Traveling soon? Scoop up these nifty gadgets ahead of your travels for less.
Some of my favorite practical Bluetooth gadgets are also on sale during Amazon Prime Day.
6G will only expand the reach of fixed wireless access
ZDNET's editors are shopping for Prime Day just like you - and almost everything we're buying is under $100.
## 核心结论：Google Maps 综合实力更强，Apple Maps 更适合苹果生态用户 经过长时间的实际使用对比，**Google Maps** 在路线规划速度、AI 功能集成和探索发现丰富度上明显领先，而 **Apple Maps** 则凭借简洁的界面和与苹果设备的无缝整合，成为苹果用户的轻量级优选。 ### 为什么 Google Maps 仍是导航之王？ - **更快的路径规划**：Google Maps 利用实时交通数据和历史模式，能迅速提供多条备选路线，并动态调整建议。在高峰时段，其预估到达时间往往更精准。 - **AI 驱动的探索功能**：通过机器学习，Google Maps 可以根据你的偏好推荐附近餐厅、景点，甚至提供“热门时段”等信息。其“附近”功能远比 Apple Maps 细致。 - **丰富的数据层**：街景、室内地图、实时公交信息、骑行路线等，让 Google Maps 成为全能型工具。对于旅行规划，它还能同步酒店、航班信息。 ### Apple Maps 的独特优势 - **极简设计**：Apple Maps 界面更干净，没有广告干扰，导航提示更直观。对于日常通勤或短途出行，它足以胜任。 - **生态整合**：在 iPhone、iPad、Mac 和 Apple Watch 之间无缝同步，支持 Siri 语音控制，甚至能通过 CarPlay 提供“免打扰”模式。 - **隐私保护**：Apple 强调数据处理在设备端完成，不收集用户位置历史用于广告。这吸引了对隐私敏感的用户。 ### 关键差异对比 | 维度 | Google Maps | Apple Maps | |------|-------------|------------| | 路线准确性 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | | 探索发现 | ⭐⭐⭐⭐⭐ | ⭐⭐⭐ | | 界面简洁度 | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | 生态整合 | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | | 隐私保护 | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ### 我的最终选择 尽管 Apple Maps 近年来进步显著，但 **Google Maps 在核心导航能力和信息丰富度上仍然更胜一筹**。如果你经常需要探索新地点、依赖实时交通，或者需要跨平台使用，Google Maps 是更好的选择。 而对于只进行简单导航、且完全使用苹果设备的用户，Apple Maps 足以满足日常需求，甚至体验更流畅。 > 注意：本次对比基于个人长期使用体验，不同地区和场景下结果可能有所差异。
A prominent AI expert says that forward-deployed engineers are limited, and that the broader emerging category of AI engineers has the greatest career potential. Is he right?
arXiv:2606.23741v1 Announce Type: new Abstract: Causal reasoning, which encompasses the discovery of causal structures and the inference of causal effects, is fundamental to data-driven decision making. In practice, data for reliable causal analysis are often distributed across institutions and cannot be centralized due to privacy regulations or communication constraints. Federated learning (FL) addresses this by enabling collaborative analysis without raw data sharing, giving rise to the rapidl
arXiv:2606.23830v1 Announce Type: new Abstract: Molecular surfaces encode the geometric and physicochemical patterns that determine antibody-antigen recognition, central to epitope prediction. However, existing methods rely on sequences or backbone structures and struggle to capture discontinuous, surface-driven epitopes. This study presents SurfBind, a surface-centric learning framework for epitope prediction that operates directly on molecular surface representations. SurfBind integrates geome
arXiv:2606.23767v1 Announce Type: new Abstract: Headline accuracies on the Tuebingen cause-effect pairs are routinely compared across papers even though each is measured under its authors' own protocol -- different pair subsets, weightings, model-selection, and decision rates. We argue this is the wrong comparison and run the right one: a same-hands re-evaluation in which every method is run by us on the identical 102 pairs, with one strict rule -- no tuning and a decision forced on every pair.
arXiv:2606.23758v1 Announce Type: new Abstract: Domain generalization learns from multiple source domains to generalize to unseen target domains. However, it often neglects the realistic case of label mismatch between source and target. Open set domain generalization is then proposed to recognize unseen classes in unseen domains. A simple approach trains one-vs-all classifiers to separate each class and detect outliers as unknown. Yet, the imbalance between few positive samples and many negative
Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search
新上线arXiv:2606.23739v1 Announce Type: new Abstract: We present an automated large-scale search pipeline for heterogeneous 4-Expert Mixture-of-Experts (MoE4) architectures within the LEMUR neural network dataset ecosystem. Building on a hand-crafted heterogeneous MoE reference model, we replace manual design with a deterministic code-assembly generator that systematically combines base architecture families drawn from the LEMUR database into MoE4 ensembles, each governed by a convolutional gating net
arXiv:2606.23740v1 Announce Type: new Abstract: Offline reinforcement-learning losses (RFT, RIFT, DFT, Offline GRPO, DPO) are widely used to distill reasoning from large teachers into smaller students, and are typically compared on downstream accuracy alone. We ask whether they are mechanistically distinct or converge to a similar weight update. Training six methods (SFT, RFT, DFT, RIFT, Offline GRPO, DPO) on identical math rollouts from a single base model (Qwen3-4B) with attention-only LoRA, w
arXiv:2606.23742v1 Announce Type: new Abstract: Physical neural networks promise low-power machine learning by computing directly with analogue device physics, but most architectures force nonlinear device responses to act as scalar weights. Inspired by Kolmogorov-Arnold networks, we place trainable nonlinear functions on the connections, making each physical connection a learnable computational element. Realising these functions as analogue band-pass filters on field-programmable analogue array
arXiv:2606.23757v1 Announce Type: new Abstract: Extracting interpretable governing equations from sparse, noisy chemical time-series data remains difficult because discrete reaction topology and continuous kinetic parameters are tightly coupled. We present PC-MCMC-CIGP, a reproducible gray-box workflow that combines spike-and-slab topology sampling, hard conservation and thermodynamic screening, and a Chemical-Informed Gaussian Process (CIGP) residual model for parameter calibration and experime
These EcoFlow portable power stations and batteries are getting some big discounts during Prime Day 2026.
I track SSD deals, and found huge markdowns from top brands like WD, Samsung, and more for Amazon Prime Day.
HP OmniBook 3 凭借扎实的硬件和出色的电池续航，成为我今年测试过的性价比最高的笔记本电脑之一。虽然它没有最创新的设计或顶级性能，但其均衡表现足以挑战 MacBook Neo 的地位。 ## 硬件与续航：低调但实用 OmniBook 3 的亮点在于**2K OLED 屏幕**和**异常出色的电池寿命**。在测试中，它的续航能力远超同价位竞品，足以支撑一整天的工作。不过，屏幕亮度偏低，在户外强光下使用会有些吃力。 ## 性能与体验：够用但非顶尖 搭载主流处理器，日常办公、影音娱乐流畅无压力，但重度创作或游戏场景下稍显不足。扬声器表现也中规中矩，声音略显沉闷。 ## 性价比：真正的杀手锏 HP 将 OmniBook 3 定价在极具竞争力的区间，使其成为 MacBook Neo 的有力替代品。对于追求**高性价比**和**长续航**的用户来说，它无疑是一个值得考虑的选择。 ## 小结 OmniBook 3 不是一款完美的笔记本，但它精准地抓住了目标用户的核心需求。如果你需要一台可靠的日常办公伴侣，且预算有限，它值得关注。
Sony's WH-1000XM6 headphones bring best-in-class ANC and refined audio output.
This latest Pokémon Elite Trainer Box includes 9 booster packs and many competitive accessories for less than $100 during Prime Day.
Amazon Prime Day 2026 已正式开启，但并非所有折扣都值得入手。本文实时更新精选好价，涵盖 4K 电视、M5 MacBook、三星设备、SSD 等品类。 ## 今日必看优惠 - **Kasa Smart Plug Ultra Mini 4 件套**：24 美元（省 6 美元） - **Kindle 基础版**：85 美元（省 25 美元） - **Kindle Paperwhite 16GB**：125 美元（省 35 美元） - **Garmin Fenix 8 Pro**：950 美元（省 350 美元） ## 购买建议 Prime Day 虽热闹，但建议优先关注经过长期测试的推荐产品。部分标价可能并非历史最低，下单前可对比第三方价格追踪工具。 ## 持续更新 本页面将实时刷新，跟踪更多品牌如 **Lenovo**、**Apple**、**Samsung** 的闪购活动。建议收藏本页以便随时查看最新动态。