March 28, 2024, 7:08 p.m. |

News on Artificial Intelligence and Machine Learning

Heating, ventilation, and air conditioning (HVAC) systems, a critical component of building energy consumption, are prone to faults that can reduce their efficiency. Traditional data-driven fault detection and diagnosis (FDD) models often suffer from limited generalizability, making their application across diverse systems challenging.

air conditioning application building consumption data data-driven detection diagnosis diverse efficiency energy energy efficiency energy & green tech hvac making reduce systems transfer transfer learning transformer

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analyst (Commercial Excellence)

@ Allegro | Poznan, Warsaw, Poland

Senior Machine Learning Engineer

@ Motive | Pakistan - Remote

Summernaut Customer Facing Data Engineer

@ Celonis | Raleigh, US, North Carolina

Data Engineer Mumbai

@ Nielsen | Mumbai, India