May 24, 2022, 12:31 p.m. | Dan Robinson

The Register - Software: AI + ML www.theregister.com

Graz University findings will become more significant as more AI work is done

Neuromorphic chips have been endorsed in research showing that they are much more energy efficient at operating large deep learning networks than non-neuromorphic hardware.…

chips deep learning energy energy efficient learning neuromorphic neuromorphic chips

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Principal Engineer, Deep Learning

@ Outrider | Remote

Data Analyst (Bangkok based, relocation provided)

@ Agoda | Bangkok (Central World Office)

Data Scientist II

@ MoEngage | Bengaluru

Machine Learning Engineer

@ Sika AG | Welwyn Garden City, United Kingdom