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Arm 发布第二代移动终端计算子系统 CSS for Mobile 2，支持双 SME2 引擎，神经加速 GPU
IT之家 9 月 8 日消息，Arm 今天在上海举办年度旗舰活动 Arm Everywhere China，并在会上发布了第二代移动终端计算子系统 CSS for Mobile 2。这是一个面向智能体 AI 与 AI 原生图形的计算平台，集成了 Arm C2 CPU 集群、Mali G2-Ultra…
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Arm 发布云和数据中心计算子系统 Neoverse CSS N4，支持 LPDDR6、PCIe Gen7
IT之家 9 月 8 日消息，Arm 今日在 Arm Everywhere China 年度大会上发布了其面向云和数据中心的新款计算子系统 (Compute Subsystems) Neoverse CSS N4。 Neoverse CSS N4 面向智能体基础设施， 是 Arm 迄今为止可配置性最…
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AIVC只是前菜！复旦提出生命算子，统一生命建模
连发六篇Nature期刊，复旦Neolab打通全尺度生命推演
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Mental Model Management: An Operator-Based Framework for LLM Memory
用算子式框架管理LLM心智模型，破解长文本记忆压缩与动态更新的难题。
arXiv:2608.15451v1 Announce Type: new Abstract: Large language models process large amounts of information but usually lack an explicit mechanism for …
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华为官宣昇腾 0 Day 支持蚂蚁百灵 Ling-3.0-flash 模型，全新算子编程框架 CANN PyPTO 首秀
蚂蚁百灵Ling-3.0-flash开源模型，124B参数混合推理，昇腾0Day适配，能力对标旗舰
IT之家 8 月 6 日消息， 蚂蚁百灵昨日正式开源新一代原生混合推理模型 Ling-3.0-flash ，主打极致智能密度、全链路 Agent 闭环与低成本规模化落地。 华为官方今日宣布， 昇腾同步完成百灵 Ling-3.0-flash 模型 0 Day 适配 ，在适配的过程中，还首次引入 CAN…
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Benchmarking LLM Competence on Logical Inference over Probability Operators
大模型能否驾驭概率算子的逻辑推理？这项基准测试给出答案。
arXiv:2607.27405v1 Announce Type: new Abstract: Both expressions of uncertainty and inferences are ubiquitous in natural language, and valid inference…
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Operator learning for models of tear film breakup
用深度学习中的算子学习方法高效模拟泪膜破裂这一复杂物理过程，为生物流体力学提供了新工具。
arXiv:2601.08001v2 Announce Type: replace-cross Abstract: Tear film (TF) breakup is a key driver of understanding dry eye disease, yet estimating TF t…
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Koopman Dreamer: Spectrally Constrained Latent Dynamics for Stable World-Model Imagination
Koopman理论赋能世界模型，谱约束稳定想象生成，突破模型长期预测的不稳定瓶颈。
arXiv:2607.19719v1 Announce Type: new Abstract: Latent world models improve sample efficiency in continuous control by optimizing policies over imagin…
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太初元碁携手上海人工智能实验室举办AI4S和新型模型架构算子优化赛
太初元碁联合上海AI实验室，18万奖金池诚邀开发者挑战AI4S与算子优化前沿技术
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WAIC直击 | 十大开源社区「挤」进了一家GPU展台，沐曦凭什么？
沐曦GPU展台引来十大开源社区，PyTorch 2.8全部2410个算子一周适配完成，国产GPU生态加速新高度。
每个Token背后，都是一次开源协作
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An Agentic AI Scientific Community for Automated Neural Operator Discovery
提出基于多智能体AI社区的自治方法，自动发现神经算子，探索科研自动化新范式。
arXiv:2607.12122v1 Announce Type: new Abstract: We present an agentic approach to autonomous neural operator discovery based on an AI scientific commu…
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Nonparametric Control Koopman Operators
非参数化Koopman算子在控制领域的突破，为非线性系统建模与控制提供全新视角
arXiv:2405.07312v5 Announce Type: replace-cross Abstract: This paper presents a novel Koopman composition operator representation framework for contro…
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Reward Redistribution for CVaR MDPs using a Bellman Operator on L-infinity
用L-infinity Bellman算子解决CVaR马尔可夫决策过程奖励稀疏问题，理论创新扎实。
arXiv:2602.03778v2 Announce Type: replace-cross Abstract: Tail-end risk measures such as static conditional value-at-risk (CVaR) are used in safety-cr…
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Attend, Transform, or Silence: Operator-Level Visual Skipping for Efficient Multimodal LLM Inference
多模态大模型推理太慢？这项研究从算子级入手，实现视觉信息智能跳过，兼顾效率与精度。
arXiv:2606.31903v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) increasingly process long visual-token sequences, increasin…
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Operator Learning for Cubic Nonlinear Schr\"odinger Equation on Periodic Domains
将机器学习与偏微分方程结合，用算子学习破解周期域上的三次非线性薛定谔方程，开启科学计算新范式。
arXiv:2606.27459v1 Announce Type: new Abstract: We consider the cubic nonlinear Schr\"odinger (NLS) equation on two-dimensional flat tori with varying…
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Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty
量子计算与深度学习交叉前沿：共形预测赋予量子算子网络可靠的不确定性估计，实现可扩展的无分布可信学习。
arXiv:2605.00330v2 Announce Type: replace Abstract: Operator learning enables fast surrogate modeling of high-dimensional dynamical systems, but exist…
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UltraSketchLLM: Sub-1-Bit LLM Compression via Sketch and Hardware-Friendly Operators
突破性LLM压缩至低于1比特，结合草图算法与硬件友好算子，实现极致模型瘦身。
arXiv:2506.17255v2 Announce Type: replace-cross Abstract: Large language models (LLMs) require larger GPU memory size these days, necessitating effici…
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Aligning Quantum Operators with Large Language Models
首次提出将酉算子映射到LLM可理解的形式，探索AI理解量子世界的新路径
arXiv:2606.13811v1 Announce Type: cross Abstract: Can Large Language Models (LLMs) understand and reason about quantum operators? Despite their remark…
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Harness In-Context Operator Learning with Chain of Operators
大模型上下文学习新范式：CoO（Chain of Operators）让模型像执行程序一样连续调用算子，提升复杂任务推理能力。
arXiv:2606.12318v1 Announce Type: cross Abstract: Neural operators approximate mappings between function spaces, but often generalize poorly to other …
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Operator Fusion for LLM Inference on the Tensix Architecture
聚焦Tenstorrent Tensix架构的LLM推理瓶颈，提出RMSNorm与矩阵乘融合的算子优化策略，提升数据局部性。
arXiv:2606.09879v1 Announce Type: new Abstract: This study addresses on-device inference bottlenecks of Transformer models on Tenstorrent's Tensix arc…