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Artificial Intelligence – A Guide for Thinking Humans

Henrik Warne

I really enjoyed reading Artificial Intelligence – A Guide for Thinking Humans by Melanie Mitchell. The author is a professor of computer science and an artificial intelligence (AI) researcher. However, at the same time I don’t see the network as intelligent in any way. million labeled pictures.

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ThirdAI raises $6M to democratize AI to any hardware

TechCrunch

Houston-based ThirdAI , a company building tools to speed up deep learning technology without the need for specialized hardware like graphics processing units, brought in $6 million in seed funding. Their algorithm, “sub-linear deep learning engine,” instead uses CPUs that don’t require specialized acceleration hardware.

Hardware 277
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Dulling the impact of AI-fueled cyber threats with AI

CIO

While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

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The mainframe’s future in the age of AI

CIO

If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. Many institutions are willing to resort to artificial intelligence to help improve outdated systems, particularly mainframes,” he says. “AI I believe you’re going to see both.”

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Exafunction aims to reduce AI dev costs by abstracting away hardware

TechCrunch

But they share a common bottleneck: hardware. New techniques and chips designed to accelerate certain aspects of AI system development promise to (and, indeed, already have) cut hardware requirements. Emerging from stealth today, Exafunction is developing a platform to abstract away the complexity of using hardware to train AI systems.

Hardware 243
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Gartner projects major IT spending increases for 2025

CIO

We have companies trying to build out the data centers that will run gen AI and trying to train AI,” he says. TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr.,