This paper presents a personalized lecture concept using educational blocks and its demonstrative application in a new university lecture. Higher education faces daily challenges: deep and specialized knowledge is available from everywhere and accessible to almost everyone. University lecturers of specialized master courses confront the problem that their lectures are either too boring or too complex for the attending students. Additionally, curricula are changing more rapidly than they have in the past 10-30 years. The German education system comprises different educational forms, with universities providing less practical content. Consequently, many university students do not obtain the practical skills they should ideally gain through university lectures. Therefore, in this work, a new lecture concept is proposed based on the extension of the just-in-time teaching paradigm: Personalized and Demand-Based Education. This concept includes: 1) an initial assessment of students' backgrounds, 2) selecting the appropriate educational blocks, and 3) collecting ongoing feedback during the semester. The feedback was gathered via Pingo, ensuring anonymity for the students. Our concept was exemplarily tested in the new lecture "Practical Tools for Control Engineers" at the Karlsruhe Institute of Technology. The initial results indicate that our proposed concept could be beneficial in addressing the current challenges in higher education.

The metaverse is expected to provide immersive entertainment, education, and business applications. However, virtual reality (VR) transmission over wireless networks is data- and computation-intensive, making it critical to introduce novel solutions that meet stringent quality-of-service requirements. With recent advances in edge intelligence and deep learning, we have developed a novel multi-view synthesizing framework that can efficiently provide computation, storage, and communication resources for wireless content delivery in the metaverse. We propose a three-dimensional (3D)-aware generative model that uses collections of single-view images. These single-view images are transmitted to a group of users with overlapping fields of view, which avoids massive content transmission compared to transmitting tiles or whole 3D models. We then present a federated learning approach to guarantee an efficient learning process. The training performance can be improved by characterizing the vertical and horizontal data samples with a large latent feature space, while low-latency communication can be achieved with a reduced number of transmitted parameters during federated learning. We also propose a federated transfer learning framework to enable fast domain adaptation to different target domains. Simulation results have demonstrated the effectiveness of our proposed federated multi-view synthesizing framework for VR content delivery.

A key benefit of using general-purpose processors to implement open RAN/vRAN is that the same platforms can be used to support AI inference and other applications at the far edge of the network, such as cell site routers (CSRs) and content delivery and hosting. These edge platforms can be used to host virtualized applications closer to the user, offering significant benefits in terms of lower latency and shared infrastructure. To find out more about which applications service providers plan to support on shared far edge solutions and how they plan to deploy open RAN and vRAN platforms and architectures for 5G networks, Heavy Reading ran an exclusive survey of individuals working for operators with mobile network businesses. The results are presented in an analyst report, Open RAN Platforms and Architectures Operator Survey Report, that can be downloaded for free here. The survey presented options for five edge applications that can share server platforms with virtualized open RAN baseband implementations.

The technology, which has already been employed by several notable PC games over the last few years, uses machine learning to upscale rendered images in real-time. So rather than tasking the GPU with producing a native 4K image, the engine can render the game at a lower resolution and have DLSS make up the difference. In the case of DLSS, NVIDIA trained their neural network by taking low and high resolution images of the same game and having their in-house supercomputer analyze the differences. Combined with motion vector data, the neural network was tasked with not only filling in the necessary visual information to make the low resolution image better approximate the idealistic target, but predict what the next frame of animation might look like. In other words, if you have a computer powerful enough to run a game at 30 FPS in 1920 x 1080, the same computer could potentially reach 60 FPS if the game was rendered at 1280 x 720 and scaled up with DLSS.

It's a challenge to learn a new language, especially once we're past 18 years old. But Duolingo, self-proclaimed as "the world's best way to learn a language" and seconded by reviewers at the Wall Street Journal and the New York Times, is set to change that with an assist from artificial intelligence (AI). Duolingo launched in 2011, and through a powerful mix of personalized learning, immediate feedback and gamification/rewards, it has become one of the most downloaded educational apps today. Let's take a look at how artificial intelligence helps the company deliver personalized language lessons to its 300 million users. Founded in Pittsburgh by Carnegie Mellon University computer scientist Luis von Ahn, who is renowned for creating CAPTCHA, Duolingo's mission is to "make education free and accessible to everyone in the world."

It's a challenge to learn a new language, especially once we're past 18 years old. But Duolingo, self-proclaimed as "the world's best way to learn a language" and seconded by reviewers at the Wall Street Journal and the New York Times, is set to change that with an assist from artificial intelligence (AI). Duolingo launched in 2011, and through a powerful mix of personalized learning, immediate feedback and gamification/rewards, it has become one of the most downloaded educational apps today. Let's take a look at how artificial intelligence helps the company deliver personalized language lessons to its 300 million users. Founded in Pittsburgh by Carnegie Mellon University computer scientist Luis von Ahn, who is renowned for creating CAPTCHA, Duolingo's mission is to "make education free and accessible to everyone in the world."

According to James Norwood, digital transformation is now mainstream for organizations of all sizes as they work to become digital businesses. However, the drivers for such reinvention may vary from delivering seamless customer experiences to introducing new business models or disrupting existing models. "That's at the macro level, but digital transformation is also fueling investments in technology to elevate the customer experience to attract, retain and engage customers, partners and employees, as enterprises are turning to rich and omnichannel digital experiences," he said. Norwood is currently executive vice president of strategy and CMO at digital experience vendor Episerver. He joined Episerver at the start of 2015 after a career spent selling and marketing ERP at Epicor and later customer service software at KANA.

With a bottom-up approach, beginning with the end user and working up to the headend, the media industry can reduce abandonment, increase engagement, improve repeat viewership and protect brands, writes Ted Korte of Qligent. The phrase'content is king' can no longer stand on its own. With the expansion of digital media and IP-based channels, the world is becoming a smaller place as consumers now have access to content across the globe. The growing availability of these services and faster broadband access have combined with advances in smart devices to empower consumers and have shifted control of the media landscape from content providers to end users. If great content is all it takes to be successful, why are so many end users still cutting the cord?

With the business landscape changing more rapidly than ever before, the intranet must adapt and change to remain a business-critical tool. An organisation's digital workplace should be ever-evolving; enterprise platforms need to be improved to meet developing needs and support the business strategy. Continual care is needed to ensure systems are aligned with the organisation's goals. The intranet should meet the varying needs and wants of its users, enabling them to do their daily work without friction. When developing or redeveloping the intranet, it's important to consider multiple options, rather than assuming a certain direction or following'where the technology leads'.

If you think you're seeing more on the topic of artificial intelligence in marketing lately, there's a reason--you are. In fact, a new study by Weber Shandwick finds that the majority of CMOs in five global markets believe artificial intelligence (AI) will surpass social media's influence in the industry. According to the 150 senior executives surveyed, 55% believe that AI will transform the marketing and communications world even more than social media, and 68% say that their brand is currently selling, using, or planning for business in the era of AI. When we think about artificial intelligence, we think about Siri, Arnold Swarzeneeger's character in The Terminator, or IBM's Watson, which recently defeated the two greatest Jeopardy champions and "stole" the $1 million prize. But AI is being used for practical ways that, as marketers, affect us all.