Artificial Intelligence: Rescuing the Planet
The Impact of Artificial Intelligence on the Planet
We all care about the planet. It is our home, and we have an obligation to protect it. We have a serious issue at hand: climate change. If we do not solve this problem soon, it will be too late. It is time for us to take action and make serious changes in our lives so that we can save our planet from further destruction. In order to accomplish this goal, we need technology that can help us save the planet. Artificial Intelligence (AI) has been evolving rapidly over the past decade and it is now poised to revolutionize many industries including energy production, transportation, agriculture, healthcare, and more. This blog explores how AI can benefit the planet and how we can all contribute to this cause by using technology responsibly.
Who am I?
My name is Alexey Dosovitskiy, PhD student at ETH Zurich studying computer vision under supervision of Prof Dr Andreas Geiger and Dr Jonas Wulff. I am also a member of DeepMind Research Zurich where I focus on developing methods for training neural networks with synthetic data. I am interested in applying these techniques towards solving real world problems like climate change or poverty reduction through technological innovation.
Artificial Intelligence: Rescuing the Planet is about how AI can enhance the planet. It will cover topics such as how AI can help to combat climate change, help to find clean energy sources, reduce pollution, and so much more.
Humans have been trying to create machines that think for over a century. The dream of creating intelligent machines has been around even longer than that. Over the years there have been many false starts and failures. There is reason to believe that we may be on the verge of an AI spring; a time when artificial intelligence finally starts living up to its promise.
There are many ways that you can contribute to this blog:
You can write technical posts about algorithms and systems that use machine learning or other AI techniques in order to solve environmental problems.
You can write about policy issues related to AI and environmental protection laws.
You can write about ethical issues related to AI and the environment.
You can post links to news stories or articles that are relevant to the topic of this blog.
Artificial Intelligence (AI) technology is advancing at a rapid pace, and in many ways we are already surrounded by AI. It is estimated that within the next five years AI will be able to mimic human voice, write high school essays, drive trucks, perform medical diagnoses and surgeries, and make investment decisions.
The arrival of Artificial Intelligence as a mainstream technology has serious implications for employment and the economy. For example, according to a report in The Guardian, up to 35% of U.K. jobs could be placed at risk by AI over the next 20 years. However, it is not all negative news: there are opportunities for new types of employment that can result from deploying AI in different industries.
The impact of Artificial Intelligence on the environment is far less clear-cut. Some point out that AI can provide a tremendous benefit to the environment if it is applied in the right way to solve problems such as climate change and pollution. Yet others warn that developing more sophisticated AI could lead to an “AI arms race” where countries compete with one another to develop increasingly powerful autonomous weapons systems.
So what does this mean for the future? How should we manage this new technology in order for everyone to benefit? What can each of us do to make sure that Artificial Intelligence
Educators are increasingly aware that the current education system is not enough to keep up with the rapid pace of change in the world. There is an increasing need for a curriculum that will enable students to adapt to an uncertain future. We believe Artificial Intelligence (AI) could be one of the key subjects that help students prepare for this future. In this post, we’ll explain why we think AI is such a promising subject and how you can incorporate it into your classroom.
What would you wish for? A life-changing amount of money, a super power or a flying car? For some, it may also be solving humanity’s biggest challenges – like climate change or hunger. Solving these problems requires innovation and creativity, but most importantly, action. But how do we get young people to care about such problems? And what if we taught them how to use technology as a tool to address them? This could be done by teaching them how to build their own Artificial Intelligence (AI) technology!
In our view, AI has the potential to become one of the most important subjects that youngsters learn at school in the coming decades. It could create new pathways for students to contribute to fighting climate change and other global challenges.
Artificial intelligence has been a dream and a nightmare for human beings. I have been working on AI technology, especially natural language understanding (NLU) for over 25 years, and this technology is ready.
Our mission at WePredict is to use AI technology to help companies and people make the world better. We will do this by helping people make informed decisions about how to improve the planet by using AI technology to analyze data and deliver insights in natural language. The first area we are focusing on is food, specifically water usage and carbon footprint of foods and meals.
We will start by building a web app that can answer questions like “How much water does it take to grow an apple?” or “How much carbon dioxide does it take to produce a glass of milk?” You can ask these questions in English and our app will analyze your question and answer you in natural language. This is NLU: the ability to understand what you say in English, analyze the data, then give you an answer in English that is correct based on the data.
Later we will extend this capability so you can ask more complex questions like “What should I eat for dinner tonight if I want to minimize my impact on the environment?” or “Which restaurant has meals with lower carbon footprints than
What is AI?
AI, or Artificial Intelligence, is an umbrella term for the ability of machines to intelligent process information, learn from data and perform advanced tasks that are characteristic of human intelligence. AI is distinct from robots, although humanoid robots can have AI and may have human-like intelligence.
AI (or “artificial intelligence”) is intelligence exhibited by machines. In computer science, an ideal “intelligent” machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”.
As machines become increasingly capable, tasks considered to require “intelligence” are often removed from the definition of AI, a phenomenon known as the AI effect. A quip in Tesler’s Theorem says “AI is whatever hasn’t been done yet.” For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology. Modern machine capabilities generally classified as AI include successfully understanding human speech, competing at the highest level in strategic game systems (such as chess and Go), autonomously operating cars,
There is a widespread belief that artificial intelligence and automation will have a dramatic impact on the job market, with many jobs disappearing and others requiring workers to develop new skills. One recent estimate forecasts that over the next 20 years, robots and AI could eliminate as many as 73 million US jobs.
Other experts believe that this concern is misplaced, not least because new technologies create as many jobs as they destroy. But what are these newly created jobs likely to be? A recent report by PwC (PDF) assessed the extent to which various occupations would be affected by automation and AI. The top five jobs in their list of those most at risk are bookkeepers, accountants, and auditors; retail salespeople; administrative assistants and secretaries; construction workers; and drivers.
The bottom five are therapists; higher education teachers; physicians and surgeons; chief executives and legislators; and engineers, architects, and surveyors.