AI & RoboticsNews

Building resilience with AI threat modeling: Lessons from the Rate Companies

Financial services firms are fighting off increasingly sophisticated identity-based attacks intent on stealing billions and disrupting transactions, ultimately destroying trust that took years to build. Today, Rate operates with a “never trust, always verify” approach to validating identities, which is a core concept of zero trust. Using AI threat modeling, Rate can define least privileged…
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AI & RoboticsNews

Nvidia gets key design wins to bring AI to autonomous vehicle fleets

Nvidia has announced it has key design wins for autonomous vehicles with car makers such as Toyota, Aurora and Continental. These partners are part of a growing list for Nvidia, and they’re rolling out next-generation highly automated an autonomous vehicle fleets. Jensen Huang, CEO of Nvidia, made the announcements at his opening keynote speech at CES 2025. Nvidia announced today that those…
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AI & RoboticsNews

Microsoft’s new rStar-Math technique upgrades small models to outperform OpenAI’s o1-preview at math problems

Microsoft is doubling down on the potential of small language models (SLMs) with the unveiling of rStar-Math, a new reasoning technique that can be applied to small models to boost their performance on math problems using reasoning techniques — performance similar to, and in some cases exceeding, that of OpenAI’s o1-preview model. While still in a research phase — as outlined in a paper…
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AI & RoboticsNews

How Meta’s latest research proves you can use generative AI to understand user intent

Meta — parent company of Facebook, Instagram, WhatsApp, Threads and more — runs one of the biggest recommendation systems in the world. In two recently released papers, its researchers have revealed how generative models can be used to better understand and respond to user intent. By looking at recommendations as a generative problem, you can tackle it in new ways that are richer in content…
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