Top 5 Stories of the Week: DALL-E Uses, Nvidia Digital Twins, Microsoft AI Inference, Intel Detects Deepfakes

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As GIVE HIMSince the launch of the public beta version last month, several companies have begun incorporating its use for various cases in the artificial intelligence (AI) landscape. Tome, a storytelling and ideation platform, announced this week that its interactive slideshow functionality is now compatible with DALL-E technology. Users can apply DALL-E to help them with presentation images to accurately convey what they envision. Tome says that it is also working with GPT-3 to add more generative AI features to its platform in the near future.

Also on the generative AI spectrum, Microsoft announced this week that its Project Bonsai reinforcement learning will be compatible with d-Matrix DIMC technology. The goal is to speed up AI inference. For context, the use of transformer models by generative AI is imperative for its functionality, but it is also a resource-intensive process. Inference systems in AI help predict and generate results from a model. Microsoft’s move to speed up the process will help increase efficiency and deployment of generative AI models.

nvidia also advanced this week with the announcement of advancements aimed at improving its Omniverse, expanding scientific applications in addition to high-performance computing systems. The company said this will allow digital twins to bring together data that is currently siled across various applications, models and user experiences. Accelerated computing senior product manager Dion Harris said it’s a step toward the evolution of digital twins from passive modeling to active shaping of the world.

In the meantime, IntelThis week’s news focused on shaping the world in a different way: removing deepfakes. The company introduced a new tool called FakeCatcher, which it claims has a 96% accuracy rate and works by analyzing the “blood flow” of an image or video and returns results in real time.


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Unsurprisingly, along with the rise of new technologies like deepfakes and new advances in AI, comes the need for increased security across all industries. On a VentureBeat special report In this week’s zero-trust security blog, our writers highlight how security is being put to the test and why a zero-trust approach is the future. Part of the in-depth look also examines the ways in which some companies are err on zero trustincluding not understanding what zero trust is at its core and how to apply it correctly.

Here are more of our top 5 tech stories of the week:

  1. New DALL-E integration adds generative AI for next-level slides

    Tome announced interactive slide options supported by OpenAI’s DALL-E technology. The company, which calls itself the “new storytelling format for work and big ideas,” says it was a natural fit to add a generative AI dimension to presentations.

    “Making that part of the storytelling experience felt really natural,” Tome CEO Keith Peiris told VentureBeat. “It felt so much more powerful than searching for a stock photo or clip art; it’s giving us our first look at what generative storytelling can look like.”

  1. Nvidia Omniverse Will Support Scientific Digital Twins

    Nvidia has announced several important advancements and partnerships to extend Omniverse to scientific applications as well as high performance computing (HPC) systems.

    This will support scientific digital twins bridging the data silos that currently exist across different applications, models, instruments, and user experiences.

  1. Why companies are getting zero trust wrong

    The reality of zero trust adoption is that it is a journey and not a destination. There is no quick fix for implementing zero trust because it is a security methodology designed to be applied continuously throughout the environment to control user access.

    One of the biggest reasons companies get zero trust wrong is not just about understanding what zero trust is, but also knowing how to apply it and what products can implement zero trust.

  1. New partnership with Microsoft accelerates development of generative AIMicrosoft and d-Matrix announced that Microsoft Project Bonsai’s reinforcement learning will be compatible with d-Matrix DIMC technology, which the two vendors expect will provide significant acceleration for AI inference.

    “Project Bonsai is a platform that enables our version of deep reinforcement learning and we call it machine teaching,” Kingsuk Maitra, Principal Engineer for Applied AI at Microsoft, told VentureBeat.

  1. Intel Introduces Real-Time Deep Counterfeit Detector and Claims 96% Accuracy Rate

    On Monday, Intel introduced FakeCatcher, which it says is the first real-time detector of deepfakes, that is, synthetic media in which a person in an existing image or video is replaced with another person’s image.

    Intel claims the product has a 96% accuracy rate and works by analyzing the subtle “blood flow” in video pixels for millisecond results.

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