Doctor's husband'was watching X-rated videos in his house while daughter, two, died in roasting car outside' Dems hand out'Is he dead yet?' bracelet to child at Wisconsin farmers' market Warning over'life-threatening' storm brewing in Atlantic that could hit US Bella Hadid's health battle takes dark turn: Loved ones reveal hellish new details about'missing' model... as ominous texts emerge Florida's housing market is flashing a warning for the rest of the US America's saddest lost soul can no longer SPEAK and spends days hitting herself'after years of unspeakable abuse by gangs of men' Pete Hegseth's jet makes emergency landing after high-stakes NATO summit on Russia-Ukraine war'You will DIE if you do not remove your breasts', doctors screamed at me. I refused and tried a new experimental therapy instead... now I'm cancer-free Now scientists redefine'obese' - and they've made up to 60% more people'fat' Will Trump's Gaza peace deal fail? Policy expert MARK DUBOWITZ breaks down all the forces at play... and how the president can actually pull this off Shocking moment brazen gunman opens fire at Michigan businessman's Land Rover in daylight attack Astonishing interactive map lays bare where MILLIONS of homes will be submerged by water within a few years... are YOU at risk? America's most renowned'prophet' makes startling prediction about alien'mothership' Ugly divorce war between Mitt Romney's wealthy brother and estranged wife before she was found dead Virginia Guiffre calls Prince Andrew'entitled' and claims duke saw having sex with her as his'birthright' in autobiography released after her death Warning over'life-threatening' storm brewing in Atlantic that could hit US Meteorologists issued an alert on Thursday, warning of a tropical system forming in the Atlantic that could pose a threat in the coming weeks . AccuWeather is tracking a tropical wave off the coast of Africa, which is expected to reach the eastern Caribbean islands late this weekend. Tropical waves are clusters of scattered showers and thunderstorms that form over Africa or the Indian Ocean and slowly move west across the Atlantic Ocean.

AOC hit by shockingly crude sex insult by White House after she mocked'TINY' Stephen Miller Biden ordered CIA cover-up of his'corrupt' business ties to Ukraine, astonishing secret files show NYC girls aged 12 and 13 meet tragic end after going subway surfing across Williamsburg Bridge at 3.10am ERIC TRUMP: The darkest day in my dad's marriage to Melania... before the ugly truth was exposed More girls are starting their periods younger than ever before - scientists think they've finally found what's causing it Taylor Swift reveals truth behind raunchy song about Travis Kelce's manhood Meghan is accused of'giggling as model stumbles on the catwalk': More Paris Fashion Week disasters emerge, including awkward moment with Kristin Scott Thomas The TRUTH to the doting mother who slaughtered her children and husband told by those she'd been quietly tormenting for years The troubled background of delivery man stabbed by Mark Sanchez... as he launches million-dollar lawsuit and sparks civil war at Fox Revealed: Which slimming jab REALLY works best. The doctors' ultimate expert guide on which to pick, how to save money, beat every side effect... and what you need to know about the'golden dose' I haven't heard that name in so long' Ominous warning for humanity as birds suddenly adopt'unsettling' behavior And a humiliating lifeline: Backroom secrets of Taylor Swift and Blake Lively... after hit new song Bottled water contains dangerous levels of microplastics that lodge in vital organs and raise cancer risk', scientists warn A weather system developing right off the US East Coast could strengthen into a dangerous tropical storm in the coming days, experts have warned. Meteorologists said that this tropical rainstorm is expected to form quickly over the weekend, potentially bringing'prolonged coastal flooding' to the entire East Coast, from southern Florida to New England. The National Hurricane Center (NHC) has noted that the next two Atlantic storm names will be Jerry and Karen, with Jerry likely to form farther away from the US this week. As for the storm that could become Karen, forecasters have already predicted that North Carolina, Virginia, and Maryland are expected to get heavy rainfall between Friday and Saturday.

Understanding Japan's system for classifying typhoons can be a challenge. For one, it differs from that used for hurricanes, and there are also differences in how the storms are discussed in English versus Japanese. As Typhoon Shanshan -- which as of Friday became Tropical Storm Shanshan -- moves toward Shikoku, it marks a good time to brush up on the terminology. When checking the news about typhoons in Japan, you may see comparisons to hurricane categories. Essentially, a hurricane and typhoon are the same weather phenomenon -- a tropical cyclone.

Building on recent research for prediction of hurricane trajectories using recurrent neural networks (RNNs), we have developed improved methods and generalized the approach to predict Bayesian intervals in addition to simple point estimates. Tropical storms are capable of causing severe damage, so accurately predicting their trajectories can bring significant benefits to cities and lives, especially as they grow more intense due to climate change effects. By implementing the Bayesian interval using dropout in an RNN, we improve the actionability of the predictions, for example by estimating the areas to evacuate in the landfall region. We used an RNN to predict the trajectory of the storms at 6-hour intervals. We used latitude, longitude, windspeed, and pressure features from a Statistical Hurricane Intensity Prediction Scheme (SHIPS) dataset of about 500 tropical storms in the Atlantic Ocean. Our results show how neural network dropout values affect predictions and intervals.

Researchers from China and South Korea have created an AI that can predict El Niño up to 18 months before it occurs. El Niño is a weather event that can occur every 2-7 years, where the area of warmer water in the western Pacific Ocean around Australia spreads across the Pacific. This leads to warmer air rising across the Pacific, causing severe rainfall and drastically changing wind direction and strength across the Pacific. This has huge knock on effects on weather worldwide. El Niño can cause colder winters in northern Europe and droughts in countries such as Australia and Malaysia.

A deep learning convolutional neural network model is used to explore the possibilities of estimating tropical cyclone (TC) intensity from satellite images in the 37- and 85–92-GHz bands. The model, called "DeepMicroNet," has unique properties such as a probabilistic output, the ability to operate from partial scans, and resiliency to imprecise TC center fixes. The 85–92-GHz band is the more influential data source in the model, with 37 GHz adding a marginal benefit. Training the model on global best track intensities produces model estimates precise enough to replicate known best track intensity biases when compared to aircraft reconnaissance observations. Model root-mean-square error (RMSE) is 14.3 kt (1 kt 0.5144 m s 1) compared to two years of independent best track records, but this improves to an RMSE of 10.6 kt when compared to the higher-standard aircraft reconnaissance-aided best track dataset, and to 9.6 kt compared to the reconnaissance-aided best track when using the higher-resolution TRMM TMI and Aqua AMSR-E microwave observations only. A shortage of training and independent testing data for category 5 TCs leaves the results at this intensity range inconclusive. Based on this initial study, the application of deep learning to TC intensity analysis holds tremendous promise for further development with more advanced methodologies and expanded training datasets. If you would like to learn more about this work check out the publication titled, "Using Deep Learning to Estimate Tropical Cyclone Intensity from Satellite Passive Microwave Imagery". If you would like to learn more about models for predicting tropical storms, checkout this presentation by NASA titled, "Tropical Cyclone Intensity Estimation Using Deep Convolutional Neural Networks".

It takes approximately 40 minutes for 82,944 processors on the world's fastest computer to compute what one percent of our brain calculates in a second. Despite this lag, AI has more promising solutions than humans when it comes to addressing the issue of climate change. Climate change is a serious issue that needs immediate attention across the globe. Compelling pieces of evidence that point towards a bleak future include a rise in global temperatures, extreme events, shrinking of the ice sheet, warming oceans, sea level rise, and ocean acidification. There are several good reasons for us to believe that the fourth industrial revolution powered by AI is a perfect opportunity for researchers to embrace AI as a transformative tool to address this grave issue.

The disastrous impact of recent hurricanes, Harvey and Irma, generated a large influx of data within the online community. I was curious about the history of hurricanes and tropical storms so I found a data set on data.world and started some basic Exploratory data analysis (EDA). EDA is crucial to starting any project. Through EDA you can start to identify errors & inconsistencies in your data, find interesting patterns, see correlations and start to develop hypotheses to test. For most people, basic spreadsheets and charts are handy and provide a great place to start.

The National Oceanic and Atmospheric Administration is predicting an above-normal 2017 Hurricane Season, with five to nine hurricanes -- two to four of them Category 3 (winds at least 111 mph) or stronger. The weakness or absence of storm-suppressing El Niño climate conditions, combined with above-normal ocean surface temperatures and average or weaker vertical wind shear across the Caribbean and Atlantic Coast are factors pointing to an active hurricane season, said Ben Friedman, acting NOAA administrator. They expect that three named storms will make landfall in the U.S. April's Tropical Storm Arlene was a rare preseason storm, but it was also an indication of an active season ahead, Friedman said Thursday during a news conference at the NOAA Center for Weather and Climate Prediction in College Park, Md. In the 25 years since Category 5 Hurricane Andrew hit South Florida, forecasting accuracy has improved 65%, said Mary Erickson, deputy director at the National Weather Service.