Top 5 stories of the week: Deloitte, Meta, Nvidia and Oracle news highlights current state of AI, deep learning

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Artificial intelligence (AI) is constant to evolve quickly, so it could be unsurprising that Deloitte‘s 2022 State of AI report calls out organizations which are nonetheless getting up to the mark on the expertise. It emphasizes how vital the expertise is turning into and factors out that firms late to the recreation must do higher — predicting that AI will develop into important to enterprise success in the subsequent 5 years.

In the identical vein, a have a look at some of the most notable overarching developments in deep learning reveals that AI’s use circumstances proceed to revolve round deep learning’s means to scale. On prime of that, different developments like multimodality and unsupervised learning are delivering promising outcomes for the firms which are making use of them — though the expertise remains to be not with out its faults. 

Some of the newest improvements introduced in AI got here from Nvidia, Oracle and Meta this week. At the Oracle CloudWorld occasion, Nvidia and Oracle introduced an expanded, multiyear partnership that can carry Nvidia’s GPUs, programs and software program into the Oracle Cloud (*5*) (OCI). The partnership is aimed toward bolstering OCI customers’ choices for AI coaching and deep learning, together with cluster networking and storage. 

Meanwhile, Meta introduced the launch of the common speech translator (UST) challenge, which is able to use AI for real-time speech translation throughout languages — together with one unwritten language, Hokkien, a Chinese language spoken in southeastern China and Taiwan. 


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Outside of the AI realm, in information infrastructure news, Snowflake this week acquired TV promoting agency, OpenAP to construct out a knowledge clear room resolution.

Here’s extra from our prime 5 tech stories of the week:

  1. 4 deep ideas on deep learning in 2022
    We’re placing one other yr of thrilling developments in synthetic intelligence (AI) deep learning behind us – one crammed with progress, controversies and, of course, disputes.

    As we wrap up 2022 and put together to embrace what 2023 has in retailer, listed below are some of the most notable overarching developments that marked this yr in deep learning:

  1. Scale continues to be an vital issue
  2. Unsupervised learning continues to ship
  3. Multimodality takes large strides
  4. Fundamental deep learning issues stay
  1. Snowflake acquires stake in OpenAP to arrange information clear room for advertisers
    Snowflake Ventures, the enterprise capital arm of information cloud firm Snowflake, at this time introduced an funding in superior TV promoting agency OpenAP.

    OpenAP was based in 2017 by a consortium of tv publishers to supply advertisers and companies with an ordinary open platform for cross-publisher viewers concentrating on and impartial posting.

    A number of months in the past, the ad-tech agency partnered with Snowflake and introduced the plan to launch a devoted clear room resolution referred to as OpenAP information hub.

  1. Meta AI broadcasts first AI-powered speech translation system for an unwritten language
    Meta AI simply introduced the launch of the common speech translator (UST) challenge, which goals to create synthetic intelligence (AI) programs that allow real-time speech-to-speech translation throughout all languages, even these which are spoken however not generally written.

    “Meta AI built the first speech translator that works for languages that are primarily spoken rather than written,” stated Mark Zuckerberg, Meta’s CEO. We’re open-sourcing this, so individuals can use it for extra languages.”

    According to Meta, the mannequin is the first AI-powered speech translation system for the unwritten language Hokkien, a Chinese language spoken in southeastern China and Taiwan and by many in the Chinese diaspora round the world.

  1. Deloitte State of AI Report 2022 calls out underachievers 
    Deloitte launched the fifth version of its State of AI in the Enterprise analysis report at this time, which surveyed greater than 2,600 international executives on how companies and industries are deploying and scaling synthetic intelligence (AI) tasks.

    Most notably, the Deloitte report discovered that whereas AI continues to maneuver tantalizingly nearer to the core of the enterprise – 94% of enterprise leaders agree that AI is important to success over the subsequent 5 years – for some, outcomes appear to be lagging.

  1. Nvidia and Oracle announce expanded cloud AI partnership
    Nvidia and Oracle introduced an expanded, multiyear partnership at this time at Oracle CloudWorld to assist prospects pace synthetic intelligence (AI) adoption.

    The collaboration will carry Nvidia’s full accelerated computing stack — from GPUs to programs to software program — to Oracle Cloud (*5*) (OCI).

    OCI will add tens of 1000’s extra Nvidia GPUs, together with the A100 and upcoming H100, to its capability. Oracle says that, together with OCI’s AI cloud infrastructure of naked metallic, cluster networking, and storage, enterprises will get a broad, accessible portfolio of choices for AI coaching and deep learning.

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