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Nvidia Launches Inference Platform for Language-Intelligence Applications

Nvidia Launches Inference Platform for Language-Intelligence Applications | Language Tech Market News | Scoop.it

Nvidia's inference platform--dubbed Nvidia TensorRT Hyperscale Inference Platform--is designed to offer more performance with lower latency within hyperscale data centers. These data centers are typically offering natural language interaction, answers to search queries and artificial intelligence tools.

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Voice-Recognition App Adds Sound Effects To Spoken Stories

Voice-Recognition App Adds Sound Effects To Spoken Stories | Language Tech Market News | Scoop.it

Novel Effect (US) makes money when users buy books from Amazon via the app. It plans to roll out a more polished version of with sound effects for over 100 different books; then it will start charging a $5 monthly fee to use it. The company already has a partnership with publisher Hachette Book Group, and several others are in the works, Hammersley says.

LT-Innovate's insight:

Aural equivalent to Augmented Reality. Scan text,  identify "sensorial/aural" data, and transform them into sound effects. Of course you had thought of it!

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IBM’s Watson Assistant Lets Any Company Build Hub-like Voice Interfaces

IBM’s Watson Assistant Lets Any Company Build Hub-like Voice Interfaces | Language Tech Market News | Scoop.it

IBM is today launching Watson Assistant, a new service aimed at companies looking to build voice-activated virtual assistants for their own products. Want your hotel’s rooms to remember a guest’s preferences for air-con? Or your car’s dashboard to be controllable via voice interface? IBM’s message to companies is: we can help you build that. It’s an interesting pitch, especially as voice assistants like Amazon’s Alexa are being integrated into new arenas. (See, for example, the Wynn Las Vegas’s decision to install Echoes in every room.) IBM says this shows the popularity of conversational interfaces, and believes companies should chose Watson Assistant over Alexa or Siri for a number of reasons — namely: branding, personalization, and privacy.

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