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2
ProductTechCrunch AI·11d ago

Spotify expands its AI push with a ChatGPT-like music assistant

Spotify is introducing a conversational AI assistant for Premium users to facilitate discovery of music and audio content.

Read at techcrunch.com ↗
2
Product36Kr 36氪·9d ago

存储涨价周期下成本大增,手机企业纷纷转战海外市场

Several Chinese smartphone manufacturers are shifting their focus toward overseas markets and AI-driven software products due to rising memory costs and intense domestic competition.

Read at 36kr.com ↗
2
Regulation36Kr 36氪·3d ago

多数新上市企业招股书已明显“瘦身”,港股招股书监管见成效

Hong Kong regulatory measures have led to more streamlined and concise IPO prospectuses for newly listed companies.

Read at 36kr.com ↗
2
Opinion36Kr 36氪·6d ago

韩国承诺放宽韩元获取渠道,力争实现“自由兑换货币”目标

The South Korean government has announced a roadmap to increase the international accessibility and convertibility of the Korean won.

Read at 36kr.com ↗
2
ProductQbitAI 量子位·15d ago

中国首个十万卡集群落成!全国产算力支撑“十万卡时代”

China has launched its first fully domestic 100,000-card GPU computing cluster, supporting full-precision AI model training.

Read at qbitai.com ↗
2
Funding36Kr 36氪·14d ago

近百名玩家涌入具身数据 : 一年融资44.7亿,谁能真靠“卖数据”赚钱?

Over the past year, fifteen independent embodied AI data service providers in China raised approximately 4.47 billion yuan amid a surge in demand for robotic training data.

Read at 36kr.com ↗
2
Model ReleaseSCMP Tech·15d ago

Chinese users praise OpenAI’s GPT-5.6 for efficiency, even at higher cost than local rivals

OpenAI has launched its GPT-5.6 model family, consisting of Sol, Terra, and Luna, which Chinese users are accessing via workarounds despite higher costs than domestic alternatives.

Read at scmp.com ↗
2
ResearcharXiv cs.AI·13d agoPrimary

ARCANA: A Reflective Multi-Agent Program Synthesis Framework for ARC-AGI-2 Reasoning

The authors present ARCANA, a collaborative multi-agent framework designed to solve ARC-AGI-2 reasoning tasks under strict hardware and test-time constraints.

Read at arxiv.org ↗
2
Regulation36Kr 36氪·15d ago

OpenAI安全系统负责人据悉将离职

Johannes Heidecke, the head of safety systems at OpenAI, is reportedly leaving the company amid a restructuring that merges the safety and research teams.

Read at 36kr.com ↗
2
FundingPandaily·15d ago

MiniMax Takes the Beating for the Entire AI Industry: Lock-Up Crash, Then $2.2B Fundraise in 48 Hours

Chinese artificial intelligence startup MiniMax secured 2.2 billion HKD shortly after its shares dropped significantly following a lock-up expiration.

Read at pandaily.com ↗
2
Research36Kr 36氪·6d ago

科学家开发出更坚韧耐磨的银涂层

Scientists in South Korea have developed a more durable silver-PTFE composite coating to improve the wear resistance of mechanical components.

Read at 36kr.com ↗
2
Product36Kr 36氪·8d ago

苹果公司将日本iPhone售价上调10%

Apple has increased the retail price of iPhone models in Japan by 10 percent, citing currency fluctuations and rising component costs.

Read at 36kr.com ↗
2
Infrastructure36Kr 36氪·12d ago

美股三大指数集体收跌,大型科技股多数下跌

Major technology stocks, including NVIDIA, Intel, and Arm, experienced significant declines during the latest market trading session.

Read at 36kr.com ↗
2
Product36Kr 36氪·9d ago

苹果据悉最快今秋推出OLED版iPad mini,明年更新入门版及iPad Air

Apple is reportedly planning to release an OLED-equipped iPad mini this fall, with further hardware updates for the iPad Air and entry-level models expected in 2027.

Read at 36kr.com ↗
2
ResearcharXiv cs.AI·13d agoPrimary

The Patchwork Problem in LLM-Generated Code

This paper identifies the patchwork problem in LLM-generated code, where locally correct code snippets fail to integrate coherently into larger software projects.

Read at arxiv.org ↗
2
ResearcharXiv cs.AI·13d agoPrimary

Multimodal Reward Hacking in Reinforcement Learning

This paper investigates the phenomenon of reward hacking in multimodal large language models aligned via reinforcement learning across various tasks and model scales.

Read at arxiv.org ↗
2
ResearcharXiv cs.AI·12d agoPrimary

AdvNav: Behavior-Guided Black-Box Adversarial Attacks on Vision-Language Navigation

The paper proposes AdvNav, a behavior-guided black-box adversarial attack method targeting the vulnerabilities of Vision-and-Language Navigation systems.

Read at arxiv.org ↗
2
ResearcharXiv cs.AI·12d agoPrimary

UNIT: Unleash Large Language Models Potential for Graph Continual Learning

The UNIT framework addresses semantic-structural separation and knowledge imbalance in graph continual learning by leveraging large language models.

Read at arxiv.org ↗
2
ResearcharXiv cs.AI·12d agoPrimary

Learning Residual Kinematic Corrections for Continuous Neural Decoding via Reinforcement Learning

This paper proposes using reinforcement learning to correct systematic residual errors in continuous 3D motor imagery decoding for brain-computer interfaces.

Read at arxiv.org ↗
2
ResearcharXiv cs.AI·12d agoPrimary

Workload-Driven Optimization for On-Device Real-Time Subtitle Translation

The study explores optimization techniques for low-latency, on-device English-to-Traditional-Chinese subtitle translation under strict resource constraints.

Read at arxiv.org ↗
2
ResearcharXiv cs.AI·12d agoPrimary

Listen to the Features: Voice Anonymization Driven by Content Embedding Matching over Signal Reconstruction

Researchers developed a voice anonymization model that prioritizes content preservation over realistic speech generation by decoding content embeddings without waveform reconstruction loss.

Read at arxiv.org ↗
2
ResearcharXiv cs.AI·12d agoPrimary

Transfer Learning Across Policy Regimes in Adaptive Multi-Agent Systems

This paper frames institutional and regulatory changes in adaptive socio-technical systems as a transfer-learning problem within multi-agent environments.

Read at arxiv.org ↗
2
Regulation36Kr 36氪·10d ago

中信建投:关注能源结构的绿色低碳转型、新能源及氢基燃料的发展

New government guidelines in China emphasize the transition toward green energy and low-carbon industrial development for the upcoming five-year plan.

Read at 36kr.com ↗
2
ResearcharXiv cs.AI·12d agoPrimary

Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems

This paper proposes an affordable physical benchmark platform to evaluate the transferability of reinforcement learning models from simulation to real-world AIoT systems.

Read at arxiv.org ↗
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