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AI in 2025: Purpose-driven models, human integration, and more

AI News

For this article, AI News caught up with some of the worlds leading minds to see what they envision for the year ahead. Smaller, purpose-driven models Grant Shipley, Senior Director of AI at Red Hat , predicts a shift away from valuing AI models by their sizeable parameter counts.

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Keeping an AI on Diabetes Risk: Gen AI Model Predicts Blood Sugar Levels Four Years Out

NVIDIA

A generative AI model can now predict the answer. and NVIDIA led the development of GluFormer , an AI model that can predict an individual’s future glucose levels and other health metrics based on past glucose monitoring data. trillion globally by 2030. billion people.

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The Future of Generative AI Is the Edge

Unite.AI

The advent of ChatGPT, and Generative AI in general, is a watershed moment in the history of technology and is likened to the dawn of the Internet and the smartphone. This article addresses each of these factors along with motivating examples to move Gen AI compute workloads to the edge.

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DeepMind Introduces JEST Algorithm: Making AI Model Training Faster, Cheaper, Greener

Unite.AI

Generative AI is making incredible strides, transforming areas like medicine, education, finance, art, sports, etc. This progress mainly comes from AI's improved ability to learn from larger datasets and build more complex models with billions of parameters.

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Synthetic Data: A Double-Edged Sword for the Future of AI

Unite.AI

The rapid growth of artificial intelligence (AI) has created an immense demand for data. Traditionally, organizations have relied on real-world datasuch as images, text, and audioto train AI models. According to Gartner , synthetic data is expected to become the primary resource for AI training by 2030.

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Sovereign AI gets boost from new NVIDIA microservices

AI News

These microservices are designed to simplify the creation and deployment of generative AI applications, supporting regionally-tailored community models. This move comes amidst an anticipated boom in the Asia-Pacific generative AI software market.

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For the planet and people: IBM’s focus on AI ethics in sustainability

IBM Journey to AI blog

.” Design, adopt and train AI with attention to sustainability The European Commission estimates that over 80% of all product-related environmental impacts are determined during their design phase. IBM’s concrete actions to support AI sustainability AI creation requires vast amounts of energy and data.

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