Tenzing’s Post

Since Wise-ISP was released, the most common questions have been about the product and its price. Now, I'm revealing the products powered by Wise-ISP. It's called OwlView, and it will be launched next week. With the industry's first and exclusive Wise-ISP tech and significant R&D investment, the OwlView products can’t be “cheap”. As I mentioned, the stunning performance of Wise-ISP is mostly due to the UNV large model. And why is the UNV large model so powerful in image processing? Because Uniview has invested heavily in it. During years of work, our large model R&D team of over 200 experts has focused on enhancing images through large models. We also built our own GPU computing center which can achieve petaflops. We have sent over 100 OwlView products to global partners. Every single one of them is amazed by the outstanding video image. I believe OwlView will be a game changer in the market. Get ready to be surprised! #Innovation #NightVision #WiseISP #OwlView #TechBreakthrough #BigModel

Edge computing is not that far away from just-in-time learning. This week, we explore what traits these processes share and how both can be responsive and effective. Read our latest insight here: https://buff.ly/4cuoKc1 #ThoughtLeadership #LifelongLearning #EdgeComputing #CollaborativeLearning #ProfessionalEducation

Workaholism is sometimes hard to admit...but it is what is: spending my festive season vacation to participate in the 3rd International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2023), I truly appreciate the opportunity to Co-Chair session on the Artificial Intelligence/Mashine Learning. Thank you so much, Dr. Anshul Verma for having me over! #Intelligentcomputing#transformationalanalytics

#HPE Swarm Learning: A privacy-preserving, decentralized machine learning solution. Check out this video, courtesy of Mainmicro Technologies Corporation, to see how HPE Swarm Learning delivers better outcomes by increasing accuracy while reducing biases. 🤖✅

💾 Explore the Hierarchy of Memory and Storage: From ultra-fast registers to long-term storage, each layer plays a crucial role in how we process and retain information. Understanding this hierarchy is key for optimizing performance in computing. #MemoryHierarchy #DataStorage #TechInsights #ComputerScience #InformationTechnology #PerformanceOptimization #TechEducation #Engineering #Innovation #DMZDevHub

"#Computing- A detailed analysis with over 50 trends impacting computing in 2024. Includes #deep #research in focus areas, including #chip #manufacturing and #development, personal computing, biological computing, advanced large #scale computing, #quantumcomputing, and #networking." https://lnkd.in/eMGfuBGb Future Today Institute the 2024 Trend Reports.. track more than 700 technology and science trends that are likely to influence every industry. https://lnkd.in/eUzx3iKG #future #predictions #FutureTodayInstitute #research

The name is Deucalion. It is a High-Performance Computer (HPC) capable of executing more than 10 petaflops or 10 million billion calculations per second! Imagine the possibilities when AI is powered by a computing giant like Deucalion. At this knowledge open day, we'll delve into the revolutionary power of such HPC in developing innovation, scientific research, and the local economy and society, sparking excitement about the potential impact. As a big believer in the synergies from a quadruple helix approach (Academia, Government, Businesses and People) on the building of a local ecosystem to take the immense computing power to thrive sustainably, it is with great pleasure and honour that I will moderate the University's debate on its open-day to all local stakeholders. The incredible panellists, combined with the fantastic University and the local audience, will surely turn this debate into the birth of a tremendous ecosystem. #supercomputer #cognitivecity #openinnovation #quadruplehelix #smartcity

Unlocking Efficiency: How to Boost Your hardware's Performance Without Increasing Costs In a groundbreaking development by University of California, Riverside, Assoc. Prof. Hung-Wei Tsengand grad student Kuan-Chieh Hsu, the world of computing takes a significant leap forward with Simultaneous and Heterogeneous Multithreading (SHMT). This innovative approach not only challenges but also changes the way we utilize the diverse computing resources within our modern systems. 🤔 Okay, but why does SHMT matter? 🧠 Enhanced Resource Utilization: SHMT breaks free from the limitations of traditional computing, orchestrating CPUs, GPUs, and other processors in concert. This symphony of resources drives unparalleled efficiency, particularly vital for machine learning applications that thrive on diverse computational capabilities. ⚡ Speed and Energy Savings: Imagine training complex ML models not just faster but with up to 51.0% less energy. SHMT isn't just about boosting performance; it's about redefining efficiency, offering up to 1.95x speedups over conventional GPU-based methods. 💸 Cost-Effective Innovation: For startups and research institutions, SHMT opens a door to achieving more with less. Leveraging existing hardware to its fullest potential means groundbreaking work doesn't have to break the bank. ♻ Ecological impact: As we navigate the challenges of increasing computational demands, SHMT stands out not only for its performance but also for its contribution to reducing the environmental impact of our digital endeavors. 📈 Scalability for Tomorrow: With SHMT, adaptability is built-in. This framework ensures that as your computational needs grow, your ability to meet them does too, without missing a beat. 🤝 Moving Forward Together: The journey of SHMT is just beginning. Its full potential for enhancing machine learning tasks and beyond hinges on our collective effort to refine programming models, develop efficient tools, and explore its application across various domains. Let's embrace the future of computing with SHMT. The era of truly efficient and scalable machine learning is here, and it's time we leveraged it to its fullest. Join in this exciting journey to unlock unprecedented levels of performance and efficiency. #MachineLearning #Innovation #Computing #Sustainability #aihardware

How does feature engineering impact MLOps? 🔍💻 While feature engineering is crucial in extracting accurate outputs from the model, there are some downsides to consider. One of the main downsides is that it increases the size of the dataset, resulting in a complex and expensive model. The larger the dataset, the more input to the model, and the more maintenance required. In MLOps, feature engineering impacts the cost of infrastructure. The larger the dataset, the larger the model that will need high GPUs for training and storing. Additionally, it also impacts the latency of the inference at production. It's essential to weigh the benefits and downsides of feature engineering in MLOps to ensure efficiency and cost-effectiveness. #MLOps #featureengineering #datascience 🚀🔬

Ever prayed to your god to grant you, “Grace?” How about, “Innovation?” The Legacy of Rear Admiral Grace Hopper & The Future of Computing Rear Admiral Grace Hopper: A trailblazer who revolutionized the tech world. As a visionary computer scientist and U.S. Navy officer, she spearheaded the development of early programming languages and was pivotal in creating COBOL—one of the very first high-level programming languages. Hopper's knack for making complex concepts accessible transformed how we think about data speed today, famously using a simple piece of wire to visually explain the journey of electricity—and information—in a nanosecond. Grace-Hopper and Grace-Grace nodes: Today, her legacy continues with the next generation of computing. These powerhouses are designed with Grace CPUs and Hopper GPUs to tackle the most demanding tasks in high-performance computing (HPC) and artificial intelligence (AI). Why the Grace-Hopper and Grace-Grace Nodes Stand Ou 🔍t: Enhanced Performance: Grace CPUs bring unmatched FP64 performance, essential for scientific computing and complex simulations. Hopper GPUs, optimized for AI, deliver unparalleled processing power for deep learning. Memory and Bandwidth: With extensive high-speed memory and impressive bandwidth, these nodes excel in managing large datasets and performing real-time analytics. Scalability: Tailored configurations meet diverse application needs, from AI training to detailed HPC tasks. 🌐 Impacting Industries: Finance: Transforming risk analysis, fraud detection, and real-time trading. Scientific Research: Powering simulations in physics and chemistry. Healthcare: Advancing genomics and protein folding studies. Automotive & Manufacturing: Innovating AI for autonomous vehicles and new material processes. As we stand on the shoulders of giants like Grace Hopper, We got this! 🔗 Stay connected for more insights on how technology shapes our world. #TechTrends #GraceHopper #Innovation #HighPerformanceComputing #ArtificialIntelligence @Petabitscale #DataCenterInnovations #NetworkEngineering #ITInfrastructure #CloudComputingProfessionals #TelecommunicationsIndustry #DataCenterManagement #NetworkOptimization #TechIndustryLeaders #InformationTechnology #DataStorageSolutions #DataCenterInnovations #NetworkEngineering #ITInfrastructure #CloudComputingProfessionals #TelecommunicationsIndustry #DataCenterManagement #NetworkOptimization #TechIndustryLeaders #InformationTechnology #DataStorageSolutions