Google announces AI advances in text-to-video, language translation, more

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At a Google AI occasion this morning on the firm’s Pier 57 places of work in New York City, Google introduced a wide range of synthetic intelligence (AI) advances, together with in generative AI, language translation, well being AI and catastrophe administration.

The occasion additionally targeted closely on a dialogue round its efforts to construct accountable AI, significantly associated to regulate and security, serving to determine generative AI, and “building for everyone.” 

“We see so much opportunity ahead and are committed to making sure the technology is built in service of helping people, like any transformational technology,” Google CEO, Sundar Pichai, stated in a video shared with attendees, in which the occasion was meant to “reimagine how technology can be helpful in people’s lives.”

In addition, Pichai identified the dangers and challenges that include AI. “That’s why Google is focused on responsible AI from the beginning, publishing AI principles which prioritize the safety and privacy of people over anything else,” he stated.


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Google debuts Imagen Video — Phenaki combo

Douglas Eck, principal scientist at Google Research and analysis director for Google’s Brain Team, shared a wide range of Google generative AI bulletins, together with its cautious, sluggish efforts (in comparison with DALL-E 2 or Stability AI) to launch its text-to-image AI programs.

While Google Imagen will not be but out there to the general public, the corporate introduced it’ll add a restricted type of it to its AI Test Kitchen app (which this 12 months confirmed off LaMDA) as a approach to accumulate early suggestions. The firm confirmed off a demo known as City Dreamer in which customers can generate photographs of a metropolis designed round a theme, similar to, say, pumpkins.

In addition, constructing on its text-to-video work introduced final month, Google shared the primary rendering of a video that shares each of the corporate’s complementary text-to-video analysis approaches — Imagen Video and Phenaki. The end result combines Phenaki‘s ability to generate video with a sequence of text prompts with Imagen’s high-resolution element.

Google’s first rendering of video generated by Imagen Video and Phenaki

“I think it is amazing that we can talk about telling long-form stories like this with super-resolution video, not just from one prompt but a sequence of prompts, with a new way of storytelling,” stated Douglas Eck, principal scientist at Google Research and analysis director for Google’s Brain Team, including that he was enthusiastic about how filmmakers or video storytellers would possibly make use of this know-how. 

Other generative AI advances

In the textual content house, Eck additionally mentioned the LaMDA dialogue engine and the Wordcraft Writers Workshop, which challenged skilled authors to write down experimental fiction utilizing LaMDA as a software. 

Google will quickly launch a analysis paper on this, Eck stated.

“One clear finding is that using LaMDA to write full stories is a dead end,” he stated. “It’s more useful to use LaMDA to add spice.” The person interface additionally must be proper, he added, serving as a “text editor with a purpose.” 

Eck additionally highlighted Google’s efforts to make use of AI to generate code, in addition to lately launched analysis from AudioLM which — without having for a musical rating — extends the audio from any audio clip entered – and DreamFusion, the recently-announced text-to-3D rendering that mixes Imagen with NeRF’s 3D capabilities.

“I’ve never seen quite so many advances in the generative space, the pace is really incredible,” he stated.

Google’s DreamFusion, designed to transform textual content into 3D-generated photographs

Google is constructing a common speech translator

After reviewing a wide range of Google advances in language AI analysis, Google Brain chief Zoubin Ghahramani introduced the corporate’s effort to mirror the range of the world’s languages and an formidable stab at constructing a mannequin that helps the world’s high 1000 languages.

In addition, Google says it’s constructing a common speech mannequin skilled on over 400 languages, with the declare that it’s the “largest language model coverage seen in a speech model today.”

All of those efforts “will be a multi year journey,” he stated. “But this project will set a critical foundation for making language based AI truly helpful for everyone.”

A powerful give attention to accountable AI

Following the AI bulletins, which additionally included Marian Croak, VP of engineering at Google, and James Manyika, SVP at Google-Alphabet, mentioned Google’s give attention to accountable AI.

“I think if we’re going to be leaders, it’s extremely important that we push the state of the art on responsible AI technology,” stated Croak. “I’m passionate about wanting to discover ways to make things work in practice.”

Google does adversarial testing “constantly and continuously,” she stated. “Then we also make sure that we’re setting benchmarks set of quantitative and can be measured and verified across all the dimensions of our AI. So, we also do that on a continuous basis.”

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