AI 投研 – 第 13 页

6.0 AI 投研 Tech Xplore AI 2026-06-11

AI 投研 2026-06-11

Seeing through a robot’s eyes: Augmented reality helps humans predict machine behavior

AI 摘要：As robots increasingly move out of factories and into workplaces, hospitals, warehouses and public space

来源: Tech Xplore AI 6.0

7.8 AI 投研 Nature Machine Learning 2026-06-11

AI 投研 2026-06-11

Benchmarking large language models for cell-free RNA diagnostic biomarker discovery

AI 摘要：Benchmarking large language models for cell-free RNA diagnostic biomarker discovery

来源: Nature Machine Learning 7.8

6.0 AI 投研 Tech Xplore AI 2026-06-11

AI 投研 2026-06-11

The Indian workers training AI robots to take their jobs

AI 摘要：With a smartphone strapped to her head, Indian housewife Nagireddy Sriramyachandra films herself slicing

来源: Tech Xplore AI 6.0

7.8 AI 投研 Nature Machine Learning 2026-06-11

AI 投研 2026-06-11

Hip joint image quality screening based on the Diffusion Mamba model

AI 摘要：Hip joint image quality screening based on the Diffusion Mamba model

来源: Nature Machine Learning 7.8

7.8 AI 投研 Nature Machine Learning 2026-06-11

AI 投研 2026-06-11

Chromatix: a differentiable, GPU-accelerated wave-optics library

AI 摘要：Chromatix: a differentiable, GPU-accelerated wave-optics library

来源: Nature Machine Learning 7.8

7.8 AI 投研 Nature Machine Learning 2026-06-11

AI 投研 2026-06-11

Federated orthogonal learning for detection of liver lesions from multi-phase contrast-enhanced CT images

AI 摘要：Federated orthogonal learning for detection of liver lesions from multi-phase contrast-enhanced CT image

来源: Nature Machine Learning 7.8

7.8 AI 投研 Nature Machine Learning 2026-06-11

AI 投研 2026-06-11

Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performance

AI 摘要：Evaluating the role of pretraining dataset size and diversity on single-cell foundation model performanc

来源: Nature Machine Learning 7.8

8.0 AI 投研 Tech Xplore AI 2026-06-11

AI 投研 2026-06-11

MIT researchers channel AI to turn hand gestures into robot training data

MIT研究团队开发了一套结合AI与超声波腕带的机器人训练新方案，通过佩戴腕带捕捉人体皮下肌肉、肌腱与韧带的运动，将手部手势转化为机器人训练数据，可帮助类人机器人解决抓取杯子等复杂操作任务，有望降低训练门槛与成本，相关信息

来源: Tech Xplore AI 8.0

AI Radar Summary

MIT研究团队开发了一套结合AI与超声波腕带的机器人训练新方案，通过佩戴腕带捕捉人体皮下肌肉、肌腱与韧带的运动，将手部手势转化为机器人训练数据，可帮助类人机器人解决抓取杯子等复杂操作任务，有望降低训练门槛与成本，相关信息来自Tech Xplore AI的报道。

6.0 AI 投研 Tech Xplore AI 2026-06-11

AI 投研 2026-06-11

Why old EV batteries still go to waste—and how AI could change that

AI 摘要：Even though retired lithium-ion batteries often retain up to 80% of their capacity, significant economic

来源: Tech Xplore AI 6.0

8.0 AI 投研 EleutherAI Blog 2026-06-11

AI 投研 2026-06-11

RLHF and RLAIF in GPT-NeoX

本文来自EleutherAI官方博客，介绍该机构与SynthLabs合作后，开源大模型GPT-NeoX现已支持基于人类反馈强化学习（RLHF）与人工智能反馈强化学习（RLAIF）的训练后对齐微调。该更新可帮助开发者便捷地

来源: EleutherAI Blog 8.0

AI Radar Summary

本文来自EleutherAI官方博客，介绍该机构与SynthLabs合作后，开源大模型GPT-NeoX现已支持基于人类反馈强化学习（RLHF）与人工智能反馈强化学习（RLAIF）的训练后对齐微调。该更新可帮助开发者便捷地对GPT-NeoX进行针对性优化，提升模型输出与人类偏好、AI反馈标准的匹配度，属于AI大模型训练与对齐方向的研究进展。