026 Reinforcement Learning Gains Stability Guarantees for Real-World Robotics A robot can learn to follow a route remarkably well in simulation,… Seequent Brings AI Geological Analysis to Drill Core Photography Seequent Brings AI Geological Analysis to Drill Core Photography 14th October 2026 Seequent Brings AI Geological Analysis to Drill Core Photography Six hundred metres of drill core photography, analysed in two minutes.… Robotic Concrete Testing Laboratory Robotics and AI Bring Self-Driving Scientific Laboratories Closer to Reality 9th October 2026 Robotics and AI Bring Self-Driving Scientific Laboratories Closer to Reality At one of the world’s most advanced scientific research facilities,… Road Authorities Face a New Question: Prove Why the Algorithm Deferred That Segment Road Authorities Face a New Question: Prove Why the Algorithm Deferred That Segment 25th September 2026 Road Authorities Face a New Question: Prove Why the Algorithm Deferred That Segment A resurfacing segment sat in a 2027… CoreWeave Takes Physical AI Into the Engineering Department CoreWeave Takes Physical AI Into the Engineering Department 11th September 2026 CoreWeave Takes Physical AI Into the Engineering Department CoreWeave has launched Physical AI Field Engineering, taking specialists with backgrounds in… Inside Georgia's Work to Secure the Connected Highway Inside Georgia’s Work to Secure the Connected Highway 27th August 2026 Inside Georgia’s Work to Secure the Connected Highway A remotely operated gate controlling access to an express lane looks like…
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Editorial Note

The Highways.Today Dictionary is maintained as an editorial reference resource for construction, infrastructure, transport and industrial technology professionals. Definitions are intended to support understanding, discovery and research, and may be expanded over time as the Dictionary evolves into a broader illustrated industry reference.