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深圳新闻网2026年5月4日讯（深圳特区报记者 周雨萌）5月3日晚，在深圳湾万象城的荣耀阿尔法全球旗舰店，记者看到，荣耀的半马冠军机器人“闪电”联动张雪机车聚集超高人气，不少市民争相体验拍照。尽管傍晚还下着小雨，但并未阻挡市民的热情。这个“五一”假期，每当夜幕降临，深圳在璀璨灯火中又迎来新一波活力高峰。当晚8时，荣耀门店邀请市民一起观看WSBK夺冠直播，现场氛围热烈，不少市民举着“中国荣耀”手牌边

很多家长只关注孩子外在的多动行为和注意力涣散表现，却忽略了情绪心理状态对孩子专注力的核心影响，事实上，儿童注意力是否稳定，和情绪是否平和、心理是否健康有着密不可分的关联。存在多动注意力问题的孩子，内心往往更加敏感脆弱，情绪调节能力偏弱，容易因为小事产生焦躁、烦躁、自卑、叛逆、低落等负面情绪，情绪一旦出现波动，孩子大脑就会被负面情绪占据，根本无法静下心集中注意力做事，多动躁动的表现也会随之加重。负面

快科技5月4日消息，AMD下一代旗舰级Halo APU彻底藏不住了！最新爆料显示，代号Gorgon Halo的锐龙AI MAX+495，完整规格和实测跑分已经现身PassMark数据库。它隶属于AMD锐龙AI MAX400系列，是现役Strix Halo旗舰APU的正统换代产品。本次曝光的是PRO商用型号，核心规格与消费版完全一致。熟悉AMD产品线的玩家都清楚，Halo系列就是常规移动SoC的满血

●2017年，深圳在全国率先提出建设“青年发展型城市”；2022年，深圳入选全国青年发展型城市建设试点城市●至2025年底，深圳35岁以下青年创办的商事主体累计达151万家、占全市商事主体总量的32.4%●“青年驿站”开创全国先河，免费住宿延至15天，累计服务超4万人次深圳新闻网2026年5月4日讯（深圳特区报记者 郑思）青春深圳，意气风发。深圳连续3年位列中国“95后”人才吸引力城市第一；202

Planet Labs, a leading provider of daily data and insights about change on Earth, announced its plans to design a specialized version of the Tanager spacecraft. Together with Carbon Mapper, and with s

In this tutorial, we walk through a complete, hands-on journey of post-training large language models using the powerful TRL (Transformer Reinforcement Learning) library ecosystem. We start from a lig

In this tutorial, we explore how we can decode linguistic features directly from brain signals using a modern neuroAI pipeline. We work with MEG data and build an end-to-end system that transforms raw

In this tutorial, we take a deep dive into the TaskTrove dataset on Hugging Face and build a complete, practical workflow to efficiently explore it. Instead of downloading the full multi-gigabyte data

Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed. That approach works until reliability becomes critical. As LLMs move into prod

A model can behave perfectly one moment and degrade the next—without any change to your data, pipeline, or logic. The root cause often lies in something far more subtle: how your input is tokenized. B

If you have been running reinforcement learning (RL) post-training on a language model for math reasoning, code generation, or any verifiable task, you have almost certainly stared at a progress bar w

The bottleneck in building better AI models has never been compute alone — it has always been data quality. Meta AI’s RAM (Reasoning, Alignment, and Memory) team is now addressing that bottleneck dire

Mistral AI has been quietly building one of the more practical coding agent ecosystems in the open-source/weights AI space, and they are shipping its most significant infrastructure upgrade yet. Mistr

The fundamental tension in conversational AI has always been a binary choice: respond fast or respond smart. Real-time speech-to-speech (S2S) models — the kind that power natural-feeling voice assista

In this tutorial, we build a multi-agent workflow for biological systems modeling and explore how different computational components work together inside one unified systems biology pipeline. We gener