Category Technology/Electronics

Integer Addition Algorithm could Reduce Energy Needs of AI by 95%

image of computer screen with ai screen on it connected to a big energy source
Credit: AI-generated image

A team of engineers at AI inference technology company BitEnergy AI reports a method to reduce the energy needs of AI applications by 95%. The group has published a paper describing their new technique on the arXiv preprint server.

As AI applications have gone mainstream, their use has risen dramatically, leading to a notable rise in energy needs and costs. LLMs such as ChatGPT require a lot of computing power, which in turn means a lot of electricity is needed to run them.

As just one example, ChatGPT now requires roughly 564MWh daily, or enough to power 18,000 American homes...

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Holographic 3D Printing has the potential to Revolutionize Multiple Industries

Holographic 3D printing has the potential to revolutionize multiple industries, says researchers
HDSP concept and printed objects. Credit: Nature Communications (2024). DOI: 10.1038/s41467-024-50923-8

A pioneering technique shows how sound can be used to create entire objects quickly and at once. Researchers at Concordia have developed a novel method of 3D printing that uses acoustic holograms. And they say it’s quicker than existing methods and capable of making more complex objects.

The process, called holographic direct sound printing (HDSP), is described in a recent article in the journal Nature Communications. It builds on a method introduced in 2022 that described how sonochemical reactions in microscopic cavitations regions — tiny bubbles — create extremely high temperatures and pressure for trillionths of a second to harden resin into complex patterns.

Now, by embe...

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New Security Protocol Shields Data from Attackers during Cloud-Based Computation

Light securing a data pathway between a computer and a cloud-based computing platform
Caption: MIT researchers have developed a security protocol that leverages the quantum properties of light to guarantee that data sent to and from a cloud server remain secure during deep learning computations.
Credit: Christine Daniloff, MIT; iStock

The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model. Researchers developed a technique guaranteeing that data remain secure during multiparty, cloud-based computation. This method, which leverages the quantum properties of light, could enable organizations like hospitals or financial companies to use deep learning to securely analyze confidential patient or customer data.

Deep-learning models are being used in many fields, from health care diagnostics to financi...

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As LLMs Grow Bigger, they’re more likely to give Wrong Answers than Admit Ignorance

As LLMs grow bigger, they're more likely to give wrong answers than admit ignorance
Performance of a selection of GPT and LLaMA models with increasing difficulty. Credit: Nature (2024). DOI: 10.1038/s41586-024-07930-y

A team of AI researchers at Universitat Politècnica de València, in Spain, has found that as popular LLMs (Large Language Models) grow larger and more sophisticated, they become less likely to admit to a user that they do not know an answer.

In their study published in the journal Nature, the group tested the latest version of three of the most popular AI chatbots regarding their responses, accuracy, and how good users are at spotting wrong answers.

As LLMs have become mainstream, users have become accustomed to using them for writing papers, poems or songs and solving math problems and other tasks, and the issue of accuracy has become a bigger...

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