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Zihan Wang

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Daily Paper Cast
Daily Paper CastGLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models 🤗 Upvotes: 79 | cs.CL Authors: GLM-4. 5 Team, :, Aohan Zeng, Xin Lv, Qinkai Zheng, Zhenyu Hou, Bin Chen, Chengxing Xie, Cunxiang Wang, Da Yin, Hao Zeng, Jiajie Zhang, Kedong Wang, Lucen Zhong, Mingdao Liu, Rui Lu, Shulin Cao, Xiaohan Zhang, Xuancheng Huang, Yao Wei, Yean Cheng, Yifan An, Yilin Niu, Yuanhao Wen, Yushi Bai, Zhengxiao Du, Zihan Wang, Zilin Zhu, Bohan Zhang, Bosi Wen, Bowen Wu, Bowen Xu, Can Huang, Casey Zhao, Changpeng Cai, Chao Yu, Chen Li, Chendi Ge, Chenghua Huang, Chenhui Zhang, Chenxi Xu, Chenzheng Zhu, Chuang Li, Congfeng Yin, Daoyan Lin, Dayong Yang, Dazhi Jiang, Din...
2025-08-1221 minWaukesha Bible Church
Waukesha Bible ChurchPhil. 3:1-11 "Don't Look at Yourself"Speaker: Zihan WangPaul warns Christians to turn away from false teaching and self-righteousness. He calls Christians to count all things as loss for the sake of knowing Christ.
2025-08-1142 minDaily Paper Cast
Daily Paper CastChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge 🤗 Upvotes: 21 | cs.CE, cs.AI Authors: Zihan Zhao, Bo Chen, Ziping Wan, Lu Chen, Xuanze Lin, Shiyang Yu, Situo Zhang, Da Ma, Zichen Zhu, Danyang Zhang, Huayang Wang, Zhongyang Dai, Liyang Wen, Xin Chen, Kai Yu Title: ChemDFM-R: An Chemical Reasoner LLM Enhanced with Atomized Chemical Knowledge Arxiv: http://arxiv.org/abs/2507.21990v2 Abstract: While large language models (LLMs) have achieved impressive progress, their application in scientific domains such as chemistry remains hindered by shallow domain understanding and limited reasoning capabilities. In this work, we focus on the...
2025-07-3122 minDaily Paper Cast
Daily Paper CastRethinking Verification for LLM Code Generation: From Generation to Testing 🤗 Upvotes: 23 | cs.CL Authors: Zihan Ma, Taolin Zhang, Maosong Cao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen Title: Rethinking Verification for LLM Code Generation: From Generation to Testing Arxiv: http://arxiv.org/abs/2507.06920v2 Abstract: Large language models (LLMs) have recently achieved notable success in code-generation benchmarks such as HumanEval and LiveCodeBench. However, a detailed examination reveals that these evaluation suites often comprise only a limited number of homogeneous test cases, resulting in subtle faults going undetected. This not only artificially inflates measured performance but...
2025-07-1122 minDaily Paper Cast
Daily Paper CastGLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning 🤗 Upvotes: 141 | cs.CV, cs.AI, cs.LG Authors: GLM-V Team, :, Wenyi Hong, Wenmeng Yu, Xiaotao Gu, Guo Wang, Guobing Gan, Haomiao Tang, Jiale Cheng, Ji Qi, Junhui Ji, Lihang Pan, Shuaiqi Duan, Weihan Wang, Yan Wang, Yean Cheng, Zehai He, Zhe Su, Zhen Yang, Ziyang Pan, Aohan Zeng, Baoxu Wang, Boyan Shi, Changyu Pang, Chenhui Zhang, Da Yin, Fan Yang, Guoqing Chen, Jiazheng Xu, Jiali Chen, Jing Chen, Jinhao Chen, Jinghao Lin, Jinjiang Wang, Junjie Chen, Leqi Lei, Letian Gong, Leyi Pan, Mingzhi Zhang, Qinkai Zheng, Sheng Yang, Shi Zhong, Shiyu Huang, Shuyuan Zhao, Siyan Xue, Sha...
2025-07-0324 minDaily Paper Cast
Daily Paper CastMiniCPM4: Ultra-Efficient LLMs on End Devices 🤗 Upvotes: 60 | cs.CL, cs.AI Authors: MiniCPM Team, Chaojun Xiao, Yuxuan Li, Xu Han, Yuzhuo Bai, Jie Cai, Haotian Chen, Wentong Chen, Xin Cong, Ganqu Cui, Ning Ding, Shengdan Fan, Yewei Fang, Zixuan Fu, Wenyu Guan, Yitong Guan, Junshao Guo, Yufeng Han, Bingxiang He, Yuxiang Huang, Cunliang Kong, Qiuzuo Li, Siyuan Li, Wenhao Li, Yanghao Li, Yishan Li, Zhen Li, Dan Liu, Biyuan Lin, Yankai Lin, Xiang Long, Quanyu Lu, Yaxi Lu, Peiyan Luo, Hongya Lyu, Litu Ou, Yinxu Pan, Zekai Qu, Qundong Shi, Zijun Song, Jiayuan Su, Zhou Su, Ao Sun, Xianghui Sun, Peijun Tang, Fan...
2025-06-1120 minDaily Paper Cast
Daily Paper CastSpatialLM: Training Large Language Models for Structured Indoor Modeling 🤗 Upvotes: 31 | cs.CV Authors: Yongsen Mao, Junhao Zhong, Chuan Fang, Jia Zheng, Rui Tang, Hao Zhu, Ping Tan, Zihan Zhou Title: SpatialLM: Training Large Language Models for Structured Indoor Modeling Arxiv: http://arxiv.org/abs/2506.07491v1 Abstract: SpatialLM is a large language model designed to process 3D point cloud data and generate structured 3D scene understanding outputs. These outputs include architectural elements like walls, doors, windows, and oriented object boxes with their semantic categories. Unlike previous methods which exploit task-specific network designs, our model adheres to the sta...
2025-06-1121 minDaily Paper Cast
Daily Paper CastMiMo-VL Technical Report 🤗 Upvotes: 58 | cs.CL Authors: Xiaomi LLM-Core Team, :, Zihao Yue, Zhenru Lin, Yifan Song, Weikun Wang, Shuhuai Ren, Shuhao Gu, Shicheng Li, Peidian Li, Liang Zhao, Lei Li, Kainan Bao, Hao Tian, Hailin Zhang, Gang Wang, Dawei Zhu, Cici, Chenhong He, Bowen Ye, Bowen Shen, Zihan Zhang, Zihan Jiang, Zhixian Zheng, Zhichao Song, Zhenbo Luo, Yue Yu, Yudong Wang, Yuanyuan Tian, Yu Tu, Yihan Yan, Yi Huang, Xu Wang, Xinzhe Xu, Xingchen Song, Xing Zhang, Xing Yong, Xin Zhang, Xiangwei Deng, Wenyu Yang, Wenhan Ma, Weiwei Lv, Weiji Zhuang, Wei Liu, Sirui Deng, Shuo Liu, Shimao Chen, Shi...
2025-06-0619 minDaily Paper Cast
Daily Paper CastA Controllable Examination for Long-Context Language Models 🤗 Upvotes: 30 | cs.CL Authors: Yijun Yang, Zeyu Huang, Wenhao Zhu, Zihan Qiu, Fei Yuan, Jeff Z. Pan, Ivan Titov Title: A Controllable Examination for Long-Context Language Models Arxiv: http://arxiv.org/abs/2506.02921v1 Abstract: Existing frameworks for evaluating long-context language models (LCLM) can be broadly categorized into real-world and synthetic tasks. Despite their utility, both approaches are accompanied by certain intrinsic limitations. Real-world tasks are too complex to interpret or characterize and are susceptible to data contamination. In contrast, synthetic tasks often adopt the needle-in-the-haystack (NIAH) format, whe...
2025-06-0621 minDaily Paper Cast
Daily Paper CastDeciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective 🤗 Upvotes: 33 | cs.CL, cs.AI Authors: Junnan Liu, Hongwei Liu, Linchen Xiao, Shudong Liu, Taolin Zhang, Zihan Ma, Songyang Zhang, Kai Chen Title: Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective Arxiv: http://arxiv.org/abs/2505.19815v1 Abstract: We propose a novel framework for comprehending the reasoning capabilities of large language models (LLMs) through the perspective of meta-learning. By conceptualizing reasoning trajectories as pseudo-gradient descent updates to the LLM's parameters, we identify parallels between LLM reasoning and various meta-learning paradigms. We formalize the training process for reasoning tasks as...
2025-05-2821 minManifold
ManifoldRobots, Small Models, and RL with DeepSeek Alumnus Zihan Wang — #86Zihan Wang is an AI researcher at Northwestern University, where he works on vision-language models, robotics, and reinforcement learning. Previously, he interned at DeepSeek, contributing to projects like DeepSeek-V2.Zihan's homepage:  https://zihanwang314.github.io/(00:00) - Introduction (01:13) - Zihan's Background, CS and AI Research in China (11:09) - DeepSeek; Human capital flow from PRC to US (16:07) - DeepSeek, Open Source and AI Research (31:52) - Model Size and Performance Constraints (33:01) - Data Bottleneck in Pre-trained Models (34:12) - Transformer Architecture and Scaling Laws (36:30) - Efficiency in Model Training (47:44) - Chain of Experts Architecture (01:01:06) - Future of AI a...
2025-05-221h 07Daily Paper Cast
Daily Paper CastQwen3 Technical Report 🤗 Upvotes: 117 | cs.CL Authors: An Yang, Anfeng Li, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Gao, Chengen Huang, Chenxu Lv, Chujie Zheng, Dayiheng Liu, Fan Zhou, Fei Huang, Feng Hu, Hao Ge, Haoran Wei, Huan Lin, Jialong Tang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jing Zhou, Jingren Zhou, Junyang Lin, Kai Dang, Keqin Bao, Kexin Yang, Le Yu, Lianghao Deng, Mei Li, Mingfeng Xue, Mingze Li, Pei Zhang, Peng Wang, Qin Zhu, Rui Men, Ruize Gao, Shixuan Liu, Shuang Luo, Tianhao Li, Tianyi Tang, Wenbiao Yin, Xingzhang Ren, Xin...
2025-05-2021 minDaily Paper Cast
Daily Paper CastMiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining 🤗 Upvotes: 53 | cs.CL, cs.AI, cs.LG Authors: Xiaomi LLM-Core Team, :, Bingquan Xia, Bowen Shen, Cici, Dawei Zhu, Di Zhang, Gang Wang, Hailin Zhang, Huaqiu Liu, Jiebao Xiao, Jinhao Dong, Liang Zhao, Peidian Li, Peng Wang, Shihua Yu, Shimao Chen, Weikun Wang, Wenhan Ma, Xiangwei Deng, Yi Huang, Yifan Song, Zihan Jiang, Bowen Ye, Can Cai, Chenhong He, Dong Zhang, Duo Zhang, Guoan Wang, Hao Tian, Haochen Zhao, Heng Qu, Hongshen Xu, Jun Shi, Kainan Bao, QingKai Fang, Kang Zhou, Kangyang Zhou, Lei Li, Menghang Zhu, Nuo Chen, Qiantong Wang, Shaohui Liu, Shicheng Li, Shuhao Gu, Shu...
2025-05-1421 minNature Magic Wand
Nature Magic WandThe Adventure Journey of NO.9Follow the brave cardboard box NO.9 on a rollercoaster journey from factory to rebirth! After protecting a fragile vase, NO.9 faces rejection and a landfill fate—until Granny Wang rescues him. Recycled into a new box, he delivers books, becomes a girl’s treasure chest, and learns his true purpose: every reuse saves the planet. Will you help NO.9’s friends avoid the trash bin?Credits:●Author: Kitty Li●Translator: Penny Peng●Editor: Kitty Li●Proofreaders: Kasey Jade Newton, Trevor Atkinson-DeraspVoice Cast:
2025-05-0907 minDaily Paper Cast
Daily Paper CastSongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation 🤗 Upvotes: 28 | cs.SD, cs.AI Authors: Zihan Liu, Shuangrui Ding, Zhixiong Zhang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang Title: SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation Arxiv: http://arxiv.org/abs/2502.13128v1 Abstract: Text-to-song generation, the task of creating vocals and accompaniment from textual inputs, poses significant challenges due to domain complexity and data scarcity. Existing approaches often employ multi-stage generation procedures, resulting in cumbersome training and inference pipelines. In this paper, we propose SongGen, a fully open-source, single-stage aut...
2025-02-2124 minDaily Paper Cast
Daily Paper CastHumanity's Last Exam 🤗 Upvotes: 33 | cs.LG, cs.AI, cs.CL Authors: Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Daron Anderson, Tung Nguyen, Mobeen Mahmood, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Jessica P. Wang, Pawan Kumar, Oleksandr Pokutnyi, Robert Gerbicz, Serguei Popov, John-Clark Levin, Mstyslav Kazakov, Johannes Schmitt, Geoff Galgon, Alvaro Sanchez, Yongki Lee, Will Yeadon, Scott Sauers, Marc Roth, Chidozie Agu, Søren Riis, Fabian Giska, Saiteja Utpa...
2025-01-2822 minDaily Paper Cast
Daily Paper CastDemons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models 🤗 Upvotes: 51 | cs.LG, cs.CL Authors: Zihan Qiu, Zeyu Huang, Bo Zheng, Kaiyue Wen, Zekun Wang, Rui Men, Ivan Titov, Dayiheng Liu, Jingren Zhou, Junyang Lin Title: Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models Arxiv: http://arxiv.org/abs/2501.11873v1 Abstract: This paper revisits the implementation of $\textbf{L}$oad-$\textbf{b}$alancing $\textbf{L}$oss (LBL) when training Mixture-of-Experts (MoEs) models. Specifically, LBL for MoEs is defined as $N_E \sum_{i=1}^{N_E} f_i p_i$, where $N_E...
2025-01-2323 minMy Own Hustle
My Own HustleCuriosity, Leadership, and a Shared Passion for the Human Side of BusinessToday, I’m joined by Sara McCabe and Catarina Haber, co-founders of Business Casual, a consultancy that help leaders & teams work better together by improving their systems and behavioursWe chatted about building a strong co-founder relationship, core values that guide their work, and the transition from employment to entrepreneurship. Connect with the guests:Sara’s linkedin: https://www.linkedin.com/in/sara-mccabe-11381387/ Cat’s linkedin: https://www.linkedin.com/in/catarinahaber/ Website: ​​https://www.businesscasual.ca/Connect with me on Linkedin: https://www.linkedin.com/in/zihan-wang-757247152/
2025-01-1453 minDaily Paper Cast
Daily Paper CastQwen2.5 Technical Report 🤗 Upvotes: 236 | cs.CL Authors: Qwen, :, An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, Huan Lin, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Yang, Jiaxi Yang, Jingren Zhou, Junyang Lin, Kai Dang, Keming Lu, Keqin Bao, Kexin Yang, Le Yu, Mei Li, Mingfeng Xue, Pei Zhang, Qin Zhu, Rui Men, Runji Lin, Tianhao Li, Tingyu Xia, Xingzhang Ren, Xuancheng Ren, Yang Fan, Yang Su, Yichang Zhang, Yu Wan, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zihan Qiu Title: Qwen2.5 Technical Report Arx...
2024-12-2125 minDaily Paper Cast
Daily Paper CastAceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling 🤗 Upvotes: 7 | cs.CL, cs.AI, cs.LG Authors: Zihan Liu, Yang Chen, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping Title: AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling Arxiv: http://arxiv.org/abs/2412.15084v1 Abstract: In this paper, we introduce AceMath, a suite of frontier math models that excel in solving complex math problems, along with highly effective reward models capable of evaluating generated solutions and reliably identifying the correct ones. To develop the instruction-tuned math models, we propose a supervised fine-tuning (SFT) process that first ach...
2024-12-2124 minMy Own Hustle
My Own HustleFearless Growth: Antonia Landi on Self-Belief and Taking RisksToday, I’m excited to welcome Antonia, a product operations coach and consultant who’s all about leaning into the discomfort of growth. She believes that “either you win or you learn” and has never let self-doubt stop her from sharing her experiences. Antonia approaches her work with both passion and humility, sharing insights that resonate deeply with her clients and the product community. She’s here to talk about her journey, the power of self-reflection, and how she navigates the balance between relentless dedication and maintaining objectivity. Relevant info:Antonia’s Website: www...
2024-11-1948 minMy Own Hustle
My Own HustleEmbracing the Messiness: Anamaria’s Journey to Building a Portfolio CareerAnamaria has a passion for people, learning, and community building. Her journey started with a background in psychology and human resources, which later led her to pivot into learning and development in the fast-paced world of startups. Today, she’s a full-time consultant, community builder, and the co-founder of the L&D Shakers community, which has over 5000 members.Anamaria’s path reflects her love for collective experiences and her drive to create spaces where people can learn and grow together. With experience building a product community at Butter and launching her own consulting business, she’...
2024-10-0948 minMy Own Hustle
My Own HustleFounding, Coaching, and a new Paradigm in LeadershipIn this episode, I chat with Bianca about her journey from founder to coach, exploring the importance of emotional mastery in leadership. We dive into:Recognizing and addressing founder burnoutThe need for a new leadership paradigmThe mind-body connection in entrepreneurshipEmbracing intuition and gut feelingsCreating safe spaces for emotional explorationMoving away from fear and embracing vulnerabilityThe role of coaching in emotional and embodied leadershipBooks mentioned:Becoming SupernaturalThe Body Keeps the ScoreMore book recommendations on emotional mastery and mental wellbeing:When the Body Says No : The Cost of Hidden Stress F...
2024-09-0455 minMy Own Hustle
My Own HustleTurning Passion into Purpose: A Refreshing Approach to Coaching Business and EntrepreneurshipConnecting with Phil:Website: https://www.forproductpeople.com/Podcast: https://www.talkingroadmaps.com/ Linkedin: https://www.linkedin.com/in/philhornby/ Phil left the corporate world in 2018 to start his own product coaching business called “For Product People,” focusing on product leadership coaching.Unlike many coaches who sell sessions by the hour, Phil offers a subscription model with three intensity tiers, depending on how much support you need.“If we get to the end of a session and feel like we haven't finished, we might book another one the next week, just to make pro...
2024-08-2144 minMy Own Hustle
My Own HustleBalancing Analytical Thinking with a Doer MindsetBüsra is a product coach for senior product leaders. In 2020, she left her role as Lead Product Manager at Doodle to start her own business, Producteer. Her coaching now focuses on product metrics and analytics.This episode is esp. relevant  for anyone exploring the field of product coaching or considering the choice between a leadership role and starting their own business.We delved into: Balancing taking action and overthinkingThe seemingly crowded product coaching space and its futureWhat’s so exciting about coachingSetting a yearly focus - “This year it’s all about X.”Overcoming...
2024-08-0749 minMy Own Hustle
My Own HustleGrowing a Coaching Service Like a Bootstrapped SaaS CompanyThis episode is highly tactical with lots of actionable advice on pricing, growth channel and business operation.My guest Daniel Hebert is the founder of SalesMVP Lab and a growth leader in B2B SaaS. He runs his coaching service like a bootstrapped tech startup. We discussed:Focus on metrics like MRRCreate different assets for each stage of the sales funnelDesign product offerings that grow with the customersCharges early and fairlyConnect with Daniel on Linkedin: https://www.linkedin.com/in/danielghebert/Check out his coaching at SalesMVP Lab: https://www.salesmvplab.com/
2024-07-2442 minMy Own Hustle
My Own HustleRediscover Joy, Passion and Motivation After a Mental ResetIn this conversation, Stef shares his experiences openly. As a lead generation expert, he’s seen the highs of making his client’s first million and the lows of needing to take a break and refund his clients.This episode is the most therapeutic one yet. We delve into MotivationDiscovering true passionIkigaiGetting ego out of the wayBuilding honest relationships with clientsFinding joy in small things like Kazu Don (yummy!)Building a solid support system.Check out Stef's service on Linkedin: https://www.linkedin.com/in/stef-curcio/ Connect with me on Linkedin: https://www.linked...
2024-07-0331 minMy Own Hustle
My Own HustleFreelancer to Business Owner: Scaling Impact Beyond TimeNiko's been on his solopreneur journey for 2.5 years. He's a product coach creating a SaaS tool to help product teams with continuous discovery.In this episode, we discuss:Overcome the fear to start freelancingFrom selling service to selling a productThe revenue fluctuation as a freelancerStay in the game during tough timesPersonal runway counterReach Niko on Linkedin: www.linkedin.com/in/niko-noll/Check out Juttu: juttu.coConnect with me on Linkedin: https://www.linkedin.com/in/zihan-wang-757247152/
2024-06-2639 minMy Own Hustle
My Own HustleAutonomy, Purpose, and Freedom: The Drive to Become a SolopreneurLing Shi is a former VP product turned solopreneur, specializing in burnout prevention and workplace wellbeing. In our conversation, we discuss:Transitioning from an “employee mindset” to an “entrepreneur mindset”Preparing for the solopreneurship journeyThe challenges so farBeing a good boss to yourselfAdvice for aspiring entrepreneursHow to reach Ling:Lin’s website: https://www.lingcoaching.com/Ling’s linkedin: https://www.linkedin.com/in/ling-shi/Ling’s Youtube:https://www.youtube.com/@LingWellnessBook recommendation: Million Dollar Weekend by Noah Kagan, https://www.amazon.de/-/en/Noah-Kagan/dp/059353977X ...
2024-06-1935 minTechSperience Solutions
TechSperience SolutionsEpisode 121: Leveraging Advanced Technologies to Modernize ManufacturingWe’re at an inflection point in U.S. manufacturing. Those that are not investing in advanced technologies today will quickly find themselves uncompetitive. Those that are beginning to modernize their facilities, however, are achieving smarter and more digitally excellent design and production. In this podcast, we'll explore how manufacturers can leverage advanced technologies to modernize their spaces and ultimately yield big business benefits. Host: James Hilliard Guests: Blake Kerrigan, Senior Director for ThinkEdge Business Group at Lenovo Zihan Wang, Global Business Development Manager at NVIDIA Ryan Spurr, Manufacturing St...
2023-10-1739 minSystemCall
SystemCallSC(2): Himmelsbrßcken durch Tunnel und Replikate bei VielkernernWir beschäftigen uns im SystemCall Podcast mit aktueller Betriebssystemforschung. In der zweiten Sendung diskutieren wir mit "SkyBridge: Fast and Secure Inter-Process Communication for Microkernels" eine Idee zur Beschleunigung von Interprozesskommunikation fßr Mikrokernel und sprechen ßber "NrOS: Effective Replication and Sharing in an Operating System", ein Konzept fßr effektives Teilen von Datenstrukturen auf Manycore-Non-Uniform-Memory-Access Maschinen. SkyBridge ist auf der EuroSys'19 erschienen und diskutiert einen Ansatz um Interprozesskommunikation zu beschleunigen. Die Performance eines Microkerns leidet sehr darunter, dass viel Funktionalität in vielen spezialisierten, abgekapselten Prozessen stattfindet und die Kommunikation nur ßber IPC durch den Kern mÜglic...
2021-10-2541 minBeyond the Bottomline
Beyond the BottomlineChina – Women Entrepreneurs Around the World with The Girls on the RoadChina is the next exciting stop for Fernanda and Taci, meeting women entrepreneurs there and discovering the challenges, advantages and environment for starting a business. Join us today hearing from ‘The Girls on the Road’ in their quest to support women entrepreneurs around the world. Fernanda and Taciana are visiting 24 countries interviewing women and researching the conditions, business ecosystems, challenges and advantages that exist in each country. They also have a book and a documentary about their trip and discoveries already out. The Girls on the Road interviewed these dynamic wome...
2020-01-1515 min