Conversation with Merlin [email protected] · Wed Nov 22 2023

what should i do with all of these?

Với tất cả thông tin trên, bạn có thể xem xét các hướng dẫn sau:

  1. Tìm hiểu cách sử dụng AI để dự đoán lượng gió sẵn có và đẩy nhanh quá trình chuyển đổi sang năng lượng tái tạo. Điều này có thể đặt nền tảng cho việc tối ưu hóa các hệ thống năng lượng hiện tại và tận dụng nguồn năng lượng gió.

  2. Nghiên cứu về cách thức AI có thể giúp chuyển đổi sang năng lượng tái tạo và tìm ra các yếu tố cốt lõi trong việc triển khai AI có thể là trở ngại lớn. Sử dụng thông tin này để định hình chiếnược triển khai AI hiệu quả cho hệ thống năng lượng.

  3. Xem xét việc hợp tác với các đối tác và chuyên gia để áp dụng AI trong việc chuyển đ sang năng lượng tái tạo. Hợp tác này có thể tạo ra các giải pháp inovative và tối ưu cho các thách thức cụ thể của biến đổi khí hậu.

Nắm được thông tin và áp dụng nó vào thực tế đểải quyết vấn đề biến đổi khí hậu và tận dụng tiềm năng của AI trong lĩnh vực năng lượng tái tạo.

Group of children holding planet earth over defocused nature background with copy space. Element of ... [+] this image furnished by NASA ( https://earthobservatory.nasa.gov/blogs/elegantfigures/2011/10/06/crafting-the-blue-marble/ )getty Inflation is a global problem, and it's one that is being exacerbated by climate change. This is because the increased frequency and severity of extreme weather events drive up prices for food, energy, and other necessities. But there is hope: AI can help us fight climate change by reducing emissions, improving energy efficiency, and increasing the use of renewable energy sources. Therefore, the Green transition is a key pillar in fighting inflation, and AI is an important tool in this effort. In fact, according to a 2022 BCG Climate AI Survey report (shown below), 87% of private and public sector CEOs with decision-making power in AI and climate believe AI is an essential tool in the fight against climate change. Public and private sector executives identified the most significant business value of climate-related advanced analytics and AI in the field of mitigation (reduction) at 61%, with mitigation (measuring emissions) at 57%, as part of the same report (shown in Exhibit 3 below). Other areas include adaptation (forecasting hazards) at 44%, adaptation (managing vulnerabilities and exposure) at 42%, mitigation (removing emissions) at 37% and fundamentals (facilitating climate research, climate finance, and education) at 28%. Public- and private-sector leaders who oversee climate and AI topics support using AI to fight ... [+] climate change, but only 43% have a vision for how to use itBCG Climate AI Survey, May 2022 There are many ways in which AI can contribute to climate change mitigation, e.g., through energy efficiency or by reducing emissions from transportation, agriculture and industry. AI can also help us adapt to the impacts of climate change by improving our ability to predict extreme weather events and providing decision-support tools to help us respond more effectively. AI can also play a critical role in increasing our resilience to the effects of climate change by helping us identify risk factors and develop plans to mitigate them. Public- and private-sector leaders see the greatest business value in reducing and measuring ... [+] emissionsBCG Climate AI survey, May 2022 The most urgent need in this context is not to have more powerful AI but to become smarter at where and how we use AI. There are so many unexplored opportunities, states Lambert Hogenhout, Chief Data Analytics, Partnerships and Technology Innovation at the Office for Information and Communications Technology (OICT). This sentiment embodies the consensus among many experts in the field: that we need to be more strategic about where and how we deploy AI to make the most impact. Therefore, a new framework for climate AI is vital to focus the debate on investments and innovation in space. "To effectively address the underlying drivers and risks of our excessive reliance on fossil fuels, we need to embrace a mosaic of innovative solutions. AI sits at the center of that mosaic and is already contributing to massively increased transparency, faster gains in efficient power generation and storage, and a renewed confidence in large-scale investments, states James Hodson, CEO of AI for Good Foundation. The Framework For Using AI in Combating Climate Change, shown below, was developed by BCG for the latest AI for the Planet Report with input from experts on the AI for the Planet Advisory Board. The framework comprises three main themes: mitigation, adaptability and resilience, and fundamentals. Mitigation and fundamentals are critical to our efforts to combat climate change, but adaptability and resilience are necessary for ensuring that people and the economy can withstand the effects of climate change today. True resiliency will require us to take a systems-level view of the world and use AI to help us identify risks,

forbes.com

AI Is Essential for Solving the Climate Crisis The changing climate will have a major impact on environmental, social, and economic systems around the globe. We are already experiencing many of its environmental effects, from longer droughts to more destructive storms.Mitigation is therefore critical, including efforts to achieve net-zero emissions by 2050. However, minimizing the harm will also require increasing our efforts at adaptation and resiliencefrom immediate crisis response to long-term planning. Further, these efforts will require support from activities such as research, finance, and education.AI as a tool is uniquely positioned to help manage these complex issues. Due to its capacity to gather, complete, and interpret large, complex datasets on emissions, climate impact, and more, it can be used to support all stakeholders in taking a more informed and data-driven approach to combating carbon emissions and building a greener society. It can also be employed to reweight global climate efforts toward the most at-risk regions. (See Addressing the Needs of the Global South.) Over three billion people live in areas that are highly vulnerable to climate risk, such as in Small Island Developing States, South Asia, and much of Africa, according to the IPCC. These regions tend to be hardest hit, typically through extreme weather events such as prolonged droughts and hurricanes or through sea-level rise along coastal areas or island countries, as confirmed in the April 2022 S&P Global report Weather Warning: Assessing Countries Vulnerability to Economic Losses from Physical Climate Risks. Such high vulnerability is particularly notable given that these regions have historically contributed relatively few of the global emissions that lead to elevated climate risk.Yet, climate change efforts are currently neglecting the needs and priorities of these areas of the Global South. One reason is the lower concentration of wealth and resources there, such that it lags the Global North in adaptation and resilience. Another is that AI research is predominantly run out of research institutes and corporations in the Global North. Even among AI solutions that emphasize the UN Sustainable Development Goals, in fact, over 80% are from the Global North, per the International Research Centre on Artificial Intelligence.Not only does this focus on the Global North risk the creation of blind spots in AI research and development, but it prevents promising AI solutions from being applied in the contexts where they are most needed. As Sally Radwan, former artificial intelligence advisor to the Egyptian Ministry of Communications and Information Technology, explains, Models designed and optimized for Global North countries do not necessarily apply well to specific conditions in other countries.As a planet, we cannot afford to continue along this path, developing solutions that do not address the needs of the Global South or improve the lives of the billions living there. Instead, AI research and development must ensure that the solutions developed are relevant for the priorities of public- and private-sector leaders and populations in the Global South.In addition, these regions must be given access to the relevant solutions, along with the capacity building to train those who use them, if we are to ensure that the solutions are put into practice. The best approach is to build capacity in different regions, Radwan adds, helping countries develop models that work in their local context and exchanging knowledge and learnings informed by local expertise. This may mean bridging gaps in data availability and making solutions designed for a high-data-availability environment work in a context with less data.We also need to make global resources available to AI solutions developed in the Global South to ensure that those projects reach their full potential. Similarly, connecting projects developed in the Global North to practitioners and users in the Glob

bcg.com

August 26, 2023 / 7:00 AM EDT / CBS News As the use of artificial intelligence grows and societies ponder how to use the powerful tool to improve our lives, increase productivity and tackle our most pressing challenges, few have considered its effects on the environment.While some have highlighted the technology's potential to help tackle environmental challenges, others point out that we must first understand AI's own carbon footprint.Proponents of technological advances like cryptocurrency were quick to celebrate its potential to reduce carbon emissions, only to be refuted by wasteful practices like Bitcoin mining due to their enormous energy demands. But experts largely see AI as a positive development, with the United Nations Environment Program lauding it as a tool that could improve our understanding of our environmental impact and the effects of climate change.AI can be used to sift through large amounts of data, like satellite images researchers use to monitor climate change, said Sasha Luccioni, who works analyzing AI models for sustainability. With the help of AI, scientists can better model climate patterns, identify trends and make predictions so they can have a clearer understanding of climate change and effective mitigation strategies. Other potential applications include using artificial intelligence to conserve water, fight wildfires and even identify and recover recyclables."There are a lot of really cool applications of AI in different sectors of climate change everything from optimizing electricity grids to tracking biodiversity," Luccioni said.But some experts are looking at the carbon footprint of AI itself. For them, companies hoping to deploy AI should be transparent about its environmental impact and how they are addressing it.What is AI's carbon footprint and why is it worrying some environmental advocates?AI's overall carbon footprint is difficult to measure, but it starts with the computers it uses. The raw materials needed to create computer hardware are mined and "that can be really labor intensive and also environmentally expensive," Shaolei Ren, associate professor of electrical and computer engineering at the University of California, Riverside, said. Once developers have the hardware they need, training an AI model can consume a lot of energy. AI companies don't tend to share how much energy is used, but researchers have taken guesses based on the data available to them. One non-peer-reviewed study, led by Ren and other experts, estimates that training GPT-3, which powers a language model of ChatGPT, could potentially have consumed 700,000 liters of freshwater. The water used to prevent data centers from overheating is usually evaporated, which means it can't be reused. Water cooling pump and pipes at a data center in the Lower Manhattan area of New York. STAN HONDA/AFP via Getty Images There's also the carbon emissions. Researchers at the University of Massachusetts, Amherst found the training process for a single AI model can emit more than 626,000 pounds of carbon dioxide. That's about the same amount of greenhouse gas emissions as 62.6 gasoline-powered passenger vehicles driven for a year. Carbon dioxide makes up the vast majority of greenhouse gas emissions, contributing to climate change by trapping heat in the atmosphere.After consulting these independent estimates, CBS News asked AI language models about the technology's carbon footprint.Bard, created by Google, said it was difficult to estimate accurately. ChatGPT, created by OpenAI, stressed that as an AI language model, it doesn't have a direct carbon footprint, but with an estimated 100 million monthly active users, there's a footprint connected to the electricity and computing resources needed to run the servers hosting and powering the model. (OpenAI did not respond to requests for comment for this story.)Microsoft, which has invested billions of dollars into OpenAI, declined to share estimates for the carbon footprint involved

cbsnews.com

Hãy giúp tôi làm một bài nói như này với chủ đề về hình thức khủng bố: thuốc nổ và bom tự chế.

Chào mừng quý vị và các bạn đến với bài nói về chủ đề nghiêm trọng đang diễn ra trên toàn thế giới - hình thức khủng bố bằng thuốc nổ và bom tự chế.

Hình thức khủng bố này không chỉ xảy ra duy nhất ở các khu vực đang chiến tranh, mà còn nơi ở khắp nơi trên thế giới. Các nhóm khủng bố sử dụng thuốc nổ và bom tự chế vì chúng dễ sản xuất, phạm vi phá hủy lớn và dễ giấu diếm.

Đầu tiên, thuốc nổ và bom tự chế thường được sử dụng tại các sự kiện hàng loạt, nhằm gây nên sự hoảng loạn và kích thích mức độ bất ổn. Những loại thuốc nổ tự chế này thường được sản xuất từ các thành phần dễ tìm kiếm, và có thể được kết hợp để tạo ra sức nổ mạnh.

Thứ hai, khi sử dụng chúng trong các hình thức tấn công, thì cảnh sát và các nhóm chức năng thường khó khăn để dự đoán và ngăn chặn. Điều này là do việc sử dụng nhng vật liệu khác nhau cho bom tự chế, từ các hóa chất trong nhà bếp cho đến phát hiện các loại thuốc nổ công nghiệp.

Tuy nhiên, chúng ta không nên bỏ cuộc trong việc ngăn chặn những hành động khủng bố này. Chúng ta cần tăng cường an ninh, đào tạo tốt hơn cho cán bộ cảnh sát, và cung cấp cho họ công cụ phân tích dữ liệu để ngăn chặn hiệu quả hơn những tấn công này.

Hơn thế nữa, chúng ta cần tăng cường sự hiểu biết của cộng đồng v hình thức khủng bố này, cung cấp cho họ biết cách nhận biết và báo cáo cho chính quyền khi nhận thấy bất cứ sự bất thường nào.

Chúng ta không thể chấp nhận hành vi khủng bố trong bất kỳ hình thức nào, và cần cùng nhau hợp tác để chống lại hình thức khủng bố này.

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dhs.gov

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nationalsecurity.gov.au

Ammunition rigged for an IED discovered in Baghdad by the Iraqi Police during November of 2005 A U.S. Cougar which was struck by an approximately 90136kg (198300lb) directed charge IED during the Anbar campaign. The crew of the MRAP survived uninjured due to the vehicle's multiple blast protection features. An improvised explosive device (IED) is a bomb constructed and deployed in ways other than in conventional military action. It may be constructed of conventional military explosives, such as an artillery shell, attached to a detonating mechanism. IEDs are commonly used as roadside bombs, or homemade bombs. The term "IED" was coined by the British Army during the Northern Ireland conflict to refer to booby traps made by the IRA, and entered common use in the U.S. during the Iraq War.[1][2] IEDs are generally utilized in terrorist operations or in asymmetric unconventional warfare or urban warfare by insurgent guerrillas or commando forces in a theatre of operations.[3][4] In the Iraq War (20032011), insurgents used IEDs extensively against U.S.-led forces, and by the end of 2007, IEDs were responsible for approximately 63% of coalition deaths in Iraq.[5] They were also used in Afghanistan by insurgent groups, and caused over 66% of coalition casualties in the 20012021 Afghanistan War.[6][7] IEDs were also used frequently by the Liberation Tigers of Tamil Eelam (LTTE) in Sri Lanka during the Sri Lankan Civil War,[8][9] and by Ambazonian separatists in the ongoing Anglophone Crisis.[10] Background[edit] X-ray of a suitcase showing a pipe bomb and a laptop An IED is a bomb fabricated in an improvised manner incorporating destructive, lethal, noxious, pyrotechnic, or incendiary chemicals and designed to destroy or incapacitate personnel or vehicles. In some cases, IEDs are used to distract, disrupt, or delay an opposing force, facilitating another type of attack.[11] IEDs may incorporate military or commercially sourced explosives, and often combine both types, or they may otherwise be made with homemade explosives (HME).[citation needed] An HME lab refers to a Homemade Explosive Lab, or the physical location where the devices are crafted.[citation needed] An IED has five components: a switch (activator), an initiator (fuse), container (body), charge (explosive), and a power source (battery). An IED designed for use against armoured targets such as personnel carriers or tanks will be designed for armour penetration, by using a shaped charge that creates an explosively formed penetrator. IEDs are extremely diverse in design and may contain many types of initiators, detonators, penetrators, and explosive loads.[citation needed] Antipersonnel IEDs typically also contain fragmentation-generating objects such as nails, ball bearings or even small rocks to cause wounds at greater distances than blast pressure alone could.[citation needed] In the conflicts of the 21st century, anti-personnel improvised explosive devices (IED) have partially replaced conventional or military landmines as the source of injury to dismounted (pedestrian) soldiers and civilians.[citation needed] These injuries were reported in BMJ Open to be far worse with IEDs than with landmines resulting in multiple limb amputations and lower body mutilation.[12] This combination of injuries has been given the name "Dismounted Complex Blast Injury" and is thought to be the worst survivable injury ever seen in war.[13] IEDs are triggered by various methods, including remote control, infrared or magnetic triggers, pressure-sensitive bars or trip wires (victim-operated). In some cases, multiple IEDs are wired together in a daisy chain to attack a convoy of vehicles[14] spread out along a roadway. IEDs made by inexperienced designers or with substandard materials may fail to detonate, and in some cases, they detonate on either the maker or the placer of the device. Some groups, however, have been known to produce sophisticated devices constructed with components scavenged f

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