Climate change is the planet's biggest challenge and Artificial Intelligence (AI) could provide the right tools in the global fight. There is still a lot we don't know about planet Earth, and advanced machine learning and AI could offer a'silver bullet' to help us unravel the mysteries of our atmosphere, oceans and cryosphere. AI will become key for scientists in predicting extreme weather, alerting them to severe rainfalls, hurricanes and other events as the world warms. AI is also being developed to track where air pollution is also coming from. In this live chat, you'll meet AI experts who're using the power of artificial intelligence and machine learning to reveal the secrets of our climate and weather systems.
Commercial and industrial applications of artificial intelligence and machine learning are unlocking economic opportunities, transforming the way we do business, and even helping to solve complex social and environmental problems. In fact, generative applications of this technology have become tools for environmental sustainability. With machine learning's capability to analyze and make predictions using massive pools of data, these applications are now able to accurately model climate change and fluctuations, so that energy infrastructures and energy consumption can be re-engineered accordingly. Ironically, training large-scale models via deep neural networks requires vast computational power. It also produces a great deal of thermal energy from each of the associated graphics processing units (GPUs) or tensor processing units (TPUs) used.
Infrastructure around the world is being linked together via sensors, machine learning and analytics. We examine the rise of the digital twin, the new leaders in industrial IoT (IIoT) and case studies that highlight the lessons learned from production IIoT deployments. Schneider Electric will launch a robo-advisor approach to climate change and sustainability with the help of machine learning, artificial intelligence and data science. The company, best known for its EcoStruxure platform for the industrial sector as well as data centers, will offer AI-assisted advising to its energy and sustainability services. Schneider Electric is emerging as a critical edge computing player.
A lot happened this week in the AI space. The Guardian wrote an article with GPT-3 and again demonstrated that no matter what OpenAI paid to train and create the language model, the free marketing might be worth more. After losing the JEDI cloud contract appeal with the Pentagon, Amazon appointed to its board Keith Alexander, who oversaw the National Security Agency mass surveillance revealed by Edward Snowden leaks in 2013. And Portland passed the strictest facial recognition bans in U.S. history, outlawing government and business use of the technology. However, AI Weekly attempts to reach into the zeitgeist and highlight the issues on people's minds. This week without question it's the smoke that has hung over the western United States and the underlying problem of climate change.
A lot happened this week deserving of attention in the AI space. The Guardian wrote an article with GPT-3 and again demonstrated that no matter what OpenAI paid to train and create the language model, the free marketing might be worth more. After losing the JEDI cloud contract appeal with the Pentagon, Amazon appointed Keith Alexander to its board -- the man who oversaw the National Security Agency mass surveillance revealed by Edward Snowden leaks in 2013. And Portland passed the strictest facial recognition bans in U.S. history, outlawing government and business use of the technology. However, AI Weekly attempts to reach into the zeitgeist and highlight important events on people's minds. This week without question it's the smoke that's hung over the western United States and the underlying issue of climate change.
At present, more African elephants are dying than being born. Over the last century, the world's elephant population has declined 97% from trophy hunters, ruthless ivory mercenaries, and even terrorist groups. The Wildlife Conservation Society has pointed out that the global ivory trade leads to the death of up to 35,000 elephants a year in Africa. It's easy to point a finger at China as the biggest market for poached ivory in the world, yet only five years ago more than a ton of confiscated ivory was crushed in New York's Times Square by the Wildlife Conservation Society.
Concerned that the majority of air quality issues affected those in low-income countries, the team developed a solution called AirQo, an initiative that combines human ingenuity, AI models, and boxes packed with air monitoring technology to predict pollution patterns in Kampala. Air sensors on buildings and moto-taxis collect swathes of pollution data, and cloud-based AI software swiftly analyses it to make air quality forecasts. These predictions are passed to government agencies, who can work to improve air quality and reduce the risk of exposure within local communities. The research team hopes that one day this technology will reduce pollution on streets across the continent so that this generation and the next will know what it means to breathe fresh air.
Climate change poses a real threat to coral reefs. How this threat actually affects the reefs can be assessed only with considerable staff and technical effort. A team of marine researchers from the Max Planck Institute for Marine Microbiology in Bremen will found a new company with HyperSurvey going completely new ways. Support comes from the EXIST scholarship, an initiative of the Federal Ministry of Economics and Technology (BMWi). How does the HyperDiver system work?
Along with a dedicated team of students, Engineer installs air sensors on top of buildings and the backs of motorbike taxis ― known as boda bodas and one of the city's most common forms of transportation ― to collect pollution data from all over the city. The team then uses cloud-based AI software to analyze air particle data in real-time and predict local pollution. These forecasts offer Kampala's communities a way to reduce their risk of exposure and are being used by government agencies to improve air quality on the ground. Engineer and the team at Makerere University are one of 20 organizations selected from more than 2,600 applicants to receive a grant through the Google AI Impact Challenge: the Google.org Through this program, the Makerere team also received coaching and mentorship from Google and DeepMind AI experts over the course of a 9-month AI accelerator.
While artificial intelligence (AI) is often associated with the spawning of robots that will take our jobs, Terminator's Skynet, or the unblinking red eyes of Hal 9000 in 2001: A Space Odyssey, its true and immediate effects are best seen by simply observing the innovations -- ones that prove that software can do a variety of tasks better than humans can. If one thing is clear, it's that artificial intelligence has the potential to disrupt every industry, which leads to a big question that should matter to all of us: To what extent can a powerful technology like artificial intelligence be used to help us tackle climate change? To learn more about how we can leverage artificial intelligence to tackle climate change, I had to chat with Priya Donti, who's completing a Ph.D. in Computer Science and Public Policy at Carnegie Mellon University, focused on the role machine learning can play in climate change mitigation solutions. Donti is also a co-chair of Climate Change AI, an organization that unites "volunteers from academia and industry who believe in using machine learning, where it is relevant, to help tackle the climate crisis." Our conversation, which has been edited for length and clarity, discusses the risks, the rewards, and the limitations of using artificial intelligence to combat climate change.