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Google introduces ImageFX, MusicFX, TextFX AI tools

Nex AI News

Google introduces ImageFX, MusicFX, TextFX AI tools

Saturday - February 3 - 2024 

In this week’s newsletter :

  • Google introduces ImageFX, MusicFX, TextFX AI tools

  • Lenovo believes AI will revive PC market

  • EU’s AI Act passes last big hurdle on the way to adoption

  • Experts from 30 nations will contribute to global AI safety report

  • What to do about AI in health?

Alphabet Inc.'s Google LLC announced on Thursday the release of three "generative AI tools in Labs" ImageFX, MusicFX, and TextFX.

According to the report, ImageFX is a "new image-generation tool powered by Imagen 2, Google DeepMind's latest text-to-image model," adding that the

feature offers a "powerful interface to quickly and securely explore the image generation process," giving the highest quality images.

MusicFX, on the other hand, brings higher-quality audio, as "people can now create tunes up to 70 seconds in length and music loops, explore prompts with expressive chips, and download or share their creations with friends," the company said.

TextFX is a feature that has been updated and, as the company noted, it will "improve the overall user experience and navigation" in exploring "creative possibilities with text and language."

Last week, Google introduced three "experimental generative artificial intelligence (AI)" functionalities to its Google Chrome web browser.

Lenovo Group Ltd.'s Asia-Pacific president, Amar Babu (pictured), predicted in an interview with Nikkei Asia, that personal computers (PCs) embedded with artificial intelligence (AI) chips will revive the PC market.

Babu told the news agency that Lenovo is "very much focused on building AI strategy" by partnering with Microsoft Corp. and Intel Corp. who are also interested in a new type of AI PC, with Lenovo hoping to bring customers back following the drop in sales since the COVID-19 pandemic. "Some of those products that were bought during early COVID are like four years old. ...A large installed base is now coming up for a refresh," Babu said to the news agency.

He also added during the interview that the company "believes that the worst is past us," and that Lenovo has "started seeing a recovery already."

European Union lawmakers scrambling for the bloc to be a contender in the generative AI race are presenting a package of support measures aimed at charging up homegrown AI startups and scale ups.

Artificial intelligence technologies — and especially generative AI models which are trained on very large data-sets and have capabilities such as being able to parse natural language and produce text, imagery or audio on demand — are

being viewed as a key strategic area for the bloc’s future competitiveness. However Commission officials concede lawmakers have been caught on the hop, somewhat, when it comes to compute infrastructure that’s fit for training such AIs.

They admit they were taken by surprise by the sudden rise of generative AI tools like OpenAI’s ChatGPT last year. So while the EU boasts an impressive network of high performance supercomputers — such as the newly inaugurated

MareNostrum 5 — this strategic infrastructure, historically been geared towards scientific users (and use-cases), hasn’t been optimized for training the new generation of disruptive generative AI models. And that’s one big missing component in the EU’s AI strategy that lawmakers are now rushing to change.

The European Union’s AI Act, a risk-based plan for regulating applications of artificial intelligence, has passed what looks to be the final big hurdle standing in the way of adoption after Member State representatives today voted to confirm the final text of the draft law.

The development follows the political agreement reached in December — clinched after marathon ‘final’ three-way talks between EU co-legislators which stretched over several days. After that, the work to turn agreed positions on scrappy negotiation sheets into a final compromise text for lawmakers approval kicked off — culminating in today’s Coreper vote affirming the draft rules.

Before a drug is approved by the U.S. Food and Drug Administration (FDA), it must demonstrate both safety and efficacy. However, the FDA does not require an understanding a drug’s mechanism of action for approval.

This acceptance of results without explanation raises the question of whether the "black box" decision-making process of a safe and effective artificial intelligence model must be fully explained in order to secure FDA approval.

This topic was one of many discussion points addressed on Monday, Dec. 4 during the MIT Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) AI and Health Regulatory Policy Conference, which ignited a series of

discussions and debates amongst faculty; regulators from the United States, EU, and Nigeria; and industry experts concerning the regulation of AI in health.

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