A group of scientists and experts in the field of artificial intelligence and machine learning globally recognized that these new technologies are still unable to make a tangible impact on the issue of climate change, global warming and global warming, and the consequences of this and multiple environmental disasters.

They stressed that the widespread and accelerated spread of artificial intelligence and machine learning technologies does not seem to achieve an automatic reduction in gas emissions that cause this global environmental crisis, and that hope for the future depends on employing new technologies in the deployment of clean energy and electric vehicles.

This recognition came in the context of a scientific conference held recently in the American city of Vancouver, and the "zdnet.com" network, which specializes in technology, published part of its facts recently.

Amazing results

During the conference, the participants discussed many ways to employ neural information networks based on artificial intelligence in climate science and weather forecasts in real time, as the scientific committee of the conference accepted 50 distinct research papers providing amazing results in the field of artificial intelligence applications and machine learning useful in lowering the Earth's temperature And combating climate change, for example, a research paper that presented a system developed by a joint team of scientists at the GB Global Research Center and the Georgia Institute of Technology, based on a new technique called "the remaining inverted neural network" developed by the companies "G Gul »and« Deep Mind ».

"D target"

In contrast to these scientific results and achievements, the scientists pointed out that the main dilemma in the presence of an effective role for artificial intelligence in the crisis of climate change and global warming is represented in the absence of what they called the “goal objective” or the value and objective function, which can be achieved if a concrete change is achieved Emissions of problem gases.

The director of the “Computer Sustainability” program at Cornell University, Dr. Carla Gomez, explained this by saying, “The vast majority of research and achievements that are being made behind employing artificial intelligence and machine learning revolves around the concept of (improvement) or the best case for systems and tools working in this.” The field or that is in a subsidiary or marginal way from the essence of the crisis, which is reducing harmful emissions, which is mainly related to the will and decisions of the responsible and regulatory authorities of different countries and governments about the uses of fossil fuels, and the various industrial activities that produce CFCs. That corrodes the ozone layer and creates a gas fence around the Earth that traps the sun’s heat on a greenhouse method. "We have good news for the planet Earth is that artificial intelligence and machine learning offer many great tools that may help slow the global warming phenomenon, or make it go in the opposite direction. The bad news is that this will not happen unless artificial intelligence finds the right goals in a way What".

Shocking report

Google’s artificial intelligence expert, Jeff Dean, reviewed in the conference’s keynote address what was reported in the latest report issued by the United Nations Intergovernmental Panel on Climate Change, which made it clear that without a sharp and accelerated greenhouse gas emissions reduction by 2030, The rise in global temperature will exceed 1.5 degrees Celsius after several decades, which will lead to the irreversible loss of many of the most fragile ecosystems, and cause crisis after crisis for the most vulnerable people and societies.