Stylometry aims to distinguish authors by analyzing literary traits assumed to reflect semi-conscious choices distinct from elements like genre or theme. However, these components often overlap, complicating text classification based solely on feature distributions. While some literary properties, such as thematic content, are likely to manifest as correlations between adjacent text units, others, like authorial style, may be independent thereof. We introduce a hypothesis-testing approach to evaluate the influence of sequentially correlated literary properties on text classification, aiming to determine when these correlations drive classification. Using a multivariate binary distribution, our method models sequential correlations between text units as a stochastic process, assessing the likelihood of clustering across varying adjacency scales. This enables us to examine whether classification is dominated by sequentially correlated properties or remains independent. In experiments on a diverse English prose corpus, our analysis integrates traditional and neural embeddings within supervised and unsupervised frameworks. Results demonstrate that our approach effectively identifies when textual classification is not primarily influenced by sequentially correlated literary properties, particularly in cases where texts differ in authorial style or genre rather than by a single author within a similar genre.

As an embodied and spatial medium, virtual reality is proving an attractive proposition for robot teleoperation in hazardous environments. This paper examines a nuclear decommissioning scenario in which a simulated team of semi-autonomous robots are used to characterise a chamber within a virtual nuclear facility. This study examines the potential utility and impact of sonification as a means of communicating salient operator data in such an environment. However, the question of what sound should be used and how it can be applied in different applications is far from resolved. This paper explores and compares two sonification design approaches. The first is inspired by the theory of cognitive metaphor to create sonifications that align with socially acquired contextual and ecological understanding of the application domain. The second adopts a computationalist approach using auditory mappings that are commonplace in the literature. The results suggest that the computationalist approach outperforms the cognitive metaphor approach in terms of predictability and mental workload. However, qualitative data analysis demonstrates that the cognitive metaphor approach resulted in sounds that were more intuitive, and were better implemented for spatialisation of data sources and data legibility when there was more than one sound source.

On this week's episode, the hosts excavate the psyche and begin by exploring Inside Out 2, a sophisticated children's movie that tackles the question on every kid's mind: How does one go about crafting a highly integrated ego? A bevy of new emotions join the motley crew living inside of our teenage protagonist Riley's mind, most notably Anxiety, voiced brilliantly by Maya Hawke. The film, a sequel to Pixar's 2015 Academy Award-winner, is filled with wisdom about developmental psychology, but finds itself in murky waters when indirectly tackling issues of free will and the power of the unconscious mind. Then, the panel probes the mind of Andrew McCarthy, whose recent documentary Brats (not to be confused with the new Charli XCX joint) reveals the inner workings of the "Brat Pack," a term coined by David Blum in a New York Magazine cover story published in 1985. A lifelong member of the "Brat Pack," McCarthy attempts to reconcile his relationship to the infamous label alongside others who fell under it, including Demi Moore, Rob Lowe, and Emilio Estevez, in a surprisingly personal and peculiar documentary that's quite revealing of McCarthy – either intentionally or not.

Her international reputation has grown with exciting collaborations with Snoop Dogg, Chris Brown, Jim Jones, Trey Songz, Lloyd, Jeremih, Boyz II Men, K'Naan, Judith Hill, Rain, The Jacksons and Chaka Khan. Especially in Japan, her music is known for its strength and substance. Despite the fame she's achieved, her down-to-earth personality shines during every performance. As AI will tell you, she'll do anything to get a smile from her fans. Her music diversity even stretches out to co-producing a single with "the" legendary producer Scott Storch contains a full message of SDG'S actions, which became a theme song to take a part in global action, "One Young World Japan", encouraging and supporting next world leaders globally as an official Japanese ambassador.

We are SkyPyre Studios, an indie game development & design studio located in Ottawa, Canada. We're a group of developers, designers, and friends looking to make original video games, animations, live action short films and topical livestream podcasts. Our games We have developed two games together with many more planned for the future. Our first game is Halen: Ballad of the Blade Thief (2017), a story driven third person action platformer set in a science fiction universe. Our second project is The Blobs Fight (2018), a local-multiplayer party game supporting up to 8 players.

It can create digital art, write poems and now, artificial intelligence is composing music. Japanese researchers have developed an AI headset that creates tailor-made music in order to improve the wearer's mood. The AI analyzes the person's brain waves and writes tunes that match their personal sensitivity- and it only takes one minute to create the music using synthesized notes. The AI studied relationships between music and emotions in order to write tunes that coincides with a human's personal sensitivity - and it only takes one minute to create the music using synthesized notes The AI was fed information about the relationship between music and emotions before it began composing music. Volunteers were asked to listen to music while their brain waves were recorded.

It may sound like a lost track from The Beatles, but the catchy pop song, 'Daddy's Car', was composed by artificial intelligence (AI). The tune was created by Flow Machines, a system Sony taught to make music by feeding it 13,000 samples from different genres. Although the software is capable of creating the lead sheet, a human composer instructed it to produce a record in the style of The Beatles and wrote the lyrics. It may sound like a lost track from The Beatles, but the catchy pop song, 'Daddy's Car', was composed by artificial intelligence (AI). Sony has taught its AI, Flow Machines, how to compose music.

It may sound like a lost track from The Beatles, but the catchy pop song, 'Daddy's Car', was composed by artificial intelligence (AI). The tune was created by Flow Machines, a system Sony taught to make music by feeding it 13,000 samples from different genres. Although the software is capable of creating the lead sheet, a human composer instructed it to produce a record in the style of The Beatles and wrote the lyrics. It may sound like a lost track from The Beatles, but the catchy pop song, 'Daddy's Car', was composed by artificial intelligence (AI). Sony has taught its AI, Flow Machines, how to compose music.

The Lady Maisry ballads afford us a framework within which to segment a storyline into its major components. Segments and as a consequence nodal points are discussed for nine different variants of the Lady Maisry story of a (young) woman being burnt to death by her family, on account of her becoming pregnant by a foreign personage. We motivate the importance of nodal points in textual and literary analysis. We show too how the openings of the nine variants can be analyzed comparatively, and also the conclusions of the ballads.