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

Since the release of DALL-E in public beta last month, several companies have begun integrating its use into various instances of the artificial intelligence (AI) landscape. Tome, a storytelling and ideation platform, announced this week that its interactive slides feature is now supported by DALL-E technology. Users can apply DALL-E to help them with presentation visuals to convey precisely what they envision. Tome says he is also working with GPT-3 to add more generative AI features to his platform in the near future.

Also on the generative AI spectrum, Microsoft unveiled this week that its reinforcement learning project Bonsai will be supported by 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 is also a resource-intensive process. AI inference systems help predict and generate results from a model. Microsoft’s decision to speed up the process will help increase efficiency and deployment of generative AI models.

Nvidia also made progress this week with the announcement of advances to improve its Omniverse, extending scientific applications on top of high-performance computing systems. The company said this would allow digital twins to bring together data currently siled across various applications, models and user experiences. Accelerated Computing Senior Product Manager Dion Harris said it’s a step in the evolution of digital twins from passively modeling to actively shaping the world.

Meanwhile, Intel’s news this week focused on shaping the world in a different way: eliminating deepfakes. The company has introduced a new tool called FakeCatcher, which it says has a 96% accuracy rate and works by analyzing ‘blood flow’ from an image or video and returning the results in real time. .

Unsurprisingly, alongside the rise of new technologies such as deepfakes and new advances in AI, the need for increased security across all industries is growing. In a VentureBeat special report on zero-trust security published this week, our editors highlight how security is being tested and why a zero-trust approach is the future. Part of the in-depth review also looks at the ways some companies get zero trust wrong, including the failure to understand what zero trust is 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 higher-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 felt natural to add a generative AI dimension to decks.

   “Making that part of the storytelling experience felt really natural,” Tome CEO Keith Peiris told VentureBeat. “It was so much more powerful than looking for a photo or clip art – it kind of gave us a first look at what generative storytelling can look like.”

2. Nvidia Omniverse to support scientific digital twins

   Nvidia announced several significant advances and partnerships to extend the Omniverse to scientific applications in addition to high performance computing (HPC) systems.

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

3. Why Companies Get Zero Trust Wrong

   The reality of adopting zero trust is that it is a journey, not a destination. There is no silver bullet to implementing zero trust, as it is a security methodology designed to be continuously applied throughout the environment to control user access.

   One of the most important reasons companies get zero trust wrong is not only to understand what zero trust is, but also to know how to apply it and which products can implement zero trust. zero trust.

4. New partnership with Microsoft accelerates the development of generative AIMicrosoft and d-Matrix have announced that Microsoft Project Bonsai reinforcement learning will be supported on d-Matrix DIMC technology, which the two vendors hope will provide significant speedup for AI inference.

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

5. Intel Unveils Real-Time Deepfake Detector, Claims 96% Accuracy Rate

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

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