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Machine unlearning: Researchers make AI models ‘forget’ data

AI News

Researchers from the Tokyo University of Science (TUS) have developed a method to enable large-scale AI models to selectively “forget” specific classes of data. Progress in AI has provided tools capable of revolutionising various domains, from healthcare to autonomous driving.

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Are AI Models Becoming Commodities?

Unite.AI

Microsoft CEO Satya Nadella recently sparked debate by suggesting that advanced AI models are on the path to commoditization. On a podcast, Nadella observed that foundational models are becoming increasingly similar and widely available, to the point where models by themselves are not sufficient for a lasting competitive edge.

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New AI training techniques aim to overcome current challenges

AI News

OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods. Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think.

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The Fastest AI Model by Anthropic – Claude 3 Haiku

Analytics Vidhya

Introduction Imagine a world where artificial intelligence is not just about complex algorithms and high-tech jargon but about speed, efficiency, and accessibility. Welcome to that world, brought to you by the latest sensation in AI—Claude 3 Haiku.

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UK wants to prove AI can modernise public services responsibly

AI News

The UK Government wants to prove that AI is being deployed responsibly within public services to speed up decision-making, reduce backlogs, and enhance support for citizens. The ATRS aims to document how such algorithmic tools are utilised and ensure their responsible application.

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

Unite.AI

Although these advancements have driven significant scientific discoveries, created new business opportunities, and led to industrial growth, they come at a high cost, especially considering the financial and environmental impacts of training these large-scale models. Financial Costs: Training generative AI models is a costly endeavour.

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How Google’s AlphaChip is Redefining Computer Chip Design

Unite.AI

While bigger models boost AI's data processing power, they also require more processing power and energy efficiency. As AI models become more complex, traditional chip design struggles to keep pace with the speed and efficiency needed for modern applications.

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