Artificial intelligence is already impacting our lives. And the use of AI for social functioning is on an all-time high. Be it getting riding directions through our smartphone or getting daily reminders by using our health system to extend our workouts; all these are manifestations of how artificial talent is altering the way we function. What is often much less understood is the vast function synthetic brain can play in the social sector. The Artificial Intelligence for social good can probably assist in solving some of the country's most pressing problems. As a count number of facts, it can contribute in some way or every other to tackling and addressing all of the United Nation's Sustainable Development Goals, supporting large sections of the populace in both growing and developed countries. AI is already helping in several real-life situations, from assisting blind humans in navigating and diagnosing cancer to identify sexual harassment victims and helping with catastrophe relief. Let us take a look briefly at integral social domains where AI can be carried out effectively.
Intel has recently partnered with Accenture and the Sulubaaï Environmental Foundation to create an AI-driven data collection platform aimed at analyzing and protecting vulnerable marine habitats, habitats like coral reefs. A combination of climate change, pollution, and overfishing have been damaging the world's oceans, particularly coral reefs. Coral reefs around the world are experiencing mass die-offs and problems like coral bleaching. Scientists and conservationists are looking for ways to protect coral reefs and help them recover. Designing plans to support coral reefs requires data, and as Engadget reported, Intel has partnered with two environmental foundations to create the CORaiL platform.
GCP offers a suite of cloud technologies with fully managed and serverless solutions that make processing, storing, and analyzing data easy. This analysis will utilize BigQuery, Geo Viz, and AI platform. GCP offers $300 of trial credits to new users. Additionally, BigQuery comes with 1TB of free processing a month. This demo uses a fraction of these credits.
The National Academies of Sciences, Engineering, and Medicine (NASEM) are now assembling an ad hoc committee to identify emerging scientific and technological advances from across a broad range of disciplines that the U.S. Environmental Protection Agency's (EPA) Office of Research and Development (ORD) should consider in its research planning to support EPA's mission for protecting human health and the environment. In addition, according to NASEM, the committee will recommend how ORD could best take advantage of those advances to meet current and future challenges during the next 10 - 20 years. NASEM states that the committee will consider EPA's mission, strategic planning documents, and current initiatives, as well as other broader topics, including, but not limited to, biotechnology, big data, climate impacts, environmental monitoring and sensors, impacts of stressors on ecological and human health, and artificial intelligence and machine learning. The committee also will consider advances that help EPA better incorporate systems thinking into multimedia, multidisciplinary approaches. Nominations for committee members and reviewers are due August 5, 2020.
Bureaucrats -- particularly those from the European Union (EU) -- rarely get the praise they deserve. By their nature, they are reserved, so they do not draw attention to themselves when things go well. When things go poorly, though, they make for a convenient target. So when the EU does something bold, we should give it its due. The EU's boldness in addressing a host of environmental problems head-on is unmatched.
Now is a particularly opportune time to drive towards this goal. As the world moves towards a COVID-19 post-pandemic recovery, the UN has called on governments to heed the "unprecedented wake-up call" and "build back better" by creating more sustainable, resilient and inclusive societies. There are two approaches to Green AI – using AI to solve sustainability challenges and using AI in a more sustainable way. How can AI solve sustainability challenges? Delivering societal and environmental well-being through AI are key strategic considerations of the European Commission, who acknowledge that "AI systems promise to help [tackle] the most pressing concerns, including climate change and environmental degradation".
Testing for pathogens is a critical component of maintaining public health and safety. Having a method to rapidly and reliably test for harmful germs is essential for diagnosing diseases, maintaining clean drinking water, regulating food safety, conducting scientific research, and other important functions of modern society. In recent research, scientists from University of California, Los Angeles (UCLA), have demonstrated that artificial intelligence (AI) can detect harmful bacteria from a water sample up to 12 hours faster than the current gold-standard Environmental Protection Agency (EPA) methods. In a new study published yesterday in Light: Science and Applications, the researchers created a time-lapse imaging platform that uses two separate deep neural networks (DNNs) for the detection and classification of bacteria. The team tested the high-throughput bacterial colony growth detection and classification system using water suspensions with added coliform bacteria of E. coli (including chlorine-stressed E. coli), K. pneumoniae and K. aerogenes, grown on chromogenic agar as the culture medium.
The disadvantage of a portable device soon became obvious: It measures the air quality only at the current location and must be carried by the user at all times. Consequently, the Hawa Dawa founders took their idea a step further: Their goal is to provide citywide mapping of air quality in real time. Hawa Dawa uses data from existing sources such as satellites and public measurement stations and integrates these readings into its online platform. The measurement network is complemented by the company's own air quality nodes. In contrast to the public data collection stations, in which the air undergoes extensive treatment prior to analysis, Hawa Dawa deploys small, low-cost sensors based on a different approach: "We use AI-based calibration algorithms that take into account the cross-sensitivity of the pollutants as well as the influences of temperature, relative humidity and air pressure in order to exclude environmental factors from the data," explains Hawa Dawa cofounder Yvonne Rusche. The CE-certified sensors perform highly accurate measurements of common parameters such as nitrogen oxides, fine particulates and ozone.
A new artificial intelligence invention by Hypergiant Industries could prove to be the solution to the world's carbon dioxide problem. The company is launching the second generation Eos Bioreactor, currently still a prototype, that can be used to absorb excess carbon dioxide from the atmosphere and give out oxygen. Besides its ability to reduce environmental pollution, the new AI-based bioreactor also improves health. The excessive presence of carbon dioxide in the atmosphere has led to a steady rise in the average global temperatures over the years. A National Geographic report states that ocean levels will rise by up to 2.3 feet by 2050 due to melting glaciers.