Watch Healthcare NLP Summit 2024. Watch now.
was successfully added to your cart.

John Snow Labs Continues Its Lifelong Carbon Neutrality Commitment by Achieving CarbonNeutral® Company Status in 2023

John Snow Labs, the award-winning Healthcare AI and NLP company renowned for its Spark NLP library, proudly announces its continued commitment to sustainability with the achievement of CarbonNeutral® company status for the year 2023.

This continues the company’s lifelong commitment to responsible innovation: John Snow Labs has been carbon neutral throughout its entire operating history.

The journey to carbon neutrality involves meticulous calculations of the company’s carbon footprint and the subsequent reduction to zero through a combination of internal efficiency measures and support for external emission reduction projects. By adhering to the rigorous and transparent CarbonNeutral Protocol, businesses like John Snow Labs can achieve carbon neutrality for their operations, products, or activities.

Advances in AI, particularly in the realm of Large Language Models (LLMs), have caused a surge in carbon emissions by the AI industry. Research studies have estimated that the amount of energy consumed by training large language models has grown by 300,000 in just six years, with AI model size doubling every 3.4 months, creating a potentially material carbon footprint. One study estimated that training a single AI model can emit as much carbon as five cars in their lifetimes.

Addressing these challenges head-on, John Snow Labs has invested in engineering its large language models from the ground up to consume as little energy as possible. David Talby, CTO at John Snow Labs, stated that “We consider sustainability as a key aspect of Responsible AI. We are here to prove by doing that fast innovation in NLP and Generative AI in Healthcare and other industries can be done right.”

In line with the CarbonNeutral Protocol, John Snow Labs has conscientiously reduced their greenhouse gas (GHG) emissions within its direct control. Along with vetted offsetting, this enables the open-source AI community and healthcare industry to put the software to good use at scale in a sustainable manner.

The Ethical Implications of Medical LLMs in Healthcare

Imagine a tool that can analyze vast amounts of medical data, uncover hidden patterns, and assist healthcare professionals in making accurate diagnoses...
preloader