A flexible electronic skin stacks carbon nanotube layers to sense touch position and pressure simultaneously, performing ...
The transformer model improved F1 score by 13% and pinpoints apnea events to one second, offering a more efficient path than ...
Maris-Tech Ltd. (Nasdaq: MTEK, MTEKW) (“Maris-Tech” or the “Company”), a global leader in video and artificial intelligence ( ...
A Saudi scientific study has developed an intelligent model for detecting obstructive sleep apnea (OSA), a condition ...
Abstract: Coordinate classification is an efficient approach to 2-D human pose estimation (HPE), treating keypoint predictions as sub-pixel bins along horizontal and vertical axes, thereby avoiding ...
Flexible position encoding helps LLMs follow complex instructions and shifting states by Lauren Hinkel, Massachusetts Institute of Technology edited by Lisa Lock, reviewed by Robert Egan Editors' ...
The human brain vastly outperforms artificial intelligence (AI) when it comes to energy efficiency. Large language models (LLMs) require enormous amounts of energy, so understanding how they “think" ...
Summary: Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task. This ...
Instead of using RoPE’s low-dimensional limited rotations or ALiBi’s 1D linear bias, FEG builds position encoding on a higher-dimensional geometric structure. The idea is simple at a high level: Treat ...
Bipolar stepper motors provide precise position control while operating in an open loop. Industrial automation applications—such as robots and processing and packaging machinery—and consumer ...
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