Toshiaki Koike-Akino
PulseAugur coverage of Toshiaki Koike-Akino — every cluster mentioning Toshiaki Koike-Akino across labs, papers, and developer communities, ranked by signal.
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Neural network compression technique reduces model size by 23.4%
Researchers have developed a novel neural compression technique that leverages the inherent representational freedom of neural networks to reduce model size. By searching for function-preserving transformations and cont…
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New RAOA architecture uses radio propagation for neural computation
Researchers have introduced the Radio Alternating Operator Ansatz (RAOA), a novel recurrent computing architecture that leverages programmable radio propagation for computational depth. This approach alternates energy-d…
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Robots learn dexterous sushi manipulation with tactile feedback
Researchers have developed TacSushi, a novel world-action policy that utilizes tactile feedback to improve robotic manipulation of deformable objects like sushi. This system, built on the Cosmos3 model, learns from reco…
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LLM judges improve AI-drafted patents, but reliability varies
A new research paper introduces "Vibe Patenting," a testbed designed to evaluate the effectiveness of LLM judges in professional patent drafting. The study found that using LLM judges for iterative feedback significantl…
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EinSort method enhances LLM compression via index ordering
Researchers have developed EinSort, a novel method for compressing large language models by identifying inherent low-rank structures within their weights. This technique utilizes index ordering to discover these structu…