WASHINGTON – China is slightly ahead of South Korea and the United States in the race to develop fifth generation wireless networks, or 5G, a U.S. study showed Monday. The study released by the CTIA, a U.S.-based industry association of wireless carriers, suggested that the United States is lagging in the effort to deploy the superfast wireless systems that will be needed for self-driving cars, telemedicine and other technologies. The report prepared by the research firm Analysys Mason found that all major Chinese providers have committed to specific launch dates and the government has committed to allocate spectrum for the carriers. The 10-nation study said the U.S. is in the "first tier" of countries in preparing deployment of 5G, along with China, South Korea and Japan. In the second tier are key European markets, including France, Germany and Britain, with Singapore, Russia and Canada in the third tier.

If you're like the unbreakable Kimmy Schmidt and got stuck in a bomb shelter in 2017, it may be both a blessing and a curse that you missed the machine learning for marketing media frenzy. Machine learning showed up everywhere, rivaling electricity's systemic emergence a century ago, allegedly injecting sage-like wisdom into everything from sales forecasting tools to email subject lines generators. But buildup and hype aside, real progress was made in using machine learning for marketing purposes, infiltrating impactful areas as unprecedented investments poured in. More resources supporting great minds pushed forward innovation in areas like image recognition, voice technologies, and natural language generation (NLG). And savvy brands that mindfully wired these into marketing applications boosted performance, in some cases realizing 400 percent ROI.

Intel, which wowed folks with its syncronized drone show at the Olympics, is at it again, with a drone show at the Coachella music festival near Palm Springs Sunday. We sit down with an Intel exec who explains how it works, and why Intel is pushing the idea of dancing drones. LOS ANGELES -- Intel, once best known as the company that powered PCs and Macs with its silicon chips, is now perhaps better known to the public for its awesome drone light shows. The company doesn't make consumer drones nor does it have plans to take on DJI or Yuneec, but it's become a frequent visitor to high profile events like the Super Bowl and Olympics with synchronized aerial drone shows. The Olympics alone had 1,218 drones in the air at one time, forming five Olympic rings and other intricate figures.

AI and robotics are going to shape our future. Next there are 10 issues that professionals and researchers need to address in order to desing intelligent systems that help humanity. The flow of misinformation together with our natural inability of perceiving reality based on evidence (a phenomenon called confirmation bias) is a threat to having an informed democracy. Russian hackers influencing the US elections, Brexit campaign and Catalonia crisis are examples of how social media can massively spread misinformation and fake news. It is an open question how institutions are going to address this threat. The scientific revolution in the 18th century and the industrial revolution in the 19th marked a complete change in society.

AI will augment people's capabilities but won't take all jobs. However, there will be socioeconomic upheaval, warns PwC's authority on AI, Anand Rao. Anand Rao is PwC global leader for artificial intelligence (AI) and is the consulting giant's innovation lead for the US analytics practice. Rao has 24 years of industry and consulting experience, helping senior executives to structure, solve and manage critical issues facing their organisations. He has worked extensively on business, technology and analytics issues across a wide range of industry sectors including financial services, healthcare, telecommunications, aerospace and defence, across US, Europe, Asia and Australia.

The House of Lords report on the implications of artificial intelligence is a thoughtful document which grasps one rather important point: this is not only something that computers do. Machine learning is the more precise term for the technology that allows computers to recognise patterns in enormous datasets and act on them. But even machine learning doesn't happen only inside computer networks, because these machines are constantly tended and guided by humans. You can't say that Google's intelligence resides either in its machines or in its people: it depends on both and emerges from their interplay. Complex software is never written to a state of perfection and then left to run for ever.

China's Alibaba Group has been testing its own autonomous vehicle technology, the South China Morning Post reports, and is looking to hire an additional 50 self-driving vehicle experts. Alibaba's rivals Baidu and Tencent have also been working on autonomous technology and last month, Baidu received the go-ahead from the Chinese government to begin testing its technology on Beijing roads. Tencent reportedly sent one of its autonomous vehicles for a ride on a Beijing highway earlier this month. According to the South China Morning Post, which is owned by Alibaba, the company has been conducting regular road tests of self-driving vehicles and has the capability to perform open road trials. It's looking to develop Level 4 autonomous technology, meaning that under certain conditions, the car can operate on its own without human involvement.

Big Data, artificial intelligence (AI) and robotics are powering exciting innovations across the aerospace industry, many of which are happening in the background, invisible to everyday airline customers. The 4th Global Aerospace Summit, which is set to take place on 30th April to 1st May at the St. Regis Saadiyat Island Resort, will gather local and international experts to discuss the future of manufacturing and how it impacts the aerospace industry. Ismail Abdulla, CEO of Strata, said, "Automation, Big Data, machine learning and artificial intelligence have only recently become household buzz words. However, in the aircraft manufacturing industry we have for years been witnessing a transformation in operations as a result of the implementation of advanced technologies that provide actionable insights." Abdulla highlighted that Big Data is at the heart of the aircraft manufacturing industry's revolution, because the algorithms that give AI its'intelligence' are trained with vast amounts of existing examples of how the'right' and'wrong' outcomes look like for a particular situation.

HONG KONG – Artificial intelligence technologies are penetrating consumer markets faster than ever before. Now, in a world first, Chinese tech giant Honor has brought an AI-powered smartphone to the market – and it's poised to accelerate adoption of this groundbreaking technology. Honor, an independent sub-division of Huawei, first announced the flagship Honor View10 back in December of 2017. Billed as a lightning-fast consumer smartphone, there's much more going on under the skin of the View10 than is immediately obvious. The View10's Kirin 970 processor is integrated with a dedicated neural network processing unit (NPU) to deliver AI features and performance that the company claims'far surpasses' any CPU or GPU-powered architecture.

The 2017 holiday shopping season trended better for online U.S. retailers with an estimated 16.6 percent jump in e-commerce sales compared to the same period last year. With a successful holiday season behind them and consumer confidence up, retailers are starting 2018 optimistic. But what can retailers learn from this past holiday season? When we talk to our customers, the biggest challenge in this new era of retailing is just keeping up with customer expectations. Bringing new, differentiated experiences to market is a monumental task.