Han WU

Hello LinkedIn connections, In light of the COMPUTEX TAIPEI excitement, I've written a two-part analysis on NVIDIA. This first part covers the company's founding background, business model, and key clients. 🙌 If you want to learn more, click the link below to read the full article: https://lnkd.in/g2FwefYa Here are 3 quick key takeaways: 1. NVIDIA's GPU Technology: NVIDIA is a market leader with its cutting-edge #GPU technology, especially in the #AI and gaming sectors. The GeForce series GPUs enhance gaming graphics quality, while Tensor cores dramatically accelerate the training and learning of AI models. The #CUDA platform also expands the range of GPU applications. 2. #AI Boom: With the surge in #generativeAI, NVIDIA's GPUs have become crucial for training AI models. Major tech companies like 微軟公司, 谷歌, and Amazon are all competing to use NVIDIA's GPUs to boost their AI capabilities. Additionally, thousands of AI startups rely on NVIDIA chips for fast and efficient training, which has significantly increased NVIDIA's market value. 3. NVIDIA's Business Model: NVIDIA has transitioned from just a GPU supplier to a comprehensive system provider. They offer complete AI solutions, including #Spectrum-X data center technology for training, the #Hopper training platform, and the #Blackwell operational platform, selling these as Total Solutions to businesses. NVIDIA has built a powerful platform ecosystem that attracts numerous developers and corporate clients. Their strategic use of leverage and scale is key to maintaining their competitive advantage. For more interesting stories about tech industry, subscribe to Roxanne’s Tech Talk👩🏻‍💻 I share in simple, understandable language, making technology accessible to everyone! Subscribe 👉 https://lnkd.in/gpzggdvb

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📖 Exploring Non-Stationary User Behavior in Recommendation Systems Continuing my dive into ByteDance's "Monolith: Real-Time Recommendation System with Collisionless Embedding Table", I’ve come across a crucial challenge: non-stationary distribution—also known as Concept Drift. Unlike visual or linguistic data, which changes over centuries, a user's interests can shift in just minutes. This dynamic behavior makes it difficult for recommendation systems to keep up. 🧠 Why It Matters: Traditional systems struggle because they don’t update fast enough to reflect these real-time changes in user behavior. Monolith addresses this by: Collisionless Embedding: A smarter design that avoids data collisions using a dynamic hash table, improving the use of sparse features. Real-Time Feedback: The system loops user interactions back into training immediately, allowing the model to continuously update and adapt. 🚀 Results: Monolith not only reduces memory usage but also boosts performance (state-of-the-art AUC) without overwhelming server resources. This real-time adaptability is key for delivering more personalized, accurate recommendations! From next post, we will start discussing the design of this system. Keep learning, Keep growing ! Image source : https://lnkd.in/g42JiYKY #AI #RecommendationSystems #ConceptDrift #MachineLearning #DataScience #RealTimeAI #TechInnovation #Monolith #ByteDance #Scalability #LearningJourney

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In this episode, we discuss Learning Task Decomposition to Assist Humans in Competitive Programming by Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang. The paper presents a method to enhance human understanding and repair of language model (LM)-generated solutions by automatically breaking down complex solutions into simpler subtasks. They introduce a novel objective called assistive value (AssistV) to measure how easily humans can repair these subtasks and validate their method through a dataset of human repair experiences. The approach significantly improves the problem-solving ability and speed of non-experts in competitive programming, allowing them to solve more problems and match the performance of unassisted experts.

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Meet 2024 Epistimi-US-Japan Foundation leadership participant Wakana Fujii! I work as a software engineer specializing in robotics at Sony Semiconductor Solutions, focusing on planning like route and task planning. I earned my master's degree from Waseda University, Department of Intermedia Art and Science, where I researched robots that assist with dressing for people with disabilities, combining robotics and AI. This work won the best paper award at the SII 2022, international conference. My passion lies in enhancing people's lives through robotics technology. #womeninstem #womeninscience #womeninleadership 

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In this episode, we discuss Language Model Can Listen While Speaking by Ziyang Ma, Yakun Song, Chenpeng Du, Jian Cong, Zhuo Chen, Yuping Wang, Yuxuan Wang, Xie Chen. The paper explores enhancing real-time interaction in speech-based conversational AI by introducing listening-while-speaking language models (LSLM) for full duplex communication. LSLM integrates simultaneous listening and speaking capabilities using a token-based decoder-only TTS and a streaming SSL encoder. Experimental results show LSLM's robustness and sensitivity to diverse instructions, advocating its potential to improve interactive speech dialogue systems in real-world applications.

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“At Akeso, we have diverse clinical teams that foster a culture of mutual learning. This collaborative atmosphere enables us to solve problems quickly and efficiently. When challenges arise, we can promptly adjust our strategies to ensure smooth research and development progress. Our management team is essential in identifying global trends, combining strategic vision with hands-on support for frontline staff to address issues swiftly. In today’s market, this approach is crucial for any innovative pharmaceutical company looking to enhance efficiency and maintain competitiveness.” Insights from the Forbes China interview with Michelle Xia, Founder, Chairwoman, President and CEO of Akeso. https://lnkd.in/g-UCqKM2

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Introducing SJI Talent Finder 🤖 - My AI Interview Assistant 🎙️ At SJ Innovation LLC, we believe in leveraging the power of AI to streamline the hiring process. That's why I've developed SJI Talent Finder - an intelligent AI assistant designed to conduct interviews for frontend developers, backend developers, and SQA engineers. This cutting-edge assistant can greet candidates, ask targeted questions based on their technical expertise, and even provide real-time feedback on their responses. 🙌 With SJI Talent Finder, I can save valuable time and resources, while ensuring a consistent and professional interview experience for my candidates. 👨‍💻👩‍💻 Some key features of SJI Talent Finder: * Seamless voice-based interactions with an AI face avatar 🎥 * Comprehensive question banks for technical roles, tailored to different seniority levels 📚 * Objective scoring system to evaluate candidate responses, ranging from 0 to 5 stars ⭐ * Polite, encouraging, and professional demeanor throughout the interview 😊 * Strict adherence to the interview structure - any irrelevant responses from the candidate may lead to disqualification 🚫 * Advanced AI-powered detection to identify if candidate responses are fully generated by AI - any such responses will receive a score of 0 ⚠️ Revolutionize your hiring process with SJI Talent Finder - the AI-powered interview assistant that puts your technical talent search on autopilot. 🚀 I will publish it on the innovation day of SJ Innovation LLC in the next month 🏆 #AIInterview #HiringAutomation #TechRecruitment #SoftwareEngineering #QualityAssurance #SJ_Innovation #Innovation_Day

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Over the past few years, Coupang has extensively integrated ML (Machine Learning) and AI (Artificial Intelligence) to enhance customer experiences in various areas, including search, advertisements, product catalogs, and personalized recommendations. Explore how Coupang is building the future of commerce with cutting-edge technology. This journey highlights the ML models trained with Coupang’s ML infrastructure, innovative approaches and advancements that are redefining the commerce landscape. ✅ Read more: https://lnkd.in/gkDj-Wnp ✅ Explore career opportunities at Coupang: https://lnkd.in/gEj5dpyP #Coupang #CoupangCareers #쿠팡 #쿠팡채용 #CoupangTech #쿠팡테크 #AI #인공지능

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🔓 Unlock the power of your data with NVIDIA NeMo Curator. Discover how to #customize and optimize your model by integrating high-quality, domain-specific datasets. https://nvda.ws/3WO1QYZ

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🔓 Unlock the power of your data with NVIDIA NeMo Curator. Discover how to #customize and optimize your model by integrating high-quality, domain-specific datasets. https://nvda.ws/3WO1QYZ

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[A flexible teaching tool that is more considerate than the teaching assistant🧑‍🏫 Right here at 2024 COMPUTEX] Students are distracted in class and playing on their phones🤳 How can smart technology help students gain an immersive learning experience? This year BenQ COMPUTEX will showcase the Interactive Displays for Education on-site. 🖥️ Teachers can operate various convenient shared devices without wire restrictions, open software or adjust the monitor window according to the lesson. 🗣️Let students take turns sharing and encourage active participation in brainstorming. 🚫 It can also turn on Do Not Disturb mode, blocking incoming screen-sharing requests to ensure students can focus on what’s in front of them. There are more diverse functions that cannot be felt while sitting in front of a computer or looking at a mobile phone screen‼ Come to the expo site and experience the vivid teaching lessons with us🙆 #FindBenQatCOMPUTEX Come to the expo and stand up for sustainability♾️COMPUTEX exhibition date: 6/4(Tue.)-6/7(Fri.), TaiNEX 1: L0118(4F) #COMPUTEX #SMART+ #AINOW #BenQ #Qisda #ESG #SustainabilityDevelopmentStrategy #BenQGroup

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Tech resume guide for those who were impacted by layoffs. Hope you'll find this useful!

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