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Category: robotics/AI – Page 796

Samsung’s operating profit soars 930% as AI tailwinds drive demand for memory chips

In line with that ambition, Samsung on Tuesday said it has begun mass-producing high-performance memory chips, like HBM3E 8H (8-layer) DRAM, as well as V9 NAND chips, typically used in enterprise servers, AI and cloud devices. The company said it also intends to produce HBM3E 12H (12-layer) chips in the second quarter of this year.

Samsung is the world’s largest memory chip maker and competes with Micron and SK Hynix, a Korean memory chip maker, in the market for HBM chips. Micron kicked off its mass production of 8-layer HBM3E semiconductors in February, and last month at Nvidia’s GTC 2024, SK Hynix said it had also started mass producing HBM3E chips.

As for its foundry business, Samsung said its development of 3-nanometer and 2-nanometer AI chips is “progressing smoothly.”

The Casimir effect may not come from vacuum energy

Recently I saw a post on twitter claiming that AI could be powered with quantum vacuum energy. The post was accompanied by a figure from a paper published in Nature. Unfortunately for the poster, but fortunately for science, the paper had nothing to do with extracting energy from the vacuum. Rather, it was a description of an experimental realization of a transistor that uses the Casimir effect to mediate and amplify energy transfer across a new kind of transistor.

Meaningless fillers enable complex thinking in large language models

1/ Researchers have found that AI models can solve complex tasks like “3SUM” by using simple dots like “…” instead of sentences.

Researchers have found that specifically trained LLMs can solve complex problems just as well using dots like “…” instead of full sentences. This could make it harder to control what’s happening in these models.

The researchers trained Llama language models to solve a difficult math problem called “3SUM”, where the model has to find three numbers that add up to zero.

Usually, AI models solve such tasks by explaining the steps in full sentences, known as “chain of thought” prompting. But the researchers replaced these natural language explanations with repeated dots, called filler tokens.

Japan probe finds scars of micrometeoroid bombardment on asteroid Ryugu

Direct sample analysis offers several advantages over robotic explorers conducting it from the surface of an asteroid or planet and then beaming back the data.

It provides a window into understanding how the surface of a celestial body has changed due to its constant exposure to the harsh deep space environment.

The scientists conducted their analysis using electron holography, a technique in which electron waves infiltrate materials. This method has the potential to uncover key details about the sample’s structure and magnetic and electric properties.

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