A research team has demonstrated that analog hardware using ECRAM devices can maximize the computational performance of artificial intelligence, showcasing its potential for commercialization. Their research has been published in Science Advances.

The rapid advancement of AI technology, including applications like generative AI, has pushed the scalability of existing digital hardware (CPUs, GPUs, ASICs, etc.) to its limits. Consequently, there is active research into analog hardware specialized for AI computation.

Analog hardware adjusts the resistance of semiconductors based on external voltage or current and utilizes a cross-point array structure with vertically crossed memory devices to process AI computation in parallel. Although it offers advantages over digital hardware for specific computational tasks and continuous data processing, meeting the diverse requirements for computational learning and inference remains challenging.

Google’s Gemini 1.5 Pro revolutionizes AI with top LMSYS scores, outperforming GPT-4 and Claude-3.5, promising transformative impact across industries while raising ethical questions.

This is a temporary transcription of Josha Bach’s talk on artificial intelligence philosophy at CCC 2023.

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Inspired by the map makers of the 20th Century, Imperial researchers have demonstrated a new way to identify copyright holders’ work in LLMs.

The technique was presented at the International Conference on Machine Learning in Vienna this week, and is detailed in this preprint on the arXiv server.

Generative AI is taking the world by storm, already transforming the day-to-day lives of millions of people.

An analysis of how rhinoceros beetles deploy and retract their hindwings shows that the process is passive, requiring no muscular activity. The findings, reported in Nature, could help improve the design of flying micromachines.

Among all flying insects, beetles demonstrate the most complex wing mechanisms, involving two sets of wings: a pair of hardened forewings called elytra and a set of delicate membranous hindwings. Although extensive research exists on the origami-like folds of their wings, little is known about how they deploy and retract their hindwings.

Previous research theorizes that thoracic muscles drive a beetle’s hindwing base movement, but experimental evidence to support this theory is lacking.

Proving earlier rumors to be true, chip manufacturer Intel has announced its plans to fire over 15% of its total workforce, amounting to between 15,000 and 19,000 employees, in an attempt to save $10 billion in 2025.

In a note sent by Intel CEO Pat Gelsinger to the workers, the director sang a familiar song of the firings being very painful news and the hardest thing he’s ever done in his career, attributing the decision to leave thousands of people unemployed by declining profits as Intel is “yet to fully benefit from powerful trends, like AI”

To address the issues the company faces these days, the CEO aims to cut operational costs, simplify Intel’s portfolio, eliminate overlapping responsibilities, halt non-essential work, and reduce Intel’s capital expenditures for 2024 by over 20%, leaving the company’s overall IDM 2.0 strategy, which includes priorities such as “expanding manufacturing capacity in the US and EU” and “delivering AI everywhere”, unchanged.

Some models are available to users without Chinese phone numbers, while open-source platforms provide other workarounds.