Google Images is getting a big upgrade that is based on artificial intelligence.

Stacia L. Brown, a writer and podcaster, was scrolling through Netflix's recommendations and noticed a poster for Like Father, a summer release starring Kelsey Grammer and Kristen Bell--except that the poster she saw featured two lesser-known actors, Blaire Brooks and Leonard Ouzts. She took to Twitter: "Other Black @netflix users: does your queue do this? Generate posters with the Black cast members on them to try to compel you to watch?" Because of her astute eye, I took a look at my Netflix recommendations and suddenly noticed that Fyvush Finkel was popping up everywhere. Netflix responded to the controversy by saying that Brown's premise was wrong: The company couldn't target posters to subscribers' races, because "we don't ask members for their race, gender, or ethnicity."

Honda hasn't been shy about wanting an AI assistant in its cars, and it's bringing in a partner to ensure that this assistant is one you'll want to use. The automaker has tapped SoundHound to speed up the development of its AI companion. Thanks to the Houndify platform, your ride should understand natural, conversational voice commands, including ones that depend on contextual details like your location or past requests. If this sounds familiar, it should -- Hyundai and Kia are also using SoundHound's tech to power their respective assistants. You shouldn't get a cookie-cutter experience when Honda is free to customize the experience and add its own flourishes, but it could lead to your future ride sharing some major technology in common with a rival brand.

SINGAPORE--(BUSINESS WIRE)--Oct 25, 2018--DXC Technology (NYSE: DXC), the world's leading independent, end-to-end IT services company, today announced the opening of the DXC Digital Innovation Lab in Singapore. Developed with the support of the Singapore Economic Development Board (EDB), the DXC Digital Innovation Lab Singapore is an advanced environment for the incubation of ideas, learning and innovative technology solutions developed by data scientists and enterprise solution experts. The lab will benefit DXC employees, clients and partners, as well as the technology and business communities of Singapore, the region and beyond. The DXC Digital Innovation Lab Singapore is an extension of DXC Labs, whose goal is to ensure that DXC masters the emerging technologies it needs in order to lead clients through accelerating digital transformation. At the innovation lab, digital specialists will explore novel technologies, develop prototypes and create reference architectures for rapid business deployment.

Deep learning a subset of machine learning comes under the realms of artificial intelligence (AI) and works by gathering huge datasets to make machines act like humans. Deep learning having immense potential uses machine learning to tackle new complex problems like speech, language and image recognition by giving machines the power to learn how features in the data combine into increasingly higher level, abstract forms. The deployment of neural networks has aided deep learning to produce optimized results. Deep learning has immense adaptability, like how Facebook uses deep learning to automatically find friends in an image and suggests the user to tag them. According to a leading source, the deep learning market is expected to exceed $18 billion by 2024, growing at a CAGR of 42%.

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Last week, Netflix users raised concerns that the company was targeting black users by race in the way it promoted films--highlighting black characters who sometimes had only minor roles in a movie. The debate began after Stacia L. Brown, creator of the podcast Charm City, tweeted a screenshot of the promotion she was shown for Like Father, featuring two black characters, Leonard Ouzts and Blaire Brooks, who had "20 lines between them, tops," rather than the movie's famous white stars, Kristen Bell and Kelsey Grammer. Brown, who is black, posted a handful of other examples where Netflix highlighted black actors, presumably to entice her to watch, even though the films' casts were predominantly white. In response, Netflix issued a carefully worded statement emphasizing that the company does not track sensitive demographic data about its users. "Reports that we look at demographics when personalizing artwork are untrue," the company said in a statement.

Harmonic analysis is an important step towards creating high-level representations of tonal music. High-level structural relationships form an essential component of music analysis, whose aim is to achieve a deep understanding of how music works. At its most basic level, harmonic analysis of music in symbolic form requires the partitioning of a musical input into segments along the time dimension, such that the notes in each segment correspond to a musical chord. This chord recognition task can often be time consuming and cognitively demanding, hence the utility of computer-based implementations. Reflecting historical trends in artificial intelligence, automatic approaches to harmonic analysis have evolved from purely grammar-based and rule-based systems (Wino-grad, 1968; Maxwell, 1992), to systems employing weighted rules and optimization algorithms (T emper-ley and Sleator, 1999; Pardo and Birmingham, 2002; Scholz and Ramalho, 2008; Rocher et al., 2009), to data driven approaches based on supervised machine learning (ML) (Raphael and Stoddard, 2003; Radicioni and Esposito, 2010).