Topic: jarvis

NVIDIA releases GPU-accelerated app framework for conversational AI services

NVIDIA announced a new solution to help organizations create artificially intelligent conversational services at its online GPU Technology Conference (GTC) this week. NVIDIA Jarvis is a GPU-accelerated app framework that leverages video and speech data to build customized, language-based AI services.  “Conversational AI is central to the future of many industries, as applications gain the … continue reading

2016: The year artificial intelligence exploded

Artificial intelligence isn’t a new concept. It is something that companies and businesses have been trying to implement (and something that society has feared) for decades. However, with all the recent advancements to democratize artificial intelligence and use it for good, almost every company started to turn to this technology and technique in 2016. The … continue reading

Watch Zuckerberg’s Jarvis AI in action

Facebook CEO Mark Zuckerberg went into 2016 with a mission to build a personal artificial assistant for his home. With 2017 on the horizon, Zuckerberg has released a new video showing how far he has come and how him and his family interact with the AI Jarvis. Zuckerberg communicates with Jarvis through a mobile app. … continue reading

Zuckerberg’s journey with his AI assistant Jarvis

Facebook CEO Mark Zuckerberg started 2016 off with one goal: to build an artificial intelligence personal assistant. The AI is known as Jarvis, or Just a Rather Very Intelligent System. Now that 2016 is coming to an end, Zuckerberg is sharing what he has accomplished so far. Today, he has built a simple AI designed … continue reading

DeepMind AI model can learn from own memory, Zuckerberg seeks voice actor for home AI, and AWS/VMware deliver new vSphere cloud offering—SD Times news digest: Oct. 14, 2016

DeepMind, an artificial intelligence firm that is now under the Alphabet umbrella, has developed differentiable neural computers (DNCs), which can learn from examples like neural networks, but can store complex data like actual computers. When DeepMind designed DNCs, it wanted to have machines that can form and navigate complex data structures on its own. Inside … continue reading

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