If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Agriculture is at the forefront of climate change. As temperatures, humidity, and rainfall patterns shift, agricultural businesses around the globe -- from family farms to multinational enterprises -- will be tremendously affected, whether through soil chemistry, insect migration, or other factors threatening crop quality and yields. To prepare, agribusinesses need to understand the potential impact on their land and crops. For every agricultural enterprise, from farmers to vineyards to producers of seeds, animal feed, or biofuels, knowing the potential changes in yield coming down the road -- along with the drivers of those changes -- could allow them to optimize their agricultural practices, making them more adaptable and resilient. In addition, knowing the drivers of crop quality would help them improve profits and increase their ability to anticipate the need for crop conversion.
Climate change is one of the biggest problems of the 21st century. Human activities are affecting the environment and are releasing excess CO2 and other greenhouse gasses causing serious problems like temperature rise, global warming, etc. This is saying that Artificial intelligence can help mankind against climate change and global warming. Different countries are taking steps to fight against climate change, but these are not enough because many are not showing their interest. According to the different reports, the glaciers of Antarctica are melting rapidly.
I refer to the Opinion piece "How AI can strengthen food resilience" (March 17). While I appreciate that artificial intelligence (AI) can help to strengthen Singapore's food resilience, I am disappointed that the authors did not also provide its limitations, and more importantly, other critical factors that can severely impact Singapore's food resilience. Take Singapore's vertical farms for vegetables and fish as an illustration. These vertical farms are energy intensive. Indoor plants need artificial lighting and environment control; indoor fish farms, otherwise known as recirculating aquaculture systems, need recirculating pumps, filtration systems, oxygenation systems, and so on, all of which are energy intensive.
Beijing – China and the United States will set up a joint working group on climate change, China's official Xinhua News Agency said, in a potentially positive takeaway from what was an unusually rancorous high-level meeting. The top Chinese and U.S. diplomats, in their first meeting of Joe Biden's presidency on Thursday and Friday, publicly rebuked each other's policies at the start of what Washington called "tough and direct" talks in Alaska. But the Chinese delegation said after the meeting the two sides were "committed to enhancing communication and cooperation in the field of climate change," Xinhua said on Saturday. They would also hold talks to facilitate the activities of diplomats and consular missions, "as well as on issues related to media reporters in the spirit of reciprocity and mutual benefit," the report said. The U.S. Embassy in Beijing did not immediately respond to an email seeking comment on Sunday.
Governments, investors and business leaders need to adopt practical solutions that can be deployed across the world at scale. The arrival of 5G along with wider adoption of AI technology into the physical world will make it possible to substantially enhance the opportunities to scale cleaner energy generation technologies, enable efficiency gains in manufacturing, our homes, retail stores, offices and transportation that will enable substantial reductions in pollution. Policies that incentivise the accelerated development and deployment of Industry 4.0 solutions will require politicians and regulators to better understand the opportunities that 5G alongside AI will enable. The OECD published a paper "What works in Innovation Policy" and observed that "Policies ignoring or resisting the industrial transition have proven to be not just futile but result in an innovative disadvantage and weak economic performance." Entering the new year will allow us to develop and deploy solutions for the 2020s that make use of the next industrial revolution with 5G and AI to enable dramatic efficiency gains across all sectors of the economy and to enhance renewable energy generation. The emergence of India, China and others as industrial economic powers is occurring at a time when we now know the damage that such pollution causes and hence there is a need to work together, collaboratively to solve a global problem. Embracing technological change and enhancing its capabilities to deliver better living standards alongside sustainable development is the best option for those who really want to make an impact on climate change at scale in the 2020s and beyond. I wish to thank Henry Derwent, former advisor to Prime Minister Margaret Thatcher and former CEO of IETA for his efforts to promote technological innovation and scaled up financing with Green Bonds.
The difficulty of pulling the world together to react collaboratively in the face of an urgent existential threat has been thoroughly demonstrated over the past year. The coronavirus pandemic has made it clear, even in countries not struggling with Brexit-related upheaval, just how hard it is to overcome the instinct to embrace nationalism when it comes to controlling outbreaks and sharing vaccines. The bigger problem we must tackle as part of post-pandemic recovery is climate change, which will require all that elusive collaboration, and more. Yet in numerous countries governments not only fail to collaborate with each other, but they also fail to respond to their own citizens' needs. The need for broad-picture thinking to address these gaps is the central thesis of two Open University academics -- professor of systems Ray Ison and visiting fellow Ed Straw -- in The Hidden Power of Systems Thinking: Governance in a Climate Emergency.
Insurance industry is one of the most vulnerable sectors to climate change. Assessment of future number of claims and incurred losses is critical for disaster preparedness and risk management. In this project, we study the effect of precipitation on a joint dynamics of weather-induced home insurance claims and losses. We discuss utility and limitations of such machine learning procedures as Support Vector Machines and Artificial Neural Networks, in forecasting future claim dynamics and evaluating associated uncertainties. We illustrate our approach by application to attribution analysis and forecasting of weather-induced home insurance claims in a middle-sized city in the Canadian Prairies.
Thomas Jefferson, the American statesman and third US president, was many things (including, notoriously, a slave-owner). But whatever else he was (or wasn't), he was a firm believer in what he called the "suffrage of the people" -- what today we'd call democracy. The democracy he had in mind, of course, wasn't a truly "general suffrage" of all citizens: in its most ambitious form it enfranchised only male taxpayers and soldiers. It was also far removed from the classical ideal set by Ancient Athens, in which all eligible citizens gathered regularly to debate and settle policy. Still, even Jefferson's limited and strictly "representative" version of democracy required something vital if it was to function properly: not just an able and knowledgeable public service, but a well-informed voting public.
It's "time to wake up and do a better job," says publisher Tim O'Reilly--from getting serious about climate change to building a better data economy. And the way a better data economy is built is through data commons--or data as a common resource--not as the giant tech companies are acting now, which is not just keeping data to themselves but profiting from our data and causing us harm in the process. "When companies are using the data they collect for our benefit, it's a great deal," says O'Reilly, founder and CEO of O'Reilly Media. "When companies are using it to manipulate us, or to direct us in a way that hurts us, or that enhances their market power at the expense of competitors who might provide us better value, then they're harming us with our data." And that's the next big thing he's researching: a specific type of harm that happens when tech companies use data against us to shape what we see, hear, and believe. It's what O'Reilly calls "algorithmic rents," which uses data, algorithms, and user interface design as a way of controlling who gets what information and why. Unfortunately, one only has to look at the news to see the rapid spread of misinformation on the internet tied to unrest in countries across the world. We can ask who profits, but perhaps the better question is "who suffers?" According to O'Reilly, "If you build an economy where you're taking more out of the system than you're putting back or that you're creating, then guess what, you're not long for this world." That really matters because users of this technology need to stop thinking about the worth of individual data and what it means when very few companies control that data, even when it's more valuable in the open. After all, there are "consequences of not creating enough value for others." We're now approaching a different idea: what if it's actually time to start rethinking capitalism as a whole? "It's a really great time for us to be talking about how do we want to change capitalism, because we change it every 30, 40 years," O'Reilly says. He clarifies that this is not about abolishing capitalism, but what we have isn't good enough anymore. "We actually have to do better, and we can do better. And to me better is defined by increasing prosperity for everyone."
Eugenie was incepted with an intent to solve two of the biggest problems the process industry faces today. First was the democratization of data-driven insights to drive complex operational decisions with a bottom-line impact. Second, to build an eco-system that leverages both human and machine intelligence to improve reliability, efficiency, and sustainability of assets as well as processes. Eugenie's unique decision intelligence and execution platform enables enterprises to make efficient and optimal operational decisions about their assets and processes. The company addresses issues related to anomalies in operations such as unscheduled downtime detection, production quality issue detections, process-deviation detection, etc., using its descriptive, prescriptive, and predictive analytics products.