Top 5 stories of the week: DALL-E uses, Nvidia’s digital twins, Microsoft’s AI inference, Intel detects deepfakes

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Since the release of DALL-E to the public beta last month, many companies have begun to integrate its use for various cases across artificial intelligence (AI). Tome, a storytelling and concept forum, announced this week that its interactive slide feature is now backed by DALL-E technology. Users can apply DALL-E to help them with visual effects to clearly show what they are imagining. Tome says it is also working with GPT-3 to add more next-generation AI functionality to its upcoming platform.

Also on that generation AI spectrum, Microsoft this week revealed that learning to strengthen its Bonsai project will be supported by d-Matrix DIMC technology. The goal is to speed up AI inference. For context, the use of next-generation AI of a transformer model is essential for its functionality, but also a resource-intensive process. Conclusive systems in AI help with predicting and building results from a model. Microsoft’s move to speed up the process will improve the efficiency and deployment of next-generation AI models.

Nvidia also stepped forward this week with the announcement of advances aimed at improving its Omniverse by expanding science applications on top of high-performance computing systems. The company said this would allow the digital twins to gather data that is currently on various applications, models and user experiences. Dion Harris, lead product manager of high-speed computing, said it was a step towards the evolution of digital twins, from passive modeling to active global creation.

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Meanwhile, Intel’s news this week focuses on creating a world in a different way: eliminating deep fraud. The company has introduced a new tool called FakeCatcher, which it claims is 96% accurate and works by analyzing “blood flow” from images or videos and giving real-time results.

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Not surprisingly, along with the rise of new technologies such as deep fraud and new advances in AI, there is a need for increased security across sectors. In the VentureBeat Special Report on Zero Security, released this week, our authors outline how security is being tested and why the zero-trust approach is in the future. Part of the in-depth view also examines how some enterprises gain zero credibility, including a lack of understanding of what zero credibility is at its core and how to implement it properly.

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

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

    Tome has announced an interactive slide option backed by OpenAI DALL-E technology. The company, which calls itself a “new storytelling format for work and key ideas”, says it’s a natural fit to add a new generation of AI dimensions to the floor.

    “Making part of the storytelling experience really feels natural,” Tome CEO Keith Peiris told VentureBeat. “It feels more energetic than finding stock photos or art sets.


  1. Nvidia Omniverse to Support Scientific Digital Twins

    Nvidia has announced a number of key advances and partnerships to expand the Omniverse into high-performance computer science (HPC) software.

    It will support scientific digital twins that integrate existing data across applications, models, devices and other user experiences. Each.


  1. Why enterprises get zero confidence wrong

    The reality of adoption without trust is that it is a journey and not a goal. There are no quick fixes for implementing zero trust, as it is a security approach designed to be consistently implemented across environments to control user access.

    One of the main reasons why enterprises gain zero trust is not just about understanding what zero trust is, but also knowing how to implement it and which products can implement zero trust.

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  1. Microsoft’s new partnership accelerates next-generation AI developmentMicrosoft and d-Matrix have announced that learning to strengthen the Microsoft Project Bonsai will be supported by d-Matrix DIMC technology, which both vendors hope will provide significant acceleration for AI computing.

    “Project Bonsai is a platform that allows our version of deep learning enhancement, and we call it machine learning,” Kingsuk Maitra, chief AI engineer at Microsoft, told VentureBeat.


  1. Intel Introduces Real-Time Counterfeit Detector Demands 96% Accuracy

    On Monday, Intel introduced FakeCatcher, which it says is the first real-time detective of deep imitation, a synthetic media in which a person in an existing image or video is replaced by someone else’s resemblance. .

    Intel claims that the product has a 96% accuracy rate and runs with minimal “blood flow” analysis in video pixels to give millisecond results.


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