Facial recognition technology is everywhere, and only becoming more pervasive. It's marketed as a security feature by companies like Apple and Google to prevent strangers from unlocking your iPhone or front door. It's also used by government agencies like police departments. More than half of adult Americans' faces are logged in police databases, according to a study by Georgetown researchers. Facial recognition technology is used by governments across the globe to identify and track dissidents, and has been deployed by police against Hong Kong protesters. To push back, privacy-focused designers, academics, and activists have designed wearable accessories and clothes meant to thwart facial recognition tech.

"Nokia's AI driven access analytics solution has given us the ability to proactively address issues, reducing customer calls by solving multiple issues in a single intervention and creating overall efficiencies in our troubleshooting process." High-resolution video, cloud services and the multiplication of connected devices require higher bandwidth as well as increased reliability. Today, for the copper medium to remain competitive relative to fiber, a similar quality of experience is expected from both an end-user and maintenance perspective. This is especially true given the uptake of Fiber in Europe, which stands at less than 50% for home subscribers. As a Tier-1 European service provider, POST Luxembourg was looking to improve the overall performance of its copper troubleshooting process to reduce OPEX and improve satisfaction among its customers.

AI was supposed to be nothing more than a tool to automate boring repetitive tasks. However, AI is much more than that. In fact, AI is already covering today's headlines. Whether it's executing geopolitics--with the US blacklisting some of China's AI companies, finding homes--with AI searching for your perfect apartment, playing games--with AI playing your Angry Birds game, or showing your body--with the rise of full body deepfakes, AI has found its way to every element of our daily lives. These recent examples show a wide range of AI's possibilities, but for many people, AI's potential for businesses is still rather uncharted territory.

KT Corporation and Portugal-based WeDo Technologies have signed a Cooperation Agreement for AI-FMS (Artificial Intelligence based Fraud Management System) development and sales. KT's Deep Learning-based Artificial Intelligence (AI) module has been implemented and tested on WeDo's RAID FMS system. This AI module, trained with KT Big Data, has showed strong results for fraud detection and prevention, and has reportedly proved to be effective for a number of fraud use cases, with a high degree of accuracy. KT and WeDo plan to supply the AI-based International Revenue Share Fraud (AI-IRSF) module with the RAID platform to communication service providers (CSPs) by the end of 2019. KT's DL (Deep Learning) based AI module has been implemented and tested on WeDo's RAID FMS system.

Over the past few months, high-profile incidents in the United Kingdom, one of the most surveilled societies in the world, forced people to consider how facial recognition will be used there. Brexit taking up most of the oxygen in the room hasn't made that debate any easier, but in conversations with VentureBeat, three experts from different backgrounds -- Ada Lovelace Institute director Carly Kind, the U.K.'s surveillance camera commissioner Tony Porter, and University of Essex professor Daragh Murray, who studies police use of facial recognition -- all agree that the U.K. needs to find a middle ground. All three agree that years of Brexit debate have stifled necessary reform, and that leaving the European Union could carry consequences for years to come as police and businesses continue experiments with facial recognition in the U.K. They also worry that an inability to take action could lead to calls for a ban or overregulation, or far more dystopian scenarios of facial recognition everywhere. The Terminator's got serious competition for symbolizing the fear of technology trampling human rights. Facial recognition has become a major issue around the globe due both to its deeply personal and pervasive nature as well as advances in AI that now make it work in real time. In democratic societies worldwide, facial recognition is challenging lawmakers to confront how AI will shape society and is redefining attitudes toward artificial intelligence.

NTT Communications Forum 2019 was recently held in Tokyo to promote the digital transformation of society and technology to realise One Smart World with Artificial Intelligence (AI) as one of the main themes in the exhibition. The forum also offered a variety of programs, cooperating with NTT engineers and exhibition of advanced digital initiatives. NTT displayed as how people can experience future working styles with modern cutting-edge Artificial Intelligence Technologies. AI Operator can answer a wide range of inquiries by a customer and if the customer decides to speak with a human operator the AI connects him with the human operator and AI becomes an avatar reflecting the human operator's speech and even movement of the body. "To achieve a smart world we need to develop different communication solutions, this way we can maintain a high level of knowledge and face various challenging issues. And this would be an important part of the country's development. For example to develop the agriculture industry we can use AI to get better crops and reduce the time of production process," said Ryuichi Kawamura, NTT Communications.

When news is slow, we ask a computer to use futuristic intelligence algorithms to generate news stories for us, thanks to a website we found called TalkToTransformer.com. We type in the beginning of a news story, and let the computers do the rest. Now, let us read you some of these stories with our human mouths so the robots will spare us in the great Future War Against Machines in 2077. Today's stories: Donkey Kong Arrested for Animal Abuse, Crash Bandicoot Seriously Injures a Young Man, A Fisherman in Legend of Zelda Is Bitten by an Octopus and Batman Can't Stop Farting Near Babies. We thank our robot overlords for giving us an opportunity to serve and spread the good news they have invented for our human mouths to speak.

"It is difficult to make predictions", goes the old joke, "especially about the future." However, there is one way in which we can predict the rate of change. It is called Moore's Law, named after Gordon Moore the founder of the computer chip company Intel. More than 50 years ago, he observed that the computing power that was available at a fixed price doubled every 18 months or so. This was based on the number of transistors that could be fixed on a chip.

It is our pleasure to invite you to the 4th Huawei International Video Intelligence Forum based in Dublin, Ireland. At this summit you will hear from leading experts and scientists on the impact that AI and Machine Learning has on Visual Computational Networks, from behavior to AR/VR. Huawei has collaborated with leading Universities across the world and this forum is an ideal arena to explore this exciting Innovation. Leading speakers include top Researchers from Imperial College London, Queen Mary and Trinity College Dublin to name a few.

One of the biggest issues with Artificial Intelligence and Data Science is the integrity of our data. Even if we did all the right things in our models, and our testing, data might conform to some technical standard of "cleanliness", there might still be biases in our data as well as "common sense" issues. With Big Data, it is difficult to get to a certain granularity of data validity without proper real-world testing. By real-world testing, we mean that when data is being used to make decisions, as consumers, as testers, as programmers, as data scientists, we look at groups of scenarios to see if the decisions made conform to a kind of "common sense" standard. This is when we discover the most important biases in our data.