This was Bezos' third year of MARS, a private, three-day collection of presentations and conversations on machine learning, automation, robotics, and space exploration. To prevent third party apps from accessing your data, you can head over to the apps, websites, and plugins square, click on "edit," and then turn off all third-party API access. As extreme weather becomes the norm and huge food companies talk up the need for better water conservation, treatment and consumption strategies, interest in smart irrigation technologies is reaching new levels. Preserving water and catering to water quality is a necessity, and data can help do that. The three largest U.S. banks by assets have added more than $2.4 trillion in domestic deposits over the past 10 years, a 180% increase.
We've all heard data is the new oil a thousand times by now. Arguably though, we can all live without data, or even oil, but there's one thing we can't do without: water. Preserving water and catering to water quality is a necessity, and data can help do that. On the occasion of World Water Day, ZDNet discussed the use of data to preserve water with Gary Wong. Wong is the Global Water Industry Principal for OSIsoft, and was recently named one of the world's 50 most impactful leaders in water & water management.
Conversation interfaces (CIs), or chatbots, are a popular form of intelligent agents that engage humans in taskoriented or informal conversation. In this position paper and demonstration, we argue that chatbots working in dynamic environments, like with sensor data, can not only serve as a promising platform to research issues at the intersection of learning, reasoning, representation and execution for goal-directed autonomy; but also handle non-trivial business applications. We explore the underlying issues in the context of Water Advisor, a preliminary multi-modal conversation system that can access and explain water quality data.
Many naysayers claim that artificial intelligence could destroy the world, often using the storyline in The Terminator to prove their point. In reality, AI can do more to save the world. Fortunately, it seems as though more people are beginning to understand the benefits of AI rather than fearing it. For example, Strategy Analytics found that 41 percent of consumers surveyed believed that AI would "enrich" their lives.
Many naysayers claim that artificial intelligence could destroy the world, often using the storyline in "The Terminator" to prove their point. In reality, AI can do more to save the world. Fortunately, it seems as though more people are beginning to understand the benefits of AI rather than fearing it. For example, Strategy Analytics found that 41 percent of consumers surveyed believed that AI would "enrich" their lives.
It's easy to take water for granted. Turn on the tap, and you'll receive clean, life-giving water (with some very notable exceptions). But for a myriad of reasons, ranging from our changing climate to aging infrastructure to growing demands for water, all aspects of the water cycle -- how it is collected, cleaned, distributed (and repeat) -- are overdue for a technological makeover.
Water pollution is a major global environmental problem, and it poses a great environmental risk to public health and biological diversity. This work is motivated by assessing the potential environmental threat of coal mining through increased sulfate concentrations in river networks, which do not belong to any simple parametric distribution. However, existing network models mainly focus on binary or discrete networks and weighted networks with known parametric weight distributions. We propose a principled nonparametric weighted network model based on exponential-family random graph models and local likelihood estimation and study its model-based clustering with application to large-scale water pollution network analysis. We do not require any parametric distribution assumption on network weights. The proposed method greatly extends the methodology and applicability of statistical network models. Furthermore, it is scalable to large and complex networks in large-scale environmental studies and geoscientific research. The power of our proposed methods is demonstrated in simulation studies.
Envirobot - a robotic eel that can swim through contaminated water to find the source of pollution - is being developed at EPFL in Switzerland. A link has been posted to your Facebook feed. Envirobot - a robotic eel that can swim through contaminated water to find the source of pollution - is being developed at EPFL in Switzerland.