公司有编号为 1 到 n 的 n 个工程师，给你两个数组 speed 和 efficiency ，其中 speed[i] 和 efficiency[i] 分别代表第 i 位工程师的速度和效率。 请你返回由最多 k 个工程师组成的 最大团队表现值 ，由于答案可能很大，请你返回结果对 10^9 + 7 取余后的结果。
题目链接：https://leetcode-cn.com/problems/maximum-performance-of-a-team/
The recent announcement of ARM DynamIQ technology has generated a lot of curiosity within both the tech industry and the tech-savvy consumers, regarding the impact on the future of big.LITTLE technology. The short answer is that big.LITTLE technology is included as a part of DynamIQ. Let’s take a step back and see how this all ties in with the bigger picture.
◆ CL1850 is a higher integrated PWM flyback power switch, which integrated various HV-MOSFET. It provides several functions to enhance the efficiency to meets the criteria of global standards such as DoE Level VI and EU CoC V5 Tier-2. Meantime, it also provides excellent EMI-improved solution, and also built in complete protection. ◆ CL1850 is a multi-mode controller. At full load, the IC operates in fixed frequency CCM mode or QR mode based on the AC line. In this way, high efficiency in the universal input voltage at full load can achieved. At normal load, It operates in QR mode. When the load goes low, it operates in Green mode with Valley switching for high efficiency. When the load is very small, the IC operates in Burst mode to minimize the standby power loss. As a result, high efficiency can be achieved in the whole loading range. ◆CL1850 also built-in the leading-edge blanking (LEB) of the current sensing and feedback loop to screen the spike noise form any input signal. The internal slope compensation can limit the constant output over universal AC input range. The sawtooth over frequency function for EMI improved solution. ◆ Meanwhile, CL1850 also provides various protection, such as, OLP (Over Load Protection) ,VDD OVP (Over Voltage Protection) , Output OVP and VDD OVP to prevent the circuit damage from the abnormal conditions. ◆CL1850 is available in SOT-23-6L and DIP8 ◆CL1850 works with current sensing synchronous rectifier controllers, such as CLR6300, to achieve higher conversion efficiency and very compact power density..
The software development industry is extremely competitive these days, the clients want the projects to be developed on lower costs with a higher level of customer satisfaction. The lowering budgets, consistently increasing competitors in the market and higher complexity of projects has forced software and web app development companies to improve their working process. In the first decade of this century, Agile principles were adopted first and then later on the sprint for improvement has begun to improve the efficiency of web app development in every area.
Moving on to 3D and GPU workloads, we’re having a bit of a change in benchmarking format. I was very vocal about the current issue of peak and sustained performance.Particularly last year’s generation exasperated the issue of devices posting unrealistic performance figures which at the end were unsustainable for longer periods of time. This delta has become quite large to the point that posting only peak performance is just outright misleading and I no longer wish to support this reporting style anymore. Starting with today’s review, we’ll be showcasing GPU performance benchmarks with both their peak and sustained performances, and focusing on the sustained performance for evaluating things such as gaming performance.
在看python的API的时候，发现python的textwrap在处理字符串样式的时候功能强大
A. Kirill And The Game time limit per test：2 seconds memory limit per test：256 megabytes input：standard input output：standard output Kirill plays a new computer game. He came to the potion store where he can buy any potion. Each potion is characterized by
在DeepMind的官网blog里[3]，提到了Google使用DeepMind提供的AI技术，在机房的能耗上获得了大幅的削减，对应于PUE（Power Usage Effectiveness[19]）的减少。具体来说，通过build了一个Machine Learning的模型，对机房的PUE指标[14]趋势进行预测，从而指导制冷设备的配置优化，减少了闲置的用于制冷的电力消耗。从[3]里public出的指标来看，这项技术能够为Google减少15%的数据中心整体耗电量。而从[15]的数据来看，2014年，Google全年的电力消耗已经达到了4,402,836 MWh，这个数字相当于30多万美国家庭一年的电力消耗。所以15%的整体耗电量节省可以映射成上亿美元的资金节省[4]（对于这里节省的具体数字，我会有一些concern，认为实际的电量节省没有这么显著，我结合具体数字，估算的电力节省大约在5百万美元左右，在文末会有一些对应的细节分析）。 这是一个看起来很让人amazing的数字，从[5]里，能够看到一些更有趣的数字： 从2000年到2005年，全美的机房电力消耗累积增加了90%； 从2005年到2010年，全美的机房电力消耗累积增加了24%； 从2010年到2014年，全美的机房电力消耗累积只增加了4%。 而从[7]里，我们能够看到，服务器数量的增长速度可是显著高于上面的电力消耗增长数字： 2000年到2005年，服务器年复合新增率是15%（累积增长率100%）； 2005年到2010年，服务器年复合新增率是5%（累积增长率27%）； 2010年到2014年，服务器年复合新增率是3%（累积增长率12%）。 考虑到每年服务器的折旧淘汰率，不能简单地把服务器数量增长率与机房电力消耗增长率进行对比。不过，还是能够看到机房电力消耗的增幅持续下降的趋势要比服务器数量增幅的下降趋势更为明显。这从[7]里提供的一个关于机房能耗的趋势图可以更为直观地感受到：
Axolotl[1] 是一个旨在简化各种AI模型的微调过程的工具，支持多种配置和架构。
TBN:Convolutional Neural Network with Ternary Inputs and Binary Weights ECCV_2018 paper
Current Mode Operation for Excellent Line and Load Transient Response
PyTorch Profiler v1.9 现已发布，本版本旨在为用户提供全新工具，让用户无论是在一台还是多台机器上，都可以更轻松地诊断和修复机器学习性能问题。
阿尔兹海默症AD是痴呆中最为普遍的病症，约占痴呆病例的60-80%。AD的病理性标志是Aβ蛋白的沉积。近些年来，利用静息态fMRI对AD发病机制和影响标志物的研究发现AD患者许多脑区之间的功能连接如默认网络DMN出现异常。此外，图论方法可以通过计算全局和局部参数来表征脑网络的不同方面。这里，笔者为大家分享一篇发表在Clinical Neurophysiology杂志上的题目为《Identifying patients with Alzheimer’s disease using resting-state fMRI and graph theory》的研究论文，该论文利用静息态fMRI构建脑网络，计算脑网络的图论参数，以图论参数作为特征值，结合机器学习实现AD的100%准确率分类诊断。
特发性震颤（essential tremor, ET）是一种常见的神经系统疾病，ET往往同时伴随着运动症状（如震颤）和非运动症状（如认知问题，抑郁症状，睡眠问题等），但是这些症状潜在的神经机制尚不十分清楚，此外，关于ET患者的脑功能网络的研究也比较少。近期，发表在《Human brain mapping》杂志上的一篇研究论文对上述问题进行了研究，该篇论文通过收集ET患者的静息态fMRI数据，利用图论分析来研究ET患者功能脑网络的拓扑参数异常变化特征。这里，笔者对该论文进行简单的解读，希望论文的研究思路、方法对大家的研究有所启发和帮助。
从这期开始讲解awr报告的部分，上期说的是awr整体的部分，今天开始对里面的细节说起
In the rapid advancement of technology, Generative AI is increasingly becoming a key driver of innovation. By learning from large datasets, it can generate new content and has a wide range of applications, including text generation, image generation, music creation, and code generation. Major cloud providers offer a variety of AI services that enable enterprises and developers to easily build and deploy Generative AI applications. This article provides a detailed comparison of the cloud services for Generative AI from AWS, GCP, Azure, Alibaba Cloud, and Tencent Cloud.
本文转发Microwaves101 | Doherty Amplifiers，所有版权属于原作者。
笔者比较关注精神疾病脑功能网络的变化特征，因此，最近都在看相关的文献。本次，笔者就给大家分享一篇相关的论文，该论文发表于《Schizophrenia Research》杂志，题目为“Functional brain networks in treatment-resistant schizophrenia”。该研究论文主要结合静息态fMRI和图论来研究难治性精神分裂症的脑功能网络异常变化特征。这里，笔者对这篇论文做简单的剖析，希望对做相关研究的朋友有所帮助。
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks
版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/u014688145/article/details/71091333
社交焦虑症（SAD）是最常见的精神疾病之一，其通常伴随有精神共病症，严重的社交功能障碍，以及持续的情绪、认知和行为障碍。SAD的特点是焦虑加剧，对负面社会刺激的警惕性增加以及倾向于感知社会威胁。尽管近期的神经影像研究已经表明，与SAD相关的情绪和认知障碍与局部某些脑区功能和大脑区域之间的功能连接异常相关，但是目前对于SAD内在功能网络的拓扑结构是否异常却知之甚少。北京师范大学的贺永老师团队曾在NeuroImage杂志发表题目为《Network Analysis Reveals Disrupted Functional Brain Circuitry in Drug-Naive Social Anxiety Disorder》，采用静息态fMRI技术，对上述问题进行了系统研究。本文对该研究进行解读，希望对大家的研究有所帮助。
采用TIA博途中集成的能源管理套件（SIMATIC Energy Suite），无需编程，通过简单直观的组态就可实现
https://arxiv.org/abs/1803.04706 Abstract Continuous action policy search, the search for efficient
相比于碳化硅衬底，GaN on Silicon采用标准硅衬底，无疑在成本方面，会有巨大的优势。GaN on Silicon目前的性能怎么样？未来还有哪些需要突破的地方？本文展示了英飞凌在这方面的的一些突破和成就。
先问大家一个问题：去餐馆吃饭，哪些因素能让你为它打好评？ 无外乎这些方面：菜品好吃、上菜速度快、服务响应快、环境好……总结起来，其实是效果（好吃）、效率（速度）、体验（环境和服务）。 其实，评价一套培训体系，就像评价一家餐厅一样，重点就是3个“E”：效果（Effect）、效率（Efficiency）、体验（Experience）。 乐乐今天为大家揭秘的乐享三大培训“神器”，也正是围绕着这“3E”，为大家带来更优质的培训平台。 用数据大屏展现业务效果（Effect）；让新员工入职学习流程自动化，实现标准
Recent advances in human stem cell-derived brain organoids promise to replicate critical molecular and cellular aspects of learning and memory and possibly aspects of cognition in vitro. Coining the term “organoid intelligence” (OI) to encompass these developments, we present a collaborative program to implement the vision of a multidisciplinary field of OI. This aims to establish OI as a form of genuine biological computing that harnesses brain organoids using scientific and bioengineering advances in an ethically responsible manner. Standardized, 3D, myelinated brain organoids can now be produced with high cell density and enriched levels of glial cells and gene expression critical for learning. Integrated microfluidic perfusion systems can support scalable and durable culturing, and spatiotemporal chemical signaling. Novel 3D microelectrode arrays permit high-resolution spatiotemporal electrophysiological signaling and recording to explore the capacity of brain organoids to recapitulate the molecular mechanisms of learning and memory formation and, ultimately, their computational potential. Technologies that could enable novel biocomputing models via stimulus-response training and organoid-computer interfaces are in development. We envisage complex, networked interfaces whereby brain organoids are connected with real-world sensors and output devices, and ultimately with each other and with sensory organ organoids (e.g. retinal organoids), and are trained using biofeedback, big-data warehousing, and machine learning methods. In parallel, we emphasize an embedded ethics approach to analyze the ethical aspects raised by OI research in an iterative, collaborative manner involving all relevant stakeholders. The many possible applications of this research urge the strategic development of OI as a scientific discipline. We anticipate OI-based biocomputing systems to allow faster decision-making, continuous learning during tasks, and greater energy and data efficiency. Furthermore, the development of “intelligence-in-
To simplify code and eliminate a need for explicit memory management. To bring an object into a surrounding scope, thereby extending its lifetime.
I. 安装与配置 Centos 下可以直接通过yum进行安装 yum install mytop 使用姿势和top命令一样，直接用即可 mytop 可能提示没有权限，如下 # mytop !500Cannot connect to MySQL server. Please check the:
communication, information, source, destination, computational level goal, necessary subgoal
FS2462是泛海微自主开发的5A降压型同步整流芯片，是国内首家大电流同步5A芯片，内部集成极低RDS内阻20豪欧金属氧化物半导体场效应晶体管的(MOSFET)。输入工作电压宽至4.75V到21V，输出电压1.0V可调至20V。5A的连续负载电流输出可保证系统各状态下稳定运行。其效率高达95%，满足各系统日益增强的节能和持久工作的求。内部振荡频率500KHz ,以保证对系统其它部分的EMI干扰最小。该芯片还具有软启动和逐周期过流保护、短路保护及过温保护功能。 FS2462采用标准SOP-8(Exposed Pad)封装，充分考虑大电流负载的散热问题。将IC所产生的热量从芯片内部传导至引线框架，并通过底部的散热片到达PCB板铜面提高散热性能极大的保证了芯片大电流状态下的稳定性。
The paper argue that the efficiency and data privacy of Federated Learning are non-orthogonal from the perspective of model training, which means they are restricting each other. So that the paper strictly formulates the problem at first, and designs a cloud-edge-end hierarchical FL system with adaptive control algorithm embedding a two-level Differential Protection method to relieve both the resource and privacy concerns. The design follows the following ideas:
Brute force feature matching might not be fast enough for extremely large amounts of features. In practice, a k-d tree is often used to speed the search by constraining it spatially.
Understanding Financial Ratio Analysis: A Comprehensive Guide 理解财务比率分析：全面指南
这篇论文《Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach》教会了我们如何做粗排模型兼顾模型的效率和效果.提出了可学习的特征选择方法FSCD,并在真实电商系统中应用.
Three major smartphone SoC designers have now detailed their next-generation designs, which will power smartphones throughout 2019. Huawei was first with its Kirin 980, already powering the Huawei Mate 20 series. Samsung followed, announcing its Exynos 9820. Now Qualcomm’s just announced the Snapdragon 855.
What is Human Resource Management System (HRMS)? Why HRMS Software Development? What is HRMS? Why y
F.52 在lambda表达式中使用引用形式捕捉局部变量，包含向算法传递变量的情况。
一、概述 Overview 关于腾讯文档 | About Tencent Docs 腾讯文档自2018年4月上线以来，为众多用户提供服务，已积累超过30亿份文档。如今腾讯文档已经成为在线办公产品中大规模沟通协作的纽带，让更多的人将零碎分散的信息统一起来，优化信息流效率，提高办公、教育等各种情境下的协作效率。凭借这些提高工作效率、提升沟通便捷的优势，很多人都选择使用腾讯文档来办公。 Tencent Docs has been used by so many users since its launch in
Efficient wake word recognition on microcontrollers with Cortex-M55 and Helium technology for use in consumer and automotive products that include more and more AI features for voice applications.
模拟中逼真的人类行为是一个持续的挑战，它存在于社会科学、哲学和人工智能等几个领域之间。人类运动是一种特殊的行为类型，由意图（如购买杂货）和周围环境（例如好奇地看到有趣的新地方）所驱动。在线和离线提供的服务在规划路径时通常不会考虑环境，尤其是在休闲旅行中。有两种新颖的算法提出，以基于环境特征生成人样轨迹。基于吸引力的 A* 算法在计算信息中包括环境特征，同时，基于特征的 A* 算法在计算中还注入了来自真实轨迹的信息。人类相似方面已经由一位人类专家测试，认为最终产生的轨迹是现实的。本文在效率、功效和超参数灵敏度等关键指标中对两种方法进行比较。尽管根据我们预定义的指标生成更接近真实的轨迹，但我们将展示，与基于吸引力的 A* 算法相比，基于特征的 A* 算法在时间效率上如何不足，而这阻碍了模型在现实世界中的可用性。
As we get ever closer to the releases of various Android vendor’s newest generation devices, Qualcomm continues its tradition of showcasing the performance of its newest generation SoC ahead of time, giving us a preview and a glimpse of what to expect of the upcoming commercial devices. This year, the company has shuffled the schedule around a bit, and instead of hosting the event at their San Diego headquarters, and we were able to get a hands-on with the Snapdragon 855 at CES before the show had started. Today we’re be looking in quite extensive detail on how exactly the new Snapdragon chipset performs, as well as shedding some light on some important unanswered technical questions on some aspects of the SoC.
能源是支撑社会运转的核心，而随着技术的不断发展，人工智能的崛起为能源领域注入了新的活力。其中，自然语言处理（NLP）技术的应用成为推动能源行业向智能、高效方向发展的关键因素。本文将深入探讨NLP技术在能源领域的多个方面的应用，从智能能源管理到文本挖掘在能源数据分析中的角色，为读者呈现NLP如何提升能源行业效率、可持续性和智能化。
At the heart of the Exynos 9810 we see four Exynos M3 CPU cores, which run at thread-count dependent maximum frequency. This ranges from up to 2.7GHz in single-threaded scenarios, to 2.3GHz in dual-core mode, and 1.79GHz in full quad-core mode.
使用NIRS_SPM进行激活分析的步骤包括：对原始数据进行格式转化、使用定位信息创建MNI空间坐标、滤波、一阶建模、GLM模型评估、设置设计矩阵、计算beta值等。
---- 新智元报道 编辑：LRS 【新智元导读】在实验室训大模型不能用死劲儿，这篇综述教你四两拨千斤！ 深度学习领域已经取得了阶段性重大进展，特别是在计算机视觉、自然语言处理和语音等方面，使用大数据训练得到的大规模模型对于实际应用、提高工业生产力和促进社会发展具有巨大的前景。 不过大模型也需要大算力才能训得动，随着人们对计算能力要求的不断提高，尽管已有许多研究探索高效的训练方法，但仍然没有对深度学习模型加速技术的全面综述。 最近，来自悉尼大学、中国科学技术大学等机构的研究人员发布了一篇综述，全
The latest paper from Google, improve learning efficiency 50+ times
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本文基于WWW-2021论文《Personalized Approximate Pareto-Efficient Recommendation》。
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