Machine Learning

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Hold on, we’re entering the age of the AI-accelerator

Technology accelerators speed things up, obviously. But then so does extra processing power, additional server space and drinking too much coffee - we are talking about the more considered use of IT accelerators in the new world of AI...

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Data poisoning: how to prevent the threat of biased AI outcomes

Machine learning models are not safe. Data poisoning is an emerging threat. But what is it, and how can organisations avoid it? Spiros Potamitis, Senior Data Scientist at SAS Global Technology Practice shares how this threat arises,...

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Live facial recognition technology – friend or foe?

Live facial recognition technology offers many benefits, but concerns still abound regarding privacy and data protection. We ask whether the benefits outweigh the risks, and how public trust in the technology could grow.

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How knowledge graphs help enterprises contextualise information like the human mind

Enterprises often find difficulty in applying insights from AI because of a lack of context, this is where knowledge graphs come in.

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AI faces its biggest ‘decision’ yet

Artificial Intelligence and its ability to perform different strains of Machine Learning functions is arriving at the point where it will need to make the biggest ‘decision’ of its life so far - can learning itself be automated to be...

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What if the weapons of AI were turned on itself?

Here artificial intelligence (AI) is under investigation by Detectives Machine Learning, Neural Networks and Federated Learning. Now we could get some answers!

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AI brain gardening, why pruning can yield sweeter fruit

On the journey to explainable, understandable, unbiased and wholly business-applicable AI, knowing what order machine brains learn in is key to being able to access machine intelligence and so gauge its worth when applied to modern...

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