Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate – and think through – the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any ...

Abstract: Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to ...

High-performance lasers and photonic technolo-gies are opening up new growth prospects, particularly in microelectronics, energy, aerospace, and medical technology. These developments driving the ...

VMware migrations, storage partnerships, and AI inference tailwinds. Read here for a detailed investment analysis.

World models are getting the kind of money that tells you investors are looking past chatbots. The bet is simple: the next valuable AI system won't only answer you, it will understand the room it's ...

Robots with increasingly precise dexterity are becoming essential in everyday life and industrial settings, from assembling tiny smartphone components to assisting doctors in surgery. However, ...

Looped language model training cannot control hidden-state norm growth because RMSNorm normalizes scale away before the loss ...

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