- 资讯公开站Energy Storage News
New South Wales grants approval to BayWa r.e.’s Bullawah hybrid wind and battery project in Australia
- 资讯公开站Digitimes
SK Hynix says Solidigm IPO remains undecided as AI storage demand drives investment
SK Hynix has reiterated that no decision has been made on a potential US initial public offering (IPO) or other external financing for its Solidigm subsidiary, as the company weighs investment needs driven by growing dem…
- 资讯公开站Digitimes
Toshiba reportedly to double HDD production as AI drives storage demand
Toshiba plans to double production capacity for hard disk drives (HDDs) used in AI data centers by fiscal 2027, investing about JPY60 billion (US$379.4 million) to expand its Philippine operations, according to Nikkei As…
- 论文公开站arXiv
Generative modeling of intrinsically disordered protein regions by reinforcing sparse autoencoder features
Intrinsically disordered protein regions (IDRs) play central roles in cellular processes such as transcriptional regulation, signal transduction, and subcellular localization, yet their functional design remains challeng…
- 论文公开站arXiv
The Missing Primitive: Diagnosing and Repairing Mathematical Reasoning in Large Language Models
While Large Language Models (LLMs) have demonstrated striking capabilities on frontier mathematical problems, it remains unclear whether they possess the structural mathematical understanding underlying their solutions. …
- 论文公开站arXiv
Cost-augmented Schrödinger bridges on graphs are exactly solvable: a Feynman-Kac tilt replaces learned control
The generalized Schrödinger bridge on a graph moves mass between two distributions while charging a cost for the states visited. It has been approached by learning the rates of a controlled continuous-time Markov chain, …
- 论文公开站arXiv
FERPO: Forward Entropy-Regularized Policy Optimization
Several state-of-the-art methods for online reinforcement learning in continuous control improve policies using action gradients of a learned critic. However, critics are typically trained to predict returns, and accurat…
- 论文公开站arXiv
SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation
High-resolution 3D generation increasingly relies on voxel latents and multi-stage pipelines that first predict active structure and then synthesize local geometry. While effective, this design fragments continuous surfa…
- 资讯公开站CNX Software
ASRock Industrial NUC 300 series – Intel Core 3 304/Core 5 320 mini PCs and motherboards
ASRock Industrial has introduced the NUC Core 300 BOX series of mini PCs and the NUC Core 300 motherboards built around Intel Core Series 3 Wildcat Lake-U processors. The lineup includes the NUC BOX-320, with the Intel C…
- 资讯公开站MIT Technology Review
How smaller, distributed batteries could help the grid
If you want to install a big battery in New York City, you have to cut through a notoriously tough tangle of regulations. That’s made it difficult to get large energy storage projects on the grid. Faced with those obstac…
- 资讯公开站EE Times
Qualcomm Doubles Down on Agentic AI at Snapdragon Summit 2026
- 资讯公开站rss_arxiv_cs_ai
Self-Evolving Harness on Multiple Tasks with the Agent as Its Own Optimizer
arXiv:2609.38372v1 Announce Type: new Abstract: A harness is the code around a language-model agent that organizes prompts, calls tools, manages context, and controls execution. As models grow stronger, recent work has …
- 资讯公开站Energy Storage News
Major US partnerships may signal battery storage’s infrastructure era
Battery energy storage systems (BESS) are increasingly being positioned as essential infrastructure investments rather than purely financial assets, as seen in a series of strategic partnerships announced in late Septemb…
- 资讯公开站Energy Storage News
Maharashtra’s regulator proposes mandatory BESS for renewable projects seeking grid connectivity in Indian state
- 资讯公开站Energy Storage News
Wärtsilä’s energy storage division rebrands through RCT Solutions joint venture
Wärtsilä’s energy storage business will now operate under the new brand name Varo, following the close of the company’s joint venture (JV) with RCT Solar.
- 资讯公开站Energy Storage News
California Energy Commission’s Noemí Gallardo on the state’s BESS expansion
Energy-Storage.news spoke with Noemí Gallardo, Commissioner at the California Energy Commission (CEC), at the US Solar & Storage Finance event in Garden Grove, California, about the growth of BESS within the state.
- 资讯公开站Energy Storage News
‘It will work, and it’ll be in Australia’: EORA Energy on the future of vanadium flow batteries
James Costello of EORA Energy discusses the shift from supplying battery technology to developing full energy infrastructure projects.
- 资讯公开站Energy Storage News
Sungrow completes 108MW grid-forming battery storage system with black start capability in Cambodia
- 资讯公开站Digitimes
Topco opens Fukuoka office to link Japan chip hubs
Topco Scientific said its Japanese subsidiary, Shunkawa, officially opened its Fukuoka office on October 1, making it the company’s third base in Japan alongside its Tokyo headquarters and Kumamoto office. The move…
- 资讯公开站Energy Storage News
Financial services group Orix builds 589MWh of BESS in Japan after securing first external investment
- 论文公开站arXiv
MatLoom: Layered Text-to-Material Generation in a Compact Program Space
Material generation should produce not only an appearance, but also the rules that construct it. We introduce MatLoom, a compact, layer-oriented language for text-to-material generation with pretrained language models. E…
- 论文公开站arXiv
Turbo Harness：实例自适应框架优化
Turbo Harness: Instance-Adaptive Harness Optimization
自动化搜索有效框架是实现智能体递归自我改进的重要一步。现有优化通常产出统一应用于所有任务的单一全局框架，但适用于某类任务的框架未必通用。
- 论文公开站arXiv
Ego4WAM：扩展第一人称人类数据用于机器人学习的关键因素
Ego4WAM: What Matters When Scaling Egocentric Human Data for Robot Learning?
第一人称人类数据为机器人学习提供可扩展经验，但在人机对齐、行为覆盖和监督信号上差异显著。已有工作显示数据越多效果越好，但哪些数据属性真正关键仍不明确。
- 论文公开站arXiv
图像分类器是高效的自监督视频表征学习器
Image Classifiers are Efficient Self-Supervised Video Representation Learners
提出 VideoMSN，一种用于视频高效自监督时空表征学习的掩码孪生网络框架。它不依赖重型3D架构或重建式自编码器，而是复用标准图像分类器处理无标注数据。
- 论文公开站arXiv
去除时间捷径可改进非侵入式脑机文本解码
Removing Timing Shortcuts Improves Non-Invasive Brain-to-Text
研究发现，多项报道的非侵入式脑信号词解码性能提升，在完全不用脑数据的情况下也能复现。在 d'Ascoli 等人（2025）的工作中，受试者感知连续语音的脑活动时间序列被分段处理。
