Weeks ago my Twitter timeline was full of negative stories. My timeline was so full of negative content that I started thinking Twitter was full of hate:_( That's why I decided to get some metrics to see if my intuition was right. With the help of Mª Asunción Jiménez Cordero, a PhD student specialized in Machine Learning, we developed a Spark application written in Scala to analyze real-time tweets and classify them as negative, positive or neutral using Support Vector Machine. In this post, we'll tell you how we developed this app in order to get the results you can find at https://pedrovgs.github.io/Roma/. Let's split this post in the different challenges we faced!

The sensor technology that helps athletes avoid injury and improve performance can bring benefits to the enterprise. Professional football in the United States is reaching a fever pitch, with the playoffs concluded and fans looking to the Super Bowl next month. When you hear the crush of helmets while you're watching, think sensors. On the football field, in the enterprise, and beyond, organizations are using sensors to keep employees safe, to enhance their performance, and to improve employee satisfaction. For example, a team doctor could know that a player has a concussion before the player even hits the ground.

Are you a data analyst, data scientist, or a researcher looking for a guide that will help you increase the speed and efficiency of your machine learning activities? If yes, then this course is for you! Google's brainchild TensorFlow, in its first year, has more than 6000 open source repositories online. It has helped engineers, researchers, and many others make significant progress with everything from voice/sound recognition to language translation and face recognition. It has also proved to be useful in the early detection of skin cancer and preventing blindness in diabetics.

For some, the spread of artificial intelligence and robotics poses a threat to our privacy, our jobs – even our safety, as more and more tasks are handed over to silicon-based brains. The 21st Century is continually throwing us new challenges and expecting us to adapt – but for every earth-shattering megatrend, there are dozens of genius solutions. Follow them all in BBC Future's special series, Grand Ideas. But even the most vocal critics highlight the potential good that AI and automated systems could do for humanity. As part of BBC Future Now's Grand Challenges, a panel of experts recently described how they saw our world changing as the machines we use grow smarter.

The city of Atlanta tested a self-driving vehicle on one of its busiest streets Thursday. The test on North Avenue in the city's bustling Midtown area meant that Atlanta has become one of the largest urban areas to test autonomous vehicles, joining Sao Paulo and Shanghai. Here's a look at some of the key aspects of the test and the issues involved: The test was aimed at showing how an autonomous vehicle would navigate in real-world traffic. On Thursday, a Tesla vehicle made multiple trips along an approximately 1-mile-long (1.6-kilometer-long) route as members of the media rode along. Tesla was not officially involved with the test.

With recent advances in science and technology, particularly in machine learning, organizations need to adopt more comprehensive analytics strategies rather than basic analytics as large volumes of data is needed to be analyzed. Predictive learning is a technique of machine learning which aims to build a model that makes predictions based on evidence in the presence of uncertainty. It can be called as an attempt to learn with a minimum of pre-existing mental structure. Predictive learning helps in solving real world's problems in economics, business and government sector. Apart from this, it can be applied to a range of businesses to influence the future strategies including BFSI companies on account of escalating incidences of defaulters and stringent regulations for ensuring compliance with banking principles.

Big data can mean big business. But as Texas copes with the destruction of Hurricane Harvey, which ravaged the state late last month, and with Irma barreling over the Caribbean toward Florida, and Mexico shaken by the most powerful earthquake in 100 years, can mining vast amounts of data also help save lives from the fury of natural disasters? Find and rescue victims from rubble? Governments are looking to the same sophisticated analytics techniques that are predicting -- with fast-improving accuracy -- the paths and destruction potential of increasingly fearsome storms to better prepare for and tend to their constituents' needs during calamities. But whether such data-driven decision-making is actually making a difference is, in 2017, an open question.

Toronto Diary: Ethan Hawke plays a man of the cloth in the haunting'First Reformed' Los Angeles Times critic Justin Chang on the double-Rachel feature (Rachel McAdams and Rachel Weisz) "Disobedience" and how TIFF 2017 has been a showcase of acting talent for the actress leads. Los Angeles Times critic Justin Chang on the double-Rachel feature (Rachel McAdams and Rachel Weisz) "Disobedience" and how TIFF 2017 has been a showcase of acting talent for the actress leads. 'First Reformed,' 'Downsizing' bring climate change to the fore "Will God forgive us for destroying his creation?" The man asking the question is the Rev. Toller (Ethan Hawke), an ex-military chaplain-turned-rural minister who finds himself undergoing a profound crisis of faith. He has already lost a son and a wife, and his insides are rotting from cancer, all of which might well drive even a devout believer to feel that God has abandoned him. But what genuinely haunts Toller, and inspires him to consider an act of extreme, violent desperation, is his eye-opening encounter with Michael (Philip Ettinger), a militant eco-activist who is terrified by the prospect of humanity's mass extinction. "First Reformed," Paul Schrader's somber, beautifully composed and entirely mesmerizing new drama, is not a work of particular subtlety. Its moral argument is as clear and crystalline as its images, shot by cinematographer Alexander Dynan in the nearly square academy-aspect ratio. The severity of Toller's convictions, as well as his disgust at the knowledge that his church has taken money from one of the town's biggest polluters, gives rise to an angry, confrontational question: Why have so many Christians rejected the science of climate change, effectively abdicated their God-given responsibility to look after the Earth?

The survey conducted on leading banks and financial institutions across the world shows interesting developments and interest in the artificial intelligence (AI) sphere. Tata Consultancy Services (TCS) surveyed 182 banking and financial bodies (85 in North America, 65 in Europe, 28 in Asia-Pacific and 4 in Latin America). In total, 835 executives took part across 13 sectors such as automotive, energy and insurance, to name a few. The banking and financial services (BFS) institutions taking part produced some interesting results. Over four-in-five companies (86%) are now using AI with the remaining 14% planning to apply it by 2020.

They all have to be tested before they roll out into the world, not only to meet government regulations but to verify adherence to a host of voluntary standards, like WiFi, Bluetooth, ZigBee, Thread and others. That is a lot of testing. And that's why TUV Rheinland recently opened a huge Silicon Valley test facility in Fremont, Calif. It's important for testing to be near the design teams, says TUV Rheinland's Sarb Shelopal, the company's global director of wireless and IoT testing. Distance, he says--and Silicon Valley's traffic--is a big deal when companies are trying to move fast.