Neural and Evolutionary ComputingTransfer Learning for Named-Entity Recognition with Neural NetworksJi Young Lee,Franck Dernoncourt,Peter SzolovitsComments: The first two authors contributed equally to this workSubjects:Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)Recent approaches based on artificial neural networks (ANNs) have shownpromising results for named-entity recognition (NER). In order to achieve highperformances, ANNs need to be trained on a large labeled dataset. However,labels might be diffi ...继续阅读 (23)

Neural and Evolutionary ComputingEnsemble of heterogeneous flexible neural trees using multiobjective genetic programmingVarun Kumar Ojha,Ajith Abraham,Václav SnášelJournal-ref: Applied Soft Computing, 2017, Volume 52 Pages 909 to 924Subjects:Neural and Evolutionary Computing (cs.NE)Machine learning algorithms are inherently multiobjective in nature, whereapproximation error minimization and model’s complexity simplification are twoconflicting objectives. We proposed a multiobjective genetic programming (MOGP)for creating a heterogeneous flexible neural tree (HFNT), tree ...继续阅读 (20)

作者：我偏笑_NSNirvana来源：简书浅谈机器学习基础（上）浅谈机器学习基础（下）浅谈深度学习基础（上）浅谈深度学习基础（下）浅谈自然语言处理基础（上）浅谈自然语言处理基础（中）浅谈自然语言处理基础（下）浅谈语音识别基础浅谈推荐系统基础浅谈搜索引擎基础（上）浅谈搜索引擎基础（下）浅谈数据挖掘基础浅谈知识图谱基础 ...继续阅读 (21)

1.【全球最大货币市场基金“限购”：余额宝个人投资上限或将小于50万元】余额宝计划将个人投资者投资上限由目前100万元调降逾一半。余额宝是目前全球最大货币市场基金，截至3月末，资产规模达1.14万亿元。<点评：在中国，开个互联网银行，hin难>相关链接：余额宝限购 个人投资上限或将小于50万元2.【香港中文大学终身教授贾佳亚博士加盟腾讯优图实验室】5月15日，香港中文大学终身教授贾佳亚博士加盟腾讯优图实验室。作为杰出科学家，贾佳亚将负责计算机视觉、图像处理、模式识别、机器学习等人工智能领域的研究，及人工智能与各应用场景结合的深度探索。加入腾讯前，贾佳亚曾与微软研究院、谷歌、高通、英特尔、Adobe等图像和人工智能研究机构开展过深度联合研究工作。他是前期和中期计算机视觉最著名的专家之一。<点评：教授+企业就像干柴+烈火，不好说谁成就谁，行业却火了>相关链接：香港中文大学终身教授贾佳亚博士加盟腾讯优图实验室3.【德国研发新锂电池 电动车一次充电能开1000公里】据外媒消息，德国和企业研发人员和科学家正在研发新的车用锂电池系统，在特斯拉电动车目前使用的锂电池体积下，他们计划实现1000公里的单次充电行驶里程。研究人员去掉了锂电池单元单独的封装方式，采用了一宗更薄的材料。据介绍，研究人员计划在2020年对这样的全新车用锂电池展开测试<点评：电动汽车三大痛点：快充，续航，丑。亲们看看先解决哪 ...继续阅读 (14)

Neural and Evolutionary ComputingGabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural NetworksSyed Shakib Sarwar,Priyadarshini Panda,Kaushik RoyComments: Accepted in ISLPED 2017Subjects:Neural and Evolutionary Computing (cs.NE); Computer Vision and Pattern Recognition (cs.CV)Convolutional Neural Networks (CNN) are being increasingly used in computervision for a wide range of classification and recognition problems. However,training these large networks demands high computational time and energyrequirements; hence, their energy-efficient implementation is of greatinterest. ...继续阅读 (16)

1.【中国成立“类脑国家实验室”“借鉴人脑”攻关人工智能】我国类脑智能技术及应用国家工程实验室日前在合肥成立，将借鉴人脑机制攻关人工智能技术，推进类脑神经芯片、类脑智能机器人等新兴产业发展。据介绍，类脑实验室的另一方面重要任务是推进产业化，研发面向类脑智能的核心芯片和操作系统、基于神经网络的类脑机器人等，推进类脑视频监控、语音交互、无人驾驶等产业发展。<点评：有实验室了，就有项目，就有钱，说明行业在发展>相关链接：中国成立“类脑国家实验室”“借鉴人脑”攻关人工智能2.【苹果2亿美元收购AI初创企业Lattice Data针对暗数据】据一些媒体报道，苹果近日以两亿美元的价格收购了人工智能初创企业Lattice Data。这是一家专门针对非结构化暗数据的初创企业。这些暗数据往往是大量存储在电脑网络中的非结构化数据，一般都没能按照正当的方式存放，因此，企业很难对这些数据进行分析和利用。Lattice Data利用人工智能来分析和充分利用这些数据。<点评：能不能帮我整理下电脑里缓存的无数表情包，我要拿去斗图>相关链接：苹果2亿美元收购AI初创企业Lattice Data 针对暗数据3.【德国首部自动驾驶汽车法案出台，通过安装“黑匣子”来明确事故责任】新的法案允许自动驾驶汽车在德国的公共道路上进行测试，在车辆自动驾驶系统可以自行操控方向盘以及制动的情况下，驾驶员可以手离方向盘，双眼也不用专注 ...继续阅读 (22)

Neural and Evolutionary ComputingA natural approach to studying schema processingJack McKay Fletcher,Thomas WennekersSubjects:Neural and Evolutionary Computing (cs.NE)The Building Block Hypothesis (BBH) states that adaptive systems combine goodpartial solutions (so-called building blocks) to find increasingly bettersolutions. It is thought that Genetic Algorithms (GAs) implement the BBH.However, for GAs building blocks are semi-theoretical objects in that they arethought only to be implicitly exploited via the selection and crossoveroperations of a GA. In the current work, we discover a mathem ...继续阅读 (21)

1.【英伟达的新GPU来了，FPGA和ASIC要扔掉吗？】美国时间5月10日，NVIDIA CEO黄仁勋在开发者大会GTC2017上发布新一代GPU架构Volta，首款核心为GV100，采用台积电12nm制程，最大亮点是成倍提升了推理性能，意欲在目前称霸机器学习训练场景的基础上，在推理场景也成为最佳商用选择。<点评：老黄是AI时代的“换机教主”>相关链接：英伟达的新GPU来了，FPGA和ASIC要扔掉吗？2.【国家教育事业发展“十三五”规划：鼓励利用AI、VR探索未来教育新模式】近日，国家发展和改革委员会发展规划司正式发布《国家教育事业发展“十三五”》。值得注意的是，《规划》中明确提出，要支持各级各类学校建设智慧校园，综合利用互联网、大数据、人工智能和虚拟现实技术探索未来教育教学新模式。<点评：春风吹，战鼓擂，教育智能股票飞>相关链接：国家教育事业发展“十三五”规划：鼓励利用AI、VR探索未来教育新模式3.【微软推出为帕金森病患者开发的可穿戴设备“Emma”】这项伟大的发明，可以帮助帕金森患者稳住颤抖的手，甚至可以拿笔写字。微软科学家张海燕，使用“微型震动电机”，制作了一款特制手表，并以此影响患者手部和大脑间的反馈机制，从某种意义上“抵消”了患者手部不自主的震颤。<点评：逻辑上是从主动降噪耳机“迁移学习”来的？>相关链接：Build 2017：微软“Project Emma”是为帕 ...继续阅读 (31)

Neural and Evolutionary ComputingHardware-Software Codesign of Accurate, Multiplier-free Deep Neural NetworksHokchhay Tann,Soheil Hashemi,Iris Bahar,Sherief RedaComments: 6 pagesSubjects:Neural and Evolutionary Computing (cs.NE)While Deep Neural Networks (DNNs) push the state-of-the-art in many machinelearning applications, they often require millions of expensive floating-pointoperations for each input classification. This computation overhead limits theapplicability of DNNs to low-power, embedded platforms and incurs high cost indata centers. This motivates recent interests in designing low ...继续阅读 (18)

1.【快9倍！Facebook开源机器学习翻译项目fairseq】今天，Facebook的人工智能研究团队发表了他们的研究成果Fairseq，他们使用了一种新型的卷积神经网络来做语言翻译，比循环神经网络的速度快了9倍，而且准确性也是现有模型中最高的。FAIR序列建模工具包的源代码和训练好的系统都已经在开源平台GitHub上公布。<点评：FB对CNN的特征应用的透彻啊，值得学习>相关链接：快9倍！Facebook开源机器学习翻译项目fairseq2.【百度端到端大规模语音识别系统Deep Speaker，箭在弦上即将发布 】今天百度研究院官网更新了一条新闻。文章标题为《Protected: Deep Speaker: an End-to-End System for Large-Scale Speaker Recognition》。从标题上看， Deep Speaker应该是百度即将发布的新一代语音识别技术。声纹识别是语音识别里一个比较窄的分支，通过对一种或多种语音信号的特征分析达到对未知声音辨别的目的，也就是说，可以通过声纹技术判断某句话是否为某个人所说。<点评：实时语音合成应用场景很多，估计以后声音很难采信为法庭证据了>相关链接：百度端到端大规模语音识别系统 Deep Speaker，箭在弦上即将发布3.【亚马逊Echo Show诞生意味着智能家居概念已成气候】一周多前，市场研究 ...继续阅读 (38)

Neural and Evolutionary ComputingDiscovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer DetectionMohammad Javad Shafiee,Audrey G. Chung,Farzad Khalvati,Masoom A. Haider,Alexander WongComments: 8 pagesSubjects:Neural and Evolutionary Computing (cs.NE); Computer Vision and Pattern Recognition (cs.CV); Learning (cs.LG)While lung cancer is the second most diagnosed form of cancer in men andwomen, a sufficiently early diagnosis can be pivotal in patient survival rates.Imaging-based, or radiomics-driven, detection methods have been developed toa ...继续阅读 (58)

1.【微软拟推Cortana智能扬声器 争霸“家庭枢纽”】外媒报道称，微软公司宣布已经与音频设备制造商Harman Kardon展开合作，打造有语音激活智能助理Cortana支持的智能扬声器Invoke。通过使用微软的Skype，用户可以像使用手机那样使用这款扬声器。微软此举将其推向与亚马逊Echo和Google Home直接竞争的位置，后2家的智能扬声器都被设计成智能设备和数字信息的“家庭枢纽”。<点评：语音助手+蓝牙音箱的组合是下一个搜索入口战场>相关链接：微软拟推Cortana智能扬声器 争霸“家庭枢纽”2.【亚马逊本周推新款Echo音箱 集成触摸屏支持视频通话】据外媒报道，亚马逊计划推出集成视频通话功能的新款Echo智能音箱。这将确保亚马逊在智能音箱市场领先竞争对手一步，继续在智能家居行业保持领先地位。新款Echo智能音箱将配备7英寸触摸屏，可以回答语音提问，并以更友好的方式提供关于电商搜索结果等信息。<点评：巨头们英雄所见略同>相关链接：亚马逊本周推新款Echo音箱 集成触摸屏支持视频通话3.【京东宣布进军物联网，刘强东宣布智能冰箱出世】京东宣布正式打造智能生活服务的场景入口，进军物联网产业。智能冰箱即将上市，通过内置双摄像头和图像识别技术，冰箱能准确地知告知主人缺少的食材，提醒食品的有效期，根据饮食习惯推荐食品购买。<点评：智能冰箱里面是满满的智能推荐商业逻辑，这个模式 ...继续阅读 (27)

Neural and Evolutionary ComputingMaking up for the deficit in a marathon runIztok Fister Jr.,Dušan Fister,Suash Deb,Uroš Mlakar,Janez Brest,Iztok FisterComments: ISMSI 2017Subjects:Neural and Evolutionary Computing (cs.NE)To predict the final result of an athlete in a marathon run thoroughly is theeternal desire of each trainer. Usually, the achieved result is weaker than thepredicted one due to the objective (e.g., environmental conditions) as well assubjective factors (e.g., athlete’s malaise). Therefore, making up for thedeficit between predicted and achieved results is th ...继续阅读 (26)

1.【Google尝试利用人脸识别技术，为安卓用户提供新的支付方式】Google计划将人脸识别技术应用到支付服务Android Pay中。据悉，1.22版Android Pay的安装包中发现了一项名为Visual ID的功能，该功能是在顾客进入商店时确认其身份的一种方式，而且安全性很高。在谈到如何保证用户隐私问题时，记者了解到，这个系统不会保存用户的照片，它只是跟顾客之前提供的照片进行比对后实时将照片删除。<点评：韩国整容业日后最火的就是整成马云>相关链接：Google尝试利用人脸识别技术，为安卓用户提供新的支付方式2.【Unanimous A.I.准确预测马克龙当选法国总统，背后靠的是什么？】曾经因预测希拉里将当选美国总统惨遭打脸的人工智能公司Unanimous A.I.，利用Swarm AI（集群人工智能）成功预测了法国大选的结果。Unanimous A.I.采用的并不是传统的问卷调查的形式，让你勾选一个答案，而是在每个问题下提供一个虚拟圆盘，用户可以将圆盘拖动到自己想要选择的答案位置，通过众人的“力量”将最终结果推向一个特定的位置。<点评：调查和预测的差别在哪>相关链接：Unanimous A.I.准确预测马克龙当选法国总统，背后靠的是什么？3.【谷歌研究员两万字批驳上交大用深度学习推断犯罪分子】不久前，上海交大的两位研究者发布了一项题为“利用脸部照片自动推断犯罪性”的研究， ...继续阅读 (22)

Neural and Evolutionary ComputingDeveloping All-Skyrmion Spiking Neural NetworkZhezhi He,Deliang FanSubjects:Neural and Evolutionary Computing (cs.NE)In this work, we have proposed a revolutionary neuromorphic computingmethodology to implement All-Skyrmion Spiking Neural Network (AS-SNN). Suchproposed methodology is based on our finding that skyrmion is a topologicalstable spin texture and its spatiotemporal motion along the magnetic nano-trackintuitively interprets the pulse signal transmission between two interconnectedneurons. In such design, spike train in SNN could be encoded as particle- ...继续阅读 (27)

1.【首届国家最高科技奖得主吴文俊逝世，享年９８岁】中国科学院数学与系统科学研究院今日发布讣告称，我国著名数学家、中国科学院院士、首届国家最高科技奖获得者吴文俊先生因病医治无效，于2017年5月7日7时在北京不幸逝世，享年98岁。吴文俊是我国最具国际影响的数学家之一，他对数学的核心领域拓扑学做出了重大贡献、开创了数学机械化新领域，对数学与计算机科学研究影响深远。相关链接：首届国家最高科技奖得主吴文俊逝世，都做过哪些贡献？2.【以色列研发机器人司机 比自动驾驶便宜】不少高科技企业在斥巨资研发如何让汽车自己开动的智能驾驶技术，以色列研究人员则另辟蹊径，发明出一位据说什么车都能驾驭的机器人司机。这款机器人外形简单，仅重15公斤，折叠后能放进手提箱内。他们让机器人在停车场驾驶高尔夫球车，目前正着手研究如何减轻机器人重量，计划今年年底前完成Beta测试，然后寻求商业开发。<点评：论创意，就服以色列人>链接：以色列研发机器人司机 比自动驾驶便宜 你心动吗?3.【黄仁勋：AI正在吃掉软件行业，电子设备最终会缩小成人体细胞】黄仁勋说：“这些机器学习方法，基于人工智能的方法，将定义未来的软件开发。现在，几乎每个创业公司，或者大公司都在自己开发软件；同样，未来每个创业公司都会用上AI。当我们把这些做到极限，电子设备将在我们的身体里，今天手机大小的设备，终有一天会缩小成为我们体内的一个细胞。”<点评：黄 ...继续阅读 (29)

Neural and Evolutionary ComputingDiscrete Modeling of Multi-Transmitter Neural Networks with Neuron CompetitionNikolay Bazenkov,Dmitry Vorontsov,Varvara Dyakonova,Liudmila Zhilyakova,Oleg Kuznetsov,Dmitri SakharovComments: 13 pages, 4 figuresSubjects:Neural and Evolutionary Computing (cs.NE); Neurons and Cognition (q-bio.NC)We propose a novel discrete model of central pattern generators (CPG),neuronal ensembles generating rhythmic activity. The model emphasizes the roleof nonsynaptic interactions and the diversity of electrical properties innervous systems. Neurons in the model release differ ...继续阅读 (37)

Neural and Evolutionary ComputingEvolutionary learning of fire fighting strategiesMartin Kretschmer,Elmar LangetepeSubjects:Neural and Evolutionary Computing (cs.NE)The dynamic problem of enclosing an expanding fire can be modelled by adiscrete variant in a grid graph. While the fire expands to all neighbouringcells in any time step, the fire fighter is allowed to block (c) cells in theaverage outside the fire in the same time interval. It was shown that thesuccess of the fire fighter is guaranteed for (c>1.5) but no strategy canenclose the fire for (cleq 1.5). For achieving such a critical th ...继续阅读 (27)

Neural and Evolutionary ComputingQuantified advantage of discontinuous weight selection in approximations with deep neural networksDmitry YarotskyComments: 12 pages, submitted to J. Approx. TheorySubjects:Neural and Evolutionary Computing (cs.NE)We consider approximations of 1D Lipschitz functions by deep ReLU networks ofa fixed width. We prove that without the assumption of continuous weightselection the uniform approximation error is lower than with this assumption atleast by a factor logarithmic in the size of the network.Balanced Excitation and Inhibition are Required for High-Capacity, ...继续阅读 (20)

Computer Vision and Pattern RecognitionVisual Attribute Transfer through Deep Image AnalogyJing Liao,Yuan Yao,Lu Yuan,Gang Hua,Sing Bing KangComments: Accepted by SIGGRAPH 2017Subjects:Computer Vision and Pattern Recognition (cs.CV)We propose a new technique for visual attribute transfer across images thatmay have very different appearance but have perceptually similar semanticstructure. By visual attribute transfer, we mean transfer of visual information(such as color, tone, texture, and style) from one image to another. Forexample, one image could be that of a painting or a sketch while the ...继续阅读 (20)

Neural and Evolutionary ComputingHow to Read Many-Objective Solution Sets in Parallel CoordinatesMiqing Li,Liangli Zhen,Xin YaoComments: 18 pages, 23 figuresSubjects:Neural and Evolutionary Computing (cs.NE)Rapid development of evolutionary algorithms in handling many-objectiveoptimization problems requires viable methods of visualizing a high-dimensionalsolution set. Parallel coordinates which scale well to high-dimensional dataare such a method, and have been frequently used in evolutionary many-objectiveoptimization. However, the parallel coordinates plot is not as straightforwardas the cla ...继续阅读 (21)

Neural and Evolutionary ComputingGenealogical Distance as a Diversity Estimate in Evolutionary AlgorithmsThomas Gabor,Lenz BelznerComments: Measuring and Promoting Diversity in Evolutionary Algorithms @ GECCO 2017Subjects:Neural and Evolutionary Computing (cs.NE)The evolutionary edit distance between two individuals in a population, i.e.,the amount of applications of any genetic operator it would take theevolutionary process to generate one individual starting from the other, seemslike a promising estimate for the diversity between said individuals. Weintroduce genealogical diversity, i.e., es ...继续阅读 (23)

Neural and Evolutionary ComputingA New Type of Neurons for Machine LearningFenglei Fan,Wenxiang Cong,Ge WangComments: 5 pages, 8 figures, 11 referencesSubjects:Neural and Evolutionary Computing (cs.NE); Learning (cs.LG)In machine learning, the use of an artificial neural network is themainstream approach. Such a network consists of layers of neurons. Theseneurons are of the same type characterized by the two features: (1) an innerproduct of an input vector and a matching weighting vector of trainableparameters and (2) a nonlinear excitation function. Here we investigate thepossibility of repla ...继续阅读 (34)

Neural and Evolutionary ComputingA Recurrent Neural Model with Attention for the Recognition of Chinese Implicit Discourse RelationsSamuel Rönnqvist,Niko Schenk,Christian ChiarcosComments: To appear at ACL2017, code available atthis https URLSubjects:Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)We introduce an attention-based Bi-LSTM for Chinese implicit discourserelations and demonstrate that modeling argument pairs as a joint sequence canoutperform word order-agnostic approaches. Our model benefits from a ...继续阅读 (25)

1. 我爱机器学习(1)Machine Learning Daily: 2017-04-262. 人工智能学家(4)腾讯区块链方案白皮书：底层技术平台及五大场景解决方案10位科技互联网领袖的趋势预测”独手人”大脑揭示神经学新组织理论浅说深度学习：核心概念 ...继续阅读 (28)

Neural and Evolutionary ComputingTapping the sensorimotor trajectoryOswald Berthold,Verena HafnerComments: Paper submitted to the ICDL-Epirob 2017 conference. Currently under reviewSubjects:Neural and Evolutionary Computing (cs.NE)We propose sensorimotor tappings, a new graphical technique that explicitlyrepresents relations between the time steps of an agent’s sensorimotor loop anda single training step of an adaptive model that the agent is using internally.In the simplest case this is a relation linking two time steps. In realisticcases these relations can extend over several time ste ...继续阅读 (30)

Neural and Evolutionary ComputingReinforcement Learning Based Dynamic Selection of Auxiliary Objectives with Preserving of the Best Found SolutionIrina Petrova,Arina BuzdalovaComments: this is a full version of a paper which has been accepted as a student workshop paper to GECCO conference 2017Subjects:Neural and Evolutionary Computing (cs.NE); Learning (cs.LG)Efficiency of single-objective optimization can be improved by introducingsome auxiliary objectives. Ideally, auxiliary objectives should be helpful.However, in practice, objectives may be efficient on some optimization stagesbut obstru ...继续阅读 (40)

1：【苹果自曝机器人Liam工作原理：由29个机器人组成】Liam，即专门拆卸iPhone的机器人，以便手机零部件能被回收利用。现在，苹果随同公司年度环境报告发布的“白皮书”称，Liam实际上是由29个不同的机器人组成，它们沿着一条传送带分布在21个工作站中。平均只需11秒钟，Liam就能将iPhone拆卸成8个不同部分。苹果估计，Liam每年可拆卸120万部iPhone 6。<点评：one more thing :苹果变形金刚>相关链接：苹果自曝机器人Liam工作原理：由29个机器人组成2：【百度集团副总裁、百度金融CRO王劲正式确认离职】继百度自动驾驶事业部总经理王劲离职后，另一个负责百度金融风控的同名副总裁王劲也从百度离职，自上任至今，王劲任期刚满16个月。2015年12月，李彦宏在调整架构推出百度金融业务群组之际，正式面向全员介绍了王劲的加盟。李彦宏还在内部信中介绍称，王劲在风险管理、计量模型和数据分析领域拥有丰富经验。<点评：另一位王劲高管离职，百度最近高管离职后劲挺足>相关链接：百度集团副总裁、百度金融CRO王劲正式确认离职3：【马变成斑马，冬天变夏天，新型人工智能上演72变】在一篇新文章中，加利福尼亚大学伯克利分校研究人员提出了一个新的模式，基本上允许用户以“循环一致”的方式转换图像，这意味着对原始图像的任何更改都将最终被保持完全可逆。例如，该算法可用于将斑马变成马， ...继续阅读 (61)

Neural and Evolutionary ComputingFeed-forward approximations to dynamic recurrent network architecturesDylan Richard MuirComments: 8 pages, 10 figuresSubjects:Neural and Evolutionary Computing (cs.NE); Neurons and Cognition (q-bio.NC)Recurrent neural network architectures can have useful computationalproperties, with complex temporal dynamics. However, evaluation of recurrentdynamic architectures requires solution of systems of differential equations,and the number of evaluations required to determine their response to a giveninput can vary with the input, or can be indeterminate altogether in ...继续阅读 (26)

1：【F8第二天，Facebook曝光逆天黑科技: 用皮肤读信息，用意识敲字符】Facebook神秘硬件部门Building 8正开发“脑机界面”，让用户在无需讲话或手动输入的情况下，用意识直接操作电脑，使用意识可以每分钟打100个单词。还在开发让人类能够通过皮肤获取语言信息的技术，帮助人们打破语言障碍。<点评：本来想好好学英语，看到这个消息就果断放弃了>相关链接：F8第2天, Facebook曝光逆天黑科技2：【豆瓣时间首个付费图文专栏上线，“诗与远方”的商业化后豆瓣还想怎么玩？】豆瓣时间会上线首个付费图文专栏《邪典电影本纪——亚文化电影50讲》，这是豆瓣时间自3月推出内容付费栏目后的第四个专栏，也是第一个图文专栏。该专栏定价68元，主要讲解50部杰出邪典电影以及”镜头背后一幅幅既荒诞且诡谲的文化图景。”<点评：从去年下半年至今，无论大家愿不愿意，内容付费的风刮起来了>相关链接：首发｜豆瓣时间首个付费图文专栏上线，推出“内容合伙人”制3：【纳斯达克：下一步将重点投资AI、区块链创业公司】4月20日报道，纳斯达克风投今日宣布，他们已经开始将投资视线转移到区块链、人工智能、下一代数据分析和机器学习领域的公司。纳斯达克风投表示，将会为相关创业公司投资约1000万美元，投资包括创业种子期和创业后期。<点评：啤酒厂开始全力造酒，有泡沫，有醇香，也是醉了>相关链接：纳 ...继续阅读 (25)