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Jaime Hampton

Sarasota

Contributing Editor at HPCwire

Contributing Editor at BigDATA Wire

Managing Editor at EnterpriseAI

Articles

  • 5 days ago | bigdatawire.com | Jaime Hampton

    At its SAS Innovate 2025 conference in Orlando, SAS rolled out a series of updates aimed at helping businesses make better decisions with AI. The announcements touched on a broad set of topics, from digital twins and quantum computing to new AI models and updates to its Viya AI and analytics platform. Taken together, the message was clear: SAS is focused on building AI that is usable, governed, and designed for practical outcomes.

  • 1 month ago | aiwire.net | Jaime Hampton

    In the world of artificial intelligence, much of the spotlight has been focused on the training of massive models like GPT-4, Gemini, and others. These models require vast computational resources and months of training on specialized hardware. Yet, for all the attention paid to training, the most pressing challenge in AI today lies elsewhere: inference. Inference—the process of using a trained model to generate predictions or outputs—is where the rubber meets the road.

  • 1 month ago | aiwire.net | Jaime Hampton

    Nvidia announced Monday it plans to produce its AI supercomputers entirely in the United States. The company will work with a group of major manufacturing partners to establish a domestic supply chain for its Blackwell chips and systems. This is the first time Nvidia will carry out chip packaging and supercomputer assembly entirely within the United States.

  • 1 month ago | aiwire.net | Jaime Hampton

    April 14, 2025 — Data privacy comes with a cost. There are security techniques that protect sensitive user data, like customer addresses, from attackers who may attempt to extract them from AI models — but they often make those models less accurate. MIT researchers recently developed a framework, based on a new privacy metric called PAC Privacy, that could maintain the performance of an AI model while ensuring sensitive data, such as medical images or financial records, remain safe from attackers.

  • 1 month ago | aiwire.net | Jaime Hampton

    PISCATAWAY, N.J., April 14, 2025 — The emergence of AI has profoundly transformed numerous industries. Driven by deep learning technology and Big Data, AI requires significant processing power for training its models. While the existing AI infrastructure relies on graphical processing units (GPUs), the substantial processing demands and energy expenses associated with its operation remain key challenges.

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