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Saturday, September 16, 2023

Can artificial intelligence know disasters before they happen

Can artificial intelligence know disasters before they happen

 the introduction

  •  👉Disasters have become increasingly widespread. From earthquakes and hurricanes to forest fires and floods, finding ways to confront disasters, or at least predict them, is humanity's primary concern now and in the near future.
  • 👉Researchers in the field of artificial intelligence and geophysicists at Stanford University believe that artificial intelligence can be fast and give the appropriate time to warn people, and here 10 seconds can save many lives.
  •  👉The year 2008 witnessed an increase in severe climatic conditions around the world, some of which were associated with heavy rainfall and floods, and some with increased droughts and fires. Fortunately, artificial intelligence offers a promising solution to prevent and mitigate the effects of these disasters.
  • 👉Researchers in Spain are working on developing artificial intelligence algorithms and techniques to predict weather changes well in advance to avoid floods or any potential danger.
  • 👉In recent years, using deep learning and advanced artificial intelligence, we have achieved promising results in terms of predicting and forecasting earthquakes. The technology can predict the intensity of earthquakes according to what was seen by seismic monitoring stations, and these observations can be used to predict the intensity of earthquakes within seconds.
  • 👉Technology and research have emerged that attempt to help governments better predict and respond to disasters such as floods, tsunamis and earthquakes. The researchers are using deep learning algorithms to filter out city noise so earthquake data can be better collected. Algorithms analyze seismic data based on previous earthquakes to predict disasters earlier and notify people more quickly

Forest fires and flood disasters

  • 👉The Joint Artificial Intelligence Center (JAIC) has worked in collaboration with the US National Guard for over a year building and engineering an AI-enabled capability to detect a firewall, which is a gap in vegetation or other combustible material that acts as a barrier to slow or stop the progression of a wildfire, viz. Another is a path-shaped area that is uncultivated between the plantings, or on their margins, and which is kept free of flammable vegetation.
  •  👉JAIC and experts in the US National Guard joined forces in assessing flood damage and ways to mitigate its devastating effects. JAIC entered into a partnership with the Pacific Northwest National Laboratory of the US Department of Energy to expand its artificial intelligence prototypes and develop its algorithms in order to meet the requirements of decision makers to provide relief to those affected, direct rescue operations, and provide humanitarian and technical assistance in the early stages of any natural disasters.

How governments can use AI for prevention and preparation

The potential of artificial intelligence (AI) for prevention

  •  👉AI plays a critical role in personal disaster preparedness by providing enhanced accuracy in forecasts, and by using real-time AI tools individuals can improve their preparedness and response to natural disasters, reduce risks, and ensure safety. Here are some ways in which artificial intelligence can be used:
  1. Early warning systems: Artificial intelligence algorithms can analyze data from sensors, weather forecasts, satellite images, and social media to provide early warnings and predictions of impending disasters.
  2. Monitoring and detection: AI-powered drones, cameras and satellites can monitor and detect signs of potential disasters, such as monitoring river levels to detect floods or identifying areas vulnerable to wildfires.
  3. Modeling and simulation: AI algorithms can simulate various disaster scenarios, helping authorities and emergency services develop effective response plans and allocate resources efficiently.
  4. Real-time decision making: AI systems can process massive amounts of data in real-time and provide actionable insights to emergency responders, enabling them to make informed decisions quickly.
  5. Rescue and recovery: Robots and autonomous systems powered by artificial intelligence can assist in search and rescue operations, survey affected areas, and assist in disaster recovery efforts.
  6. Risk assessment and mapping: Artificial intelligence algorithms can assess risk levels by analyzing historical data, geographic information, and climate patterns. This helps governments identify high-risk areas and allocate resources accordingly.
  7. Image recognition: AI-powered image recognition can quickly analyze aerial photographs and satellite images to identify fire hotspots, flooded areas, or other disaster-related incidents. This enables faster response and targeted allocation of resources.

Optimization of statistical models for better accuracy

  • 👉Artificial intelligence can improve the statistical models used in disaster management, and improve accuracy in predicting the severity and impact of natural disasters. By analyzing historical data and feeding it into machine learning algorithms, AI can identify patterns and trends, enabling authorities to make more informed decisions.
  • 👉AI has already shown promising results in disaster management scenarios. For example, IBM's Deep Thunder software uses artificial intelligence to predict severe weather events, helping municipalities to prepare and respond effectively. Likewise, Google's Flood Forecasting Initiative uses artificial intelligence to predict floods in vulnerable areas, providing advanced warning and allowing authorities to take preventive measures.
  • 👉Artificial intelligence has great potential in preventing and managing natural disasters. By harnessing the power of AI, we can enhance preparedness, response and recovery efforts, ultimately saving lives and reducing the devastation caused by such events.

Artificial intelligence and corporate empowerment

  • 👉For example, AI-based weather forecasting could enable companies to determine when a storm is likely to form, as well as how fast it is moving. This can help companies plan evacuation routes, take preventive measures, and reduce the risk of natural disasters.
  • 👉Artificial intelligence can also be used to analyze satellite data to identify changes in the environment. This data can be used to detect changes in the environment that could lead to increased risk of natural disasters, as well as changes in water levels and soil erosion that could also be indicators of an impending event. With the help of AI, organizations can better prepare for natural disasters by taking the necessary steps to protect their assets and communities.
  • 👉In addition to predictive modeling, AI can also be used to analyze historical data to better understand how natural disasters occur. Artificial intelligence can be used to identify patterns in data and develop more accurate models of how natural disasters will occur in the future. This knowledge can then be used to create improved emergency response plans.
  • 👉Furthermore, AI can also be used to improve disaster preparedness and response. AI-based software can be used to monitor natural disasters in real time, allowing organizations to quickly respond to potential risks. AI can also be used to process sensor data to provide a better understanding of the disaster, making it easier to deploy the right rescue resources to the right areas.

The US Pentagon’s opinion on artificial intelligence

  • 👉The Pentagon tends to rely on artificial intelligence in facing natural disasters and providing humanitarian aid in stricken areas. According to the US UPI news agency, the Pentagon will help develop artificial intelligence algorithms to improve decision-making in the early stages of natural disasters and the accompanying humanitarian efforts.

Launching 5 federations

  • 👉This plan was announced in a virtual meeting via the Internet, in which representatives of the US Departments of Defense and Energy and Microsoft Corporation participated, in addition to an official at the White House last weekend.
  • 👉Michael Kratsios, the Pentagon's chief technology officer, said five consortiums of companies and government agencies have been launched. The objectives of the partnership projects between the US government and the private sector will focus on employing the best technological talents for artificial intelligence, starting with decision-making to provide humanitarian aid, mitigating natural disasters, and how to implement elaborate plans that protect lives and property.
  • 👉Nand Moolchandani, acting director of the Joint Artificial Intelligence Center (JAIC) at the Pentagon, noted that the US military devotes significant time and resources to disaster response and humanitarian aid. “Software (artificial intelligence) has cost characteristics,” Mulchndani added.

 


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