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Artificial intelligence (AI) continues to evolve rapidly, so it’s perhaps not surprising that Deloitte’s 2022 State of AI report calls out organizations that are still aware of the technology. It highlights how important technology is becoming and points out that companies that are late in the game need to do better – predicting that AI will become critical to business success in the next five years.
In a similar vein, a look at some of the most notable overarching trends in deep learning reveals that AI use cases continue to revolve around deep learning’s scalability. In addition, other trends, such as multimodality and unsupervised learning, are yielding promising results for the companies adopting them, although the technology is still not without its flaws.
Some of the latest innovations announced in AI came this week from Nvidia, Oracle, and Meta. At the Oracle CloudWorld event, Nvidia and Oracle announced an expanded, multi-year partnership that will bring Nvidia’s GPUs, systems and software into the Oracle Cloud Infrastructure (OCI). The partnership aims to strengthen OCI users’ options for AI training and deep learning, along with cluster networking and storage.
Meanwhile, Meta announced the launch of the Universal Speech Translator (UST) project, which will use AI for real-time speech translation into several languages, including one unwritten language, Hokkien, a Chinese language spoken in southeastern China and Taiwan.
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Outside of the AI realm, in data infrastructure news, Snowflake acquired TV advertising company OpenAP this week to build a data cleanroom solution.
Here’s more of our top 5 tech stories of the week:
- 4 deep thoughts on deep learning in 2022
We are leaving behind another year of exciting developments in artificial intelligence (AI) deep learning – a year full of progress, controversy and, of course, disputes.
As we wrap up 2022 and prepare to embrace what 2023 has in store, here are some of the most notable overarching trends that have marked this year in deep learning:
- Scale remains an important factor
- Unsupervised learning continues to pay off
- Multimodality takes big steps
- Fundamental problems with deep learning persist
- Snowflake acquires stake in OpenAP to set up data cleanroom for advertisers
Snowflake Ventures, the venture capital arm of data cloud company Snowflake, today announced an investment in cutting edge TV advertising company OpenAP.
OpenAP was founded in 2017 by a consortium of television publishers to provide advertisers and agencies with a standard open platform for audience targeting between different publishers and independent publications.
A few months ago, the ad technology company teamed up with Snowflake and announced its plan to launch a dedicated cleanroom solution called OpenAP Data Hub.
- Meta AI Announces First AI-Powered Speech Translation System for an Unwritten Language
Meta AI just announced the launch of the Universal Speech Translator (UST) project, which aims to create artificial intelligence (AI) systems that enable real-time speech-to-speech translation in all languages, even those that are spoken but not are often written.
“Meta AI has built the first speech translator that works for languages that are primarily spoken rather than written,” said Mark Zuckerberg, CEO of Meta. We’re making this open source so people can use it for more languages.”
According to Meta, the model is the first AI-powered speech translation system for the Hokkien unwritten language, a Chinese language spoken in southeastern China and Taiwan and by many in the Chinese diaspora around the world.
- Deloitte State of AI Report 2022 Calls Out Underachievers
Deloitte today released the fifth edition of its State of AI in the Enterprise research report, which surveyed more than 2,600 global executives about how companies and industries are deploying and scaling artificial intelligence (AI) projects.
Most notably, the Deloitte report found that while AI continues to get tantalizingly closer to the core of the business – 94% of business leaders agree that AI is critical to success over the next five years – for some, the results seem behind to stay.
- Nvidia and Oracle Announce Expanded Cloud AI Partnership
Nvidia and Oracle today announced an expanded, multi-year partnership at Oracle CloudWorld to help customers accelerate the adoption of artificial intelligence (AI).
The partnership will bring Nvidia’s entire accelerated compute stack — from GPUs to systems to software — to Oracle Cloud Infrastructure (OCI).
OCI will add tens of thousands more Nvidia GPUs, including the A100 and the upcoming H100, to its capacity. Oracle says that along with OCI’s AI cloud infrastructure of bare metal, cluster networking, and storage, businesses will get a broad, accessible portfolio of AI training and deep learning options.
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