Researchers, businesses and governments alike have all applied AI extensively in the fight against climate change. However, while this has shown some impressive results, its environmental downsides have also become clearer. Here's a closer look at the benefits and disadvantages of using AI to address climate change.

Artificial intelligence (AI) has entered its Golden Age. Machine learning requires more data to provide compelling insights on how to optimize human activity. Landsat 9 will fill the gap and feed invaluable information into the most powerful AI recommender, predictive, and classifications systems ever. Artificial intelligence (AI) has entered its Golden Age. Machine learning requires more data to provide compelling insights on how to optimize human activity.

When you think about solving the climate crisis, what springs to mind? Most people's knee-jerk reaction is along the lines of "electrification," "carbon sequestration," "recycling," or "renewable agriculture." While not many think of phrases like "big data" or "artificial intelligence," several recent conversations have convinced me how important these fields are to helping our civilization thrive and survive into the next century. The two founder / CEOs with whom I have had the pleasure to speak recently use AI in very different ways and in completely different fields, but it is clear that the ubiquity of cheap computing power, combined with smart engineers and focused, visionary entrepreneurs represents a formidable force in helping us mitigate and adapt to today's harsher, more challenging post-climate world. The companies featured in this article are Clir and SINAI Technologies.

When you think about solving the climate crisis, what springs to mind? Most people's knee-jerk reaction is along the lines of "electrification," "carbon sequestration," "recycling," or "renewable agriculture." While not many think of phrases like "big data" or "artificial intelligence," several recent conversations have convinced me how important these fields are to helping our civilization thrive and survive into the next century. The two founder / CEOs with whom I have had the pleasure to speak recently use AI in very different ways and in completely different fields, but it is clear that the ubiquity of cheap computing power, combined with smart engineers and focused, visionary entrepreneurs represents a formidable force in helping us mitigate and adapt to today's harsher, more challenging post-climate world. The companies featured in this article are Clir and SINAI Technologies.

More and more, across the globe, the effects of global warming are being felt. Global movements like Extinction Rebellion have repeatedly caused disruption by protesting in cities around the world and are symbolic of the growing attention being paid to this important issue. Despite the boom in public awareness, methods to combat the issue have been slow to develop – separating rubbish into recycling and general waste is as far as the majority of households go. More advanced technology, such as solar panels and wind turbines remain out of reach to many due to their high cost and space required for installation. However, another technology may have a far bigger impact in the fight against climate change.

This March, a truck pulled onto a runway in Oregon, towing a miniature plane for a test flight. At 650 pounds, the plane was too large to be a toy, but too small to fit a pilot. That's because the ArcticShark isn't a toy, and it doesn't need a pilot. Department of Energy scientists at the Pacific Northwest National Laboratory commissioned its design in order to fly over the Alaska North Slope to take data in the Arctic atmosphere. As it flies through the air at a modest 75 miles per hour, the drone will measure the size of atmospheric particles, levels of infrared radiation, humidity, wind direction, and more--measurements that will help scientists understand basic atmospheric processes like how clouds form, which they could eventually apply to climate models.