Skip to main content

Zenuity and CERN to develop AV machine learning

Zenuity has joined forces with CERN, the European Organisation for Nuclear Research, to develop fast machine learning for autonomous vehicles (AVs). Zenuity - an autonomous driving software company - is hoping the collaboration will aid the development of AVs that can make decisions and predictions more quickly, thereby avoiding accidents. The partners will also aim to reduce the runtime and memory footprint of deep learning algorithms while minimising energy consumption and cost. They will use CERN’s
September 5, 2019 Read time: 1 min

Zenuity has joined forces with CERN, the European Organisation for Nuclear Research, to develop fast machine learning for autonomous vehicles (AVs).

Zenuity - an autonomous driving software company - is hoping the collaboration will aid the development of AVs that can make decisions and predictions more quickly, thereby avoiding accidents.

The partners will also aim to reduce the runtime and memory footprint of deep learning algorithms while minimising energy consumption and cost.

They will use CERN’s Field-Programmable Gate Arrays, a hardware solution that is expected to execute decision-making algorithms in micro-seconds for machine learning applications. 

Related Content

  • Hurdles to MaaS adoption highlighted
    January 25, 2018
    Jack Opiola talks to some MaaS advocates in the US. Cities will accommodate almost 60% of the world’s population by 2025 and technology is outpacing transportation plans and planners - putting extreme pressures upon planners and transportation systems alike. Big data, digital payments, ubiquitous communications, smartphone applications, on-demand travel and autonomous vehicles are all shredding existing transport plans. Never before has the pace of population growth and the tools to address this problem
  • Indra leads Spanish RDI Mobility 2030 project
    April 21, 2021
    Project seeks to integrate autonomous vehicles into Mobility as a Service solutions
  • Car parking and parked cars need not be a technological black hole
    March 19, 2015
    David Crawford mines the potential of joined-up parking. Drivers conventionally see parking as an isolated, often frustrating, action; but collectively their attempts to find a space impact hugely on traffic flows. But new analyses of parking events look set to deliver real benefits to motorists and cities alike. Initiatives getting under way around the world are highlighting the advantages of connecting up parking events and – eventually - parked cars. The hoped-for results include not only enhanced urban
  • Companies depend on automation, AI and machine learning for cyber security
    February 23, 2018
    To defend against cyber attacks, 39% of organisations are reliant on automation, 34% on machine learning and 32% on artificial intelligence (AI), according to the Cisco 2018 annual report conducted on 3,600 chief information security officers. It found that over half of all attacks resulted in financial damages of more than $500,000 (£697,000), including, but not limited to, lost revenue, clients, opportunities, and out-of-pocket costs. The study revealed that adversaries are using Malware sophistication