If the six projects presented at a recent TV documentary pitch session held at the Unifrance Rendez-Vous in Paris share relatively few thematic or stylistic points in common, when taken as a whole, the diverse titles relay two incontrovertible truths: While advances in filmmaking technology now offer industry creatives unprecedented freedoms, when it comes to hooking the audience, nothing beats a good story well told. Three of the six projects presented at the Rendez-Vous forum reflect the format's growing technological trends. To offer competing visions of the future, Mad Films/Camera Subjective's speculative science-fiction project "2080" will use CGI, motion capture and some of the digital production techniques pioneered by Disney's "The Mandalorian," whereas to open a window into the past, France Televisions/Program33's historical doc "The Joan of Arc Case" will use detailed digital recreations of 15th-century France. On a similar front, the four-episode edutainment project "Science in Archeology 3.0," directed by Alexandra Barbot and Ste phane Jacques, produced by Roche Productions, and handled internationally by Lucky You, looks to employ recent advances in digital mapping, photogrammetry, and scanning techniques to recreate digital models of the ancient world. At the pitch presentation, co-director Alexandra Barbot likened the digital recreations to "entering Ali Baba's cave," arguing that these new model could rekindle that same spark of discovery that lit up so many young imaginations.

Reporter Chloe Veltman reacts to hearing her digital voice double, "Chloney," for the first time, with Speech Morphing chief linguist Mark Seligman. Reporter Chloe Veltman reacts to hearing her digital voice double, "Chloney," for the first time, with Speech Morphing chief linguist Mark Seligman. The science behind making machines talk just like humans is very complex, because our speech patterns are so nuanced. "The voice is not easy to grasp," says Klaus Scherer, emeritus professor of the psychology of emotion at the University of Geneva. "To analyze the voice really requires quite a lot of knowledge about acoustics, vocal mechanisms and physiological aspects. So it is necessarily interdisciplinary, and quite demanding in terms of what you need to master in order to do anything of consequence."

Topic taxonomies, which represent the latent topic (or category) structure of document collections, provide valuable knowledge of contents in many applications such as web search and information filtering. Recently, several unsupervised methods have been developed to automatically construct the topic taxonomy from a text corpus, but it is challenging to generate the desired taxonomy without any prior knowledge. In this paper, we study how to leverage the partial (or incomplete) information about the topic structure as guidance to find out the complete topic taxonomy. We propose a novel framework for topic taxonomy completion, named TaxoCom, which recursively expands the topic taxonomy by discovering novel sub-topic clusters of terms and documents. To effectively identify novel topics within a hierarchical topic structure, TaxoCom devises its embedding and clustering techniques to be closely-linked with each other: (i) locally discriminative embedding optimizes the text embedding space to be discriminative among known (i.e., given) sub-topics, and (ii) novelty adaptive clustering assigns terms into either one of the known sub-topics or novel sub-topics. Our comprehensive experiments on two real-world datasets demonstrate that TaxoCom not only generates the high-quality topic taxonomy in terms of term coherency and topic coverage but also outperforms all other baselines for a downstream task.

Fake news detection research is still in the early stage as this is a relatively new phenomenon in the interest raised by society. Machine learning helps to solve complex problems and to build AI systems nowadays and especially in those cases where we have tacit knowledge or the knowledge that is not known. We used machine learning algorithms and for identification of fake news; we applied three classifiers; Passive Aggressive, Na\"ive Bayes, and Support Vector Machine. Simple classification is not completely correct in fake news detection because classification methods are not specialized for fake news. With the integration of machine learning and text-based processing, we can detect fake news and build classifiers that can classify the news data. Text classification mainly focuses on extracting various features of text and after that incorporating those features into classification. The big challenge in this area is the lack of an efficient way to differentiate between fake and non-fake due to the unavailability of corpora. We applied three different machine learning classifiers on two publicly available datasets. Experimental analysis based on the existing dataset indicates a very encouraging and improved performance.

Musicians have been experimenting with artificial intelligence for a few years now. For example, in 2019, an AI trained on Schubert's music completed his Unfinished Symphony and last October the Beethoven Orchestra in Bonn performed an AI-generated version of Beethoven's last symphony. But what are the limits of AI music? Can an AI really be considered creative? And is it possible for an AI to improvise with musicians live on stage?

GNW Technology implementation has increased, and the post-pandemic situation appears to be positive for all stakeholders; however, automakers have yet to fully harness AI's potential in their service offerings. Although AI is in the nascent stage of development, OEMs are adopting it across the automotive value chain to improve manufacturing and to enhance customer experience, marketing, sales, and after-sales services.This report examines use cases and business opportunity areas for various players in the automotive ecosystem, including OEMs, Tier I suppliers and technology service providers, and new entrants or start-ups. As the industry continues to evolve, AI capabilities will become the core of automotive solutions. The study identifies key AI trends impacting the industry, including the convergence of connectivity, autonomous, sharing/subscription, and electrification (CASE); the increasing use of digital assistants; and the emergence of cloud and data analytics. Discussion covers the adoption of various AI automotive industry elements and lists companies to watch out for in this space.Additionally, this report guides market participants on how to chart their strategic priorities, such as partnerships, acquisitions, and new capabilities built to capitalize on growth opportunities in the automotive AI space.

An Iron Man-style robot is designed to help out during natural disasters by wading through rubble and using its propulsion backpack to fly over difficult terrain. The robot, called iCub, has been developed by experts at the Istituto Italiano di Tecnologia (IIT) in Genoa, Italy. Robotic systems in iCub's palms will allow it to control power and direction as it zooms through the air using propulsion rockets. The reminiscent of the Iron Man armour worn by Marvel Comics character Tony Stark, played on the big screen by Robert Downey Jr. It can crawl on all fours, walk and sit up to manipulate objects.

Huawei Consumer Business Group (BG) has announced the launch of Huawei nova 9 in Morocco, the ideal smartphone for the younger generation. "Incorporating a very rich set of innovative features and adorning itself with cutting-edge design elements, the latest addition to the nova series benefits from the presence of a very powerful camera system and receives all-new endowments that create new possibilities for users," according to Huawei. The Huawei nova 9 has a very powerful photographic device, reinforced by the presence of RYYB (CFA) color filters and an XD fusion engine, Huawei points out. The hardware-software integrated camera solution allows users to capture simply amazing images and videos even when light is lacking, Huawei says, noting that photos and videos will always be ready to be shared on devices. The smartphone also receives a magnificent 120 Hz curved screen, in addition to a very powerful processor and a very long battery life rechargeable through the 66 W Huawei SuperCharge1 system.

In this case, AI and its branch technology machine learning (ML) can suggest with high accuracy the size of the workload (CPU, memory, replicas, …

The Flemish Scrollers is a software system that watches live streamed sessions of the Flemish government, and uses Python and machine learning to …