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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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AI News Weekly - Issue #414: Inside Elon Musk’s messy breakup with OpenAI - Nov 22nd 2024

AI Weekly

domains name.com In The News Salesforce launches AI platform for automated task management Salesforce is now stepping up its AI game with Agentforce, a platform that lets businesses to build and deploy digital agents to automate tasks such as creating sales reports and summarising Slack conversations. Find available.ai

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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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Has AI Taken Over the World? It Already Has

Unite.AI

If a model is trained on flawed, biased, or low-quality data, it will produce unreliable or inaccurate results, regardless of how sophisticated the algorithm is. Just as flawed input data corrupts an AI model, constant exposure to misinformation, biased narratives, or propaganda skews human perception and decision-making.

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