I have a perhaps inappropriate, anthropomorphic relationship with whatever robot vacuum is running in my house. No matter how much trouble they cause me--if they get trapped in the ledge by the fireplace or lost under the couch--I never forget that it's here to help me battle the chaotic mess that my two kids and two dogs perpetrate upon me daily. Have I convinced you that you need one, too? You're in luck because the Amazon Prime Day vacuum deals lineup includes five of my top picks. Whether you need an all-in-one cleaning station, a simple picker-upper after dinner, or one with an air freshener, we have you covered.

Abstract: Water is a necessary fluid to the human body and automatic checking of its quality and cleanness is an ongoing area of research. One such approach is to present the liquid to various types of signals and make the amount of signal attenuation an indication of the liquid category. In this article, we have utilized the Wi-Fi signal to distinguish clean water from poisoned water via training different machine learning algorithms. The Wi-Fi access points (WAPs) signal is acquired via equivalent smartphone-embedded Wi-Fi chipsets, and then Channel-State-Information CSI measures are extracted and converted into feature vectors to be used as input for machine learning classification algorithms. The measured amplitude and phase of the CSI data are selected as input features into four classifiers k-NN, SVM, LSTM, and Ensemble. The experimental results show that the model is adequate to differentiate poison water from clean water with a classification accuracy of 89% when LSTM is applied, while 92% classification accuracy is achieved when the AdaBoost-Ensemble classifier is applied.

I hate mopping, but I hate mopping robots more. And I especially hate robot vacuum-mop combos. During my years reviewing robot vacuums, I can't count how many times I've had to unhook a minuscule water bin off the bottom of a robot, fill it with a thimbleful of water, and watch it laboriously drag a barely moist towel across my kitchen floor. It never seemed worth the effort when you just could grab a Swiffer. My 7-year-old had just shaken sugar off her toast all over the kitchen floor, so once she was off to school, I moved some chairs out of the way and plugged the mopping attachments onto the X1 Omni's bottom.

Human settlement has always been dependent on a stable supply of clean water nearby. With the increase in global population and a decline in the quality of our freshwater resources, we are constantly looking for technologies that will ensure a reliable supply of clean water. The Union Budget 2021-22 announced Jal Jeevan Mission (Urban) to bring safe water to 2.86 Cr households through tap connection. This in line with the Centre's rural water supply project launched in 2019. Finance minister Nirmala Sitharaman announced an outlay of INR 50,011 Cr for this scheme.

Sussing out water potability in the field is sometimes nigh impossible, depending on the remoteness of the region. The United Nations estimates that 2 million tons of sewage and industrial and agricultural waste are discharged into the world's water supply each day. And while a range of chemical kits can test for bacterial risks, not all are equally thorough. Even with recent technological advances, water pollution leads to roughly 9 million premature deaths a year and 16% of all deaths worldwide. This motivated a pair of researchers at the Thomas Jefferson High School for Science and Technology and the Department of Computer Science at the University of Maryland to investigate an AI-powered Android app capable of detecting water impurity, which they describe in a newly published paper on the preprint server Arxiv.org

After catastrophic wildfires in southern California late last year, the Israeli startup Watergen sent in its devices which pull clean water out of the atmosphere for firefighters and relief workers. The machines, which have been deployed in other global disaster areas, were among the technologies on display at the 2019 Consumer Electronics Show to highlight innovations which can be used in various kinds of relief efforts. "We clean the air because it's much easier to clean air than it is to clean water," said Yehuda Kaploun, president of Watergen USA, who was demonstrating the device at the annual Las Vegas extravaganza which ends Friday after showcasing futuristic innovations. Watergen claims its technology--offered in a commercial-size Gen-350 and a consumer version known as Genny--has many applications for emergency response and helping the many millions who lack potable water. The exhibits showcased a broad array of "tech for good" services which use robotics, drones, artificial intelligence and the like.

"Clean water and health care and school and food and tin roofs and cement floors, all of these things should constitute a set of basics that people must have as birthrights."1 Obtaining clean water is a critical problem for much of the world's population. Testing and confirming a clean water source typically requires expensive test equipment and manual analysis of the results. For regions in the world in which access to clean water is a continuing problem, simpler test methods could dramatically help prevent disease and save lives. To apply artificial intelligence (AI) techniques to evaluating the purity of water sources, Peter Ma, an Intel Software Innovator, developed an effective system for identifying bacteria using pattern recognition and machine learning.

Among the many topics discussed at this year's World Economic Forum in Davos, artificial intelligence ((AI() was pervasive throughout the multi-day meeting of some of the most powerful business people and political leaders in the world. The head of Google, Sundar Pichai, even went as far as saying that it was more important to humanity than fire or electricity. That's a bold claim, but Pichar may end up being right. Three of the big problems that companies are using AI to help address are disease and medical errors, feeding a growing population and access to clean water. The top three killers in the U.S. are heart disease, cancer and… medical errors?

Two years ago, I watched every single Super Bowl, so I can say with absolute certainty that, for whatever reason, America's most-watched sports event is usually a terrible football game. This, I suspect, is one of the reasons why Americans have come to care so much about Super Bowl ads: They know that while the game will probably fall short of its hype, at least they'll see a few entertaining commercials. Last year's Super Bowl reversed that trend, with a great game surrounded by a bunch of lackluster ads. This year's Super Bowl followed suit. While the game itself was an all-time classic--easily top 10, maybe even top five--this year's ads were a poor crop. For every humorous or striking one, there were at least three others that were boastful, cloying, cringeworthy, or misguided.

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. For one thing, the workforce behind our waterworks is aging, at least within the public water utility sector, which is composed of an astounding 50,000 individual systems. "Lots of senior engineers are 30 years into their job and are reaching retirement," says Will Maize, a water industry analyst with market research firm Bluefield Research.