Winston Ma, CFA Esq.’s Post

Unlock the Power of Edge & On-Device Machine Learning 🚀 Recent research by SlashData reveals fascinating insights into the growing landscape of Edge Computing and On-Device Machine Learning. Are you curious about how these advancements are shaping the future of tech? Here's a glimpse into what the study explores. Want to contribute to these valuable insights and get a chance to win amazing prizes? Participate in the Developer Nation 27 survey! 📝 https://lnkd.in/gDeACZ2J #edgecomputing #machinelearning #developernation #survey #developer #technology #futureoftech #slashdata

𝟔𝐆 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 𝐓𝐡𝐞𝐨𝐫𝐲: 𝐀 𝐌𝐚𝐢𝐥𝐛𝐨𝐱 𝐏𝐞𝐫𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞 (2021) "...the architecture can be divided into resource cognition engine, service cognition engine, and network orchestration management layer. The resource cognition engine is responsible for perception and forwarding of heterogeneous communication, computing, and storage resources. The service cognition engine is responsible for the decomposition and scheduling of general and intelligence services. Based on the resource cognition engine and service cognition engine, the distributed intelligent control, layout, and scheduling of the network are realized in a network orchestration layer. This aims to meet the demand of users and also make use of the complicated network environment." The areas of focus seem to very much align with my product pitch (slide below) for Signify in 2018, in which I introduced the concept of "Service Cognition" as opposed to "Cognition as a Service". Article link in comments. #networks #intelligence #systems #information #signals

The two key challenges in interacting with LLMs today are speed and accuracy. While, accuracy can be improved with techniques like Retrieval Augmented Generation (RAGs), Fine-tuning and skilled prompt engineering, throughput or rendering speed lies in better hardware and architecture custom-built for LLMs Enter Groq. Founded in 2016 by Jonathan Ross who Co-founded Google’s first Tensor Processing Unit. End-to-end processing systems from hardware to software specializing in GenAI inference speed. Just how fast? With the @Mixtral-8x7b-32768 model, it achieves an impressive 532 T/s. This opens a world of possibilities, especially in real-time, conversational AI applications. #LLMs

Hello connection! Excited to announce that I've completed the ML101: Machine Learning at the Edge course from Arm! 🎓 Learned valuable insights into deploying ML models on resource-constrained devices. 💻 Ready to leverage edge computing for innovative solutions! #MachineLearning #EdgeComputing #ArmEducation 🚀🔍💡

Local Language Model Inference: PyTorch Unveils torchchat. In a groundbreaking development for artificial intelligence enthusiasts and developers alike, PyTorch has introduced torchchat, a game-changing tool designed to accelerate local Large Language Model (LLM) inference across a variety of devices. This innovative solution promises to bring the power of advanced language models to laptops, desktops, and even mobile devices, opening up new possibilities for AI applications in everyday computing environments. Please for more details read th following article : https://lnkd.in/eCTSpaqC

💡 Unlock the power of problem-solving with a deeper understanding of algorithms.🔍 Explore how these computational building blocks drive innovation and efficiency in every aspect of technology. 💻 #UnderstandingAlgorithms #TechInnovation #ProblemSolving #AlgorithmMagic #EfficiencyBoost #InnovationInTech #TechSolutions #EfficiencyInTech #InnovateWithAlgorithms #TechRevolution

🔍 Demystifying Computer Vision: Your Gateway to AI-Powered Image Understanding! Ever wondered how machines "see" and interpret images? 🤖👁️ Computer Vision is the game-changing technology behind: • Facial recognition in your smartphone 📱 • Self-driving cars navigating streets 🚗 • Medical imaging for precise diagnoses 🏥 • Quality control in manufacturing 🏭 Why should you care? It's revolutionizing industries Opens up exciting career opportunities Enhances user experiences in daily life Ready to dive deeper? Let's connect! Share your thoughts or questions about Computer Vision in the comments below. 💬 #ComputerVision #ArtificialIntelligence #TechInnovation #MachineLearning #FutureOfTech https://lnkd.in/eHTp4xSS

Local Language Model Inference: PyTorch Unveils torchchat. In a groundbreaking development for artificial intelligence enthusiasts and developers alike, PyTorch has introduced torchchat, a game-changing tool designed to accelerate local Large Language Model (LLM) inference across a variety of devices. This innovative solution promises to bring the power of advanced language models to laptops, desktops, and even mobile devices, opening up new possibilities for AI applications in everyday computing environments. Please for more details read th following article : https://lnkd.in/eCTSpaqC

BeagleBoard is not new, but the organization’s latest offering, the BeagleY-AI board, is new. And it lets developers go to a completely new level, adding artificial intelligence, without breaking the bank. Watch the video with Richard Nass of Embedded Computing Design and Jason Kridner of BeagleBoard.org Foundation from embedded world Exhibition&Conference https://lnkd.in/efvDpV6H #ew24 #opensource #ai

Open-Sora 1.2 is out! I didn't have time to test it but the goal is to democratise "Efficient video Production". Open-source (yes!) , released by HPC-AI Technology Here the model: https://lnkd.in/dWmGaKtw and here is the space to try it out: https://lnkd.in/dudVseVN