Open Position

C. for Responsible AI-Refª C645008882-00000055-BI|2023/361

Type of Position: Research Fellowship (Bolsa de Investigação)

Type of Contract: Research grant

Duration: 12 Months

Closed at: 2023-Jan-31


State-of-the-art AI models are unsustainably hunger for data and computational resources: the recent GPT-3 model developed by OpenAI has 175 billion parameters, was trained on 500 billion words, and took 3.14E23 flops to train (on a domestic GPU, it would cost $4.6M and it would require 355 years to train such a model). This has a daunting carbon footprint and poses serious environmental concerns. Recent literature has shown that the training of a state of the art ML model for NLP can emit 5x more CO2 than a car during its entire lifespan. The assignee of this research grant will investigate and develop new scientific methods and technologies for making AI systems more energy and data efficient -- an important goal for Data4Green and the European Green Deal. More in detail, the focus of this grant will be on investigating the adoption of emerging hardware mechanisms (In-memory processing devices, Non-Volatile RAM, Transactional Memory) to increase efficiency of storage and intra-node synchronization.


Paolo Romano



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