AWS AI’s Post

Amazon Web Services (AWS) Just Walk Out technology just got even more accurate. The new Amazon AI system is able to achieve higher levels of accuracy by analyzing all sensor data simultaneously, rather than sequentially. It looks at multiple inputs—cameras, weight sensors, and other data—and prioritizes what’s most important to accurately determine the variety and quantity of items selected. It also uses continuous self-learning and transformer technology. This increases the accuracy even in complex shopping scenarios (imagine - a lunch rush of students during class break, all with only five minutes to spare). Just Walk Out technology is currently available in over 170 third-party locations at airports, stadiums, universities, hospitals, and we will launch more Just Walk Out stores in 2024 than any year prior #thefutureisfrictionless

Llama 3.2: A Game-Changer for Edge AI and Vision with Open, Customizable Models Use Here 👇 https://lnkd.in/dn8RfBfJ 🚀 Llama 3.2 is here, revolutionizing edge AI and computer vision! 🦙 Packed with small and medium-sized vision LLMs (11B & 90B) and lightweight, text-only models (1B & 3B), it’s optimized for mobile and edge devices. Imagine fast, on-device stigmatization, instruction following, and image understanding – all running seamlessly without the cloud! 🌐✨ From Qualcomm to MediaTek, Llama 3.2 is a partner-supported powerhouse, open for customization and fine-tuning via torchtune and torchchat. The future of edge AI is here, and it’s more accessible, efficient, and powerful than ever. 🔓 Openness drives innovation. Whether you’re working in the cloud, on-prem, or at the edge, Llama Stack simplifies deployment, making AI development a breeze across platforms like AWS, Databricks, Dell, and more. Plus, with new tools like Llama Guard 3 for enhanced safety, the future of responsible AI is bright! 🌍🔐 Don't miss the opportunity to explore Llama 3.2, available now for download. Start building your AI solutions with our smart assistant, Meta AI. Let’s innovate together! 💡 #AI #Llama3 #moazzamsuleman #EdgeAI #VisionLLM #Innovation #OpenSource #MetaAI #MachineLearning #Qualcomm #NVIDIA #AWS #MobileAI #DataScience #ArtificialIntelligence #Technology #HuggingFace

The improved AI model can now handle complex scenarios, such as multiple shoppers interacting with products simultaneously or obstructed camera views, by processing data from various sources including weight sensors. This enhancement minimizes receipt delays and simplifies deployment for retailers. The system’s self-learning capabilities reduce the need for manual retraining in unfamiliar situations. Trained on 3D store maps and product catalogs, the AI can adapt to store layout changes and accurately identify items even when misplaced. This advancement marks a significant step forward in making frictionless shopping experiences more reliable and widely accessible. https://lnkd.in/eQMZZinm

Many of today's workloads have different demands than those of a few years ago. With powerful AI performance, extended battery life, and faster response times, our testing revealed the Lenovo ThinkPad T14s Gen 5 is a strong choice for an upgrade: https://facts.pt/NI5FMjs #AI

三星擬提供 AI 晶片「一站式服務」，公司：包辦晶片代工和設計就是我們的優勢 🌟 Exciting News in the World of AI Chips! 🌟 Samsung is revolutionizing the AI chip industry by offering a one-stop-shop service, integrating memory chips, manufacturing, and packaging to significantly expedite production. This bold move is set to streamline the process by 20%! Plus, with plans to produce groundbreaking GAA architecture chips, the future of AI is looking brighter than ever. Get the full scoop here: https://ift.tt/7OGAaod Don't miss out on this game-changing update! 💡 Let's shape the future of technology together. #AI #Samsung #TechTrends

Play with all the top models in seconds, then deploy into production using the NVIDIA Inference Microservice (NIM). Just announced at #GTC24 💡 New AI microservices for developing and deploying enterprise-grade #generativeAI 💻. Explore them now at ai.nvidia.com and get access to PTMs, data processing, #LLM customization, #inference, #RAG, and guardrails.

Quantiphi is developing cutting-edge services to integrate NeMo Retriever NIM microservices into enterprise AI pipelines! By leveraging this powerful technology, we’re helping businesses unlock the full potential of their data and drive innovation. #AI #NeMoRetriever #NIM #Microservices #EnterpriseAI #DataDriven #Quantiphi #NVIDIA #QuantiphixNVIDIA #SolvingWhatMatters Stay tuned for more AI innovations!

Check out my personal followz page for new content on #GPUaaS & Private #AI. Video 1) #Equinix Private AI with NVIDIA DGX In this video, we explore the concept of Private AI and how it opens up infinite possibilities for businesses looking to innovate while maintaining control over their data. Video 2) Our partner, Gcore, talk about how they are able to serve various industries, with fast, reliable and secure #infrastructure, with latency below 30ms globally. Check out here (scroll down to GPUaas & AI section) >> https://lnkd.in/ehp6KpiE

AI, Go Fetch! 🐶 https://nvda.ws/4daZRTq The new NVIDIA NeMo Retriever NIM #inference microservices can help enterprises unlock the value of business data by boosting model accuracy and throughput.