MIT researchers develop AI to calculate material stress using images

Researchers from MIT have developed an AI tool for determining the stress a material is under through analysing images.

The pesky laws of physics have been used by engineers for centuries to work out – using complex equations – the stresses the materials they’re working with are being put under. It’s a time-consuming but vital task to prevent structural failures which could be costly at best or cause loss of life at worst.

“Many generations of mathematicians...

IBM aims to boost AI hardware performance with new Composer tool

IBM’s new AI Hardware Composer tool aims to boost the performance of analog AI hardware.

The tool is being released on the second anniversary of the IBM Research AI Hardware Center. IBM’s pioneering centre launched in 2019 with the aim of improving AI hardware compute efficiency by 2.5 times every year for a decade.

(Credit: IBM)

AI Hardware Composer claims to help both novice and experienced developers to create neural networks and tune analog devices to build...

OpenAI’s latest neural network creates images from written descriptions

OpenAI has debuted its latest jaw-dropping innovation, an image-generating neural network called DALL·E.

DALL·E is a 12-billion parameter version of GPT-3 which is trained to generate images from text descriptions.

“We find that DALL·E is able to create plausible images for a great variety of sentences that explore the compositional structure of language,“ OpenAI explains.

Generated images can range from drawings, to objects, and even manipulated...

NVIDIA sets another AI inference record in MLPerf

NVIDIA has set yet another record for AI inference in MLPerf with its A100 Tensor Core GPUs.

MLPerf consists of five inference benchmarks which cover the main three AI applications today: image classification, object detection, and translation.

“Industry-standard MLPerf benchmarks provide relevant performance data on widely used AI networks and help make informed AI platform buying decisions,” said Rangan Majumder, VP of Search and AI at Microsoft.

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Researchers achieve 94% power reduction for on-device AI tasks

Researchers from Applied Brain Research (ABR) have achieved significantly reduced power consumption for a range of AI-powered devices.

ABR designed a new neural network called the Legendre Memory Unit (LMU). With LMU, on-device AI tasks – such as those on speech-enabled devices like wearables, smartphones, and smart speakers – can take up to 94 percent less power.

The reduction in power consumption achieved through LMU will be particularly beneficial to smaller...

Google’s Model Card Toolkit aims to bring transparency to AI

Google has released a toolkit which it hopes will bring some transparency to AI models.

People are wary of big tech companies like Google. People are also concerned about AI. Combine the two and you've got a general distrust which can hinder important advancements.

Model Card Toolkit aims to step in and facilitate AI model transparency reporting for developers, regulators, and downstream...

Over 1,000 researchers sign letter opposing ‘crime predicting’ AI

More than 1,000 researchers, academics, and experts have signed an open letter opposing the use of AI to predict crime.

Anyone who has watched the sci-fi classic Minority Report will be concerned about attempts to predict crime before it happens. In an ideal scenario, crime prediction could help determine where to allocate police resources – but the reality will be very different.

The researchers are speaking out ahead of an imminent publication titled ‘A Deep Neural...

MIT software shows how NLP systems are snookered by simple synonyms

Here’s an example of how artificial intelligence can still seriously lack behind some human attributes: tests have shown how natural language processing (NLP) systems can be tricked into misunderstanding text by merely swapping one word for a synonym.

A research team at MIT developed software, called TextFooler, which looked for words which were most crucial to an NLP classifier and replaced them. The team offered an example:

“The characters, cast in impossibly...

Nvidia comes out on top in first MLPerf inference benchmarks

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The first benchmark results from the MLPerf consortium have been released and Nvidia is a clear winner for inference performance.

For those unaware, inference takes a deep learning model and processes incoming data however it’s been trained to.

MLPerf is a consortium which aims to provide “fair and useful” standardised benchmarks for inference performance. MLPerf can be thought of as doing for inference what SPEC does for benchmarking CPUs and general system...

Microsoft chief Brad Smith warns that killer robots are ‘unstoppable’

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Microsoft chief Brad Smith issued a warning over the weekend that killer robots are ‘unstoppable’ and a new digital Geneva Convention is required.

Most sci-fi fans will think of Terminator when they hear of killer robots. In the classic film series, a rogue military AI called Skynet gained self-awareness after spreading to millions of servers around the world. Concluding that humans would attempt to shut it down, Skynet sought to exterminate all of mankind in the interest of...