Search Results for "transport and infrastructure"

Transport and Infrastructure
Page
Overview Building on the UK’s rich history of innovation in transport and infrastructure, Digital Catapult tackles critical challenges such as…

UK transport put on path to success with pioneering AI accelerator for the Innovate UK BridgeAI programme
Press Release
UK transport put on path to success with pioneering AI accelerator for the Innovate UK BridgeAI programme
Published 9 May 2024

The value of emerging technologies for the rail industry
Blog
In today’s globalised world, maintaining a competitive edge requires the embrace of emerging technologies. Digital Catapult continues to work with…
Published 9 Aug 2023

Driving innovation: Accelerating AI adoption in UK transport
Blog
Despite a productivity decline of 25% in the UK transport sector since 2011, only 1.3% of AI companies operate in…
Published 10 Dec 2024

Cohorts and organisations
Programme
Discover the partners and people supporting the Innovate UK BridgeAI programme. From programme partners, cloud computing partners, hardware and HPC…

Unlocking The Potential Of Quantum Sensing For Transport
Event
Join Digital Catapult for an exploration into the rapidly advancing field of quantum sensing and its applications across the transport…
21 January 2025 09:30 - 13:45

Sunderland City Council challenges innovators to analyse transport mobility patterns and behaviour
Press Release
Published 23 Jul 2021

Putting the AI in aided transport: Recognising the outcomes of tech trends
Blog
The transport industry leads the way in the application of new AI technology. From optimising traffic flow to organising warehouses…
Published 29 Feb 2024
Dstl Pit Stop: IoT in Smart Cities and Transport
Event
The Digital Catapult wants to hear from any small or medium sized businesses interested in developing innovative approaches to smart…
3 March 2016 09:00 - 4 March 2016 17:00

Predina
Case study
Predina is an innovative startup using AI and machine learning to use contextual data to dynamically predict road transport risk…