Drone users in the UK must now sit an online test and pay a £9 annual fee or face a £1,000 fine after the launch of a mandatory national registration scheme on Tuesday. Owners are obliged to identify and label all drones by 30 November, and operators must pass a test about legal and safe usage before they can fly them. The Civil Aviation Authority estimates that about 130,000 people will have to pay and register by the end of the month. All drones weighing more than 250g, which encompasses virtually all but the smallest toys, must be registered and labelled with a unique licence number. This means they will have to be grounded to identify their owners, but in future it could be done remotely or while drones are in the air.

Globally, food waste is a massive problem. According to the Food and Agriculture Organization of the United Nations, around 1.3 billion tonnes of food is wasted globally every year. That's believed to be enough to feed the world's 815 million hungry people, four times over. But thanks to advancements in technology, this problem could one day be eradicated. Grocery technology pioneer Ocado, for example, has been able to slash food wastage rates to just 1 in 6,000 items by using data analytics, machine learning and artificial intelligence to manage its produce.

LEHI, Utah & SAN FRANCISCO--(BUSINESS WIRE)--Today, Ancestry, the global leader in family history and consumer genomics, is releasing the new Newspapers.com Obituary Collection and announcing an upgrade to its U.S. Obituary Collection, adding to what is now the world's largest, searchable digital archive of over 262 million worldwide obituaries and death announcements, containing almost 1 billion searchable family members. Obituaries are one of the most comprehensive records available about an ancestor. An obituary can act like a'starter kit' for family history -- it can include places of birth, marriage, occupation, residence, and family members, and may even suggest burial site location. One-third of Americans are unable to name all four of their grandparents,* but obituaries offer one of the easiest ways to understand recent family history and launch a journey of personal discovery.

Following companies that disrupt the status quo is fascinating. In nearly every industry, innovative companies are now using the power of robotics and AI to drive change that was unimaginable just a decade ago. Their technologies, products, and solutions are turning the competitive landscape upside down and creating new market leaders more quickly than ever before. These companies are bona fide disruptors that we believe create a smart, long-term investment opportunity that should be capitalized on in the early stages. But while they hold a high potential for rapid growth, they are often missed by investors who are distracted by today's short-term market swings.

Workers at some promising tech startups can give off the sort of energy that comes from being a part of a team that just might change the world. At Austin's Alegion Inc., the employees exude that upbeat vibe. The company, which two years ago had fewer than 10 employees, now has more than 60 working in a converted warehouse next to the train tracks in East Austin. The funky chic location is a way to conserve funds for the work ahead. Alegion is among a pioneering group of companies in the field of "data labeling" and it is collaborating with several big corporations that are developing artificial intelligence-based systems that could transform their business operations. Its work could potentially help clients make a big impact in fields such as retail, manufacturing, financial services and health care.

Xilinx, Inc. (NASDAQ: XLNX) and SK Telecom (NYSE: SKM) today announced that SK Telecom has adopted Xilinx Alveo Datacenter Accelerator cards to power a real-time AI-based physical intrusion and theft detection service. SK Telecom's AI inference accelerator (AIX) implemented on Xilinx Alveo cards provides efficient and accurate physical intrusion detection using deep neural networks. SK Telecom's AI-based physical intrusion detection service, T viewTM, monitors hundreds of thousands of customers' commercial and home camera systems in real-time and dispatches security guards under physical intrusion circumstances. Processing a large volume of data from thousands of cameras using deep neural networks necessitates a powerful AI accelerator that can provide enough throughput and accuracy. T view uses SK Telecom's AI inference accelerator (AIX), implemented on Xilinx Alveo U250 cards.

Artificial intelligence is now increasingly present in corporate and government decision-making. And although AI tools are still largely in the hands of institutions that focus on profit before purpose, these new technologies could be equally powerful in promoting social good. A joint effort by MIT Solve and the Patrick J. McGovern Foundation shows how AI applications can be used to extend prosperity to economically marginalized groups. Already, entrepreneurs are exploring how AI can be used to address some of the world's thorniest challenges in thoughtful, creative and previously impossible ways. AI is most exciting when it can both absorb large amounts of data and identify more accurate correlations (diagnostics), while leaving the causational conclusions and ultimate decision-making to humans.

A Toronto hospital is teaming up with a world-leading artificial intelligence lab in the city to give doctors access to potentially life-saving second opinions, from a computer. Erica Natividad with how it works.

As an Associate Member, Kalray was proud to represent the Khronos Group during the keynote sessions at Autosens 2019, held in Brussels, Belgium, from Sept.17 to 19, 2019. Stephane Strahm, Senior Product Manager at Kalray, talked about "Open minds to Open Standards for the deep learning automotive solutions". In order to efficiently orchestrate the adoption of the automotive industry's rapidly advancing connected technology, it is always mandatory in evaluating standards or creating standards, to improve interoperability of components as systems' complexity grows. This is happening nowhere more so than in the area of intelligent data compute for tactical driving systems – autonomous vehicles. Khronos' open standards are a key solution to providing versatility in the supply chain and embracing more of the collective AI development community to solve tomorrow's goals.

XGBoost is a scalable ensemble technique based on gradient boosting that has demonstrated to be a reliable and efficient machine learning challenge solver. This work proposes a practical analysis of how this novel technique works in terms of training speed, generalization performance and parameter setup. In addition, a comprehensive comparison between XGBoost, random forests and gradient boosting has been performed using carefully tuned models as well as using the default settings. The results of this comparison may indicate that XGBoost is not necessarily the best choice under all circumstances. Finally an extensive analysis of XGBoost parametrization tuning process is carried out.