NeuroPace’s Post

My recent blog post with Iris Fang on how NeuroPace ML workloads is leveraging Google Cloud is now live.

Enhancing iEEG seizure identification and similarity search with Google Cloud NeuroPace is scaling its ML workloads with Google Cloud infrastructure and Vertex AI, performing efficient training and hyperparameter tuning. https://accntu.re/3WKsh1G #cloud #cloudarchitect #cloudadoption #cloudengineer #cloudengineering #cloudarchitecture

⏺️ Azure Open AI in the Healthcare Industry 🧐 👉 ## Healing With Intelligence: Azure OpenAI Orchestrates a Medical Revolution Imagine a healthcare landscape where AI acts as a compassionate assistant, empowering doctors, researchers, and patients alike. This is the promise of Azure OpenAI in the healthcare industry, a suite of powerful language models and AI tools poised to revolutionize medical practice, improve patient outcomes, and democratize access to quality care. Let's explore the symphony of possibilities Azure OpenAI offers: 1. Precision Medicine and Diagnosis: 🎯 Unveiling the hidden signals in medical data. AI models powered by Azure OpenAI can analyze mountains of clinical data, including genome sequences, medical images, and electronic health records. This empowers doctors to make personalized diagnoses, predict disease risk, and tailor treatment plans for each individual patient. 2. Virtual Doctors and Assistants: 🎯 24/7 access to medical guidance and support. Chatbots powered by Azure OpenAI can answer patient questions, provide initial advice, and even triage symptoms with remarkable accuracy. This frees up human doctors for more complex cases and enhances accessibility to care, especially in underserved areas. 3. Drug Discovery and Development: 🎯 Accelerating the path to lifesaving treatments. AI can analyze vast datasets of molecules and chemical compounds, predicting their potential efficacy and side effects. This streamlines drug discovery and development, bringing new medicines to patients faster and at a lower cost. 4. Personalized Treatment Plans and Monitoring: 🎯 Optimizing therapy for individual needs. AI models can analyze a patient's medical history, genetics, and real-time health data to personalize treatment plans and monitor their effectiveness. This paves the way for precision medicine, with targeted therapies for optimal outcomes. 5. Medical Image Analysis and Robotics: 🎯 Seeing beyond the human eye. AI can analyze medical images with superhuman accuracy, detecting tumors, abnormalities, and subtle patterns invisible to the naked eye. This assists doctors in diagnosis, surgical planning, and robot-assisted procedures. These are just a few examples of how Azure OpenAI can transform the healthcare industry. As AI technology advances, even more possibilities emerge, such as: 💡AI-powered mental health chatbots providing personalized support. 💡Predictive models detecting disease outbreaks and pandemics earlier. 💡Personalized vaccine development based on individual immune profiles. 💡AI-powered surgery robots performing complex procedures with unmatched precision. #cloudverse #azure #azureopenai #healthcare #healthcareinnovation Do #subscribe to the below channel and stay tuned for more info :- https://lnkd.in/gAmfAEuY

This next report The SHD Group is doing on the Edge AI market is very timely as many companies start to tackle next generation architectures to run the new LLMs and the applications that will be written for them. This is especially important since many of these applications will be run on devices at the Edge and employ AI functionality with little or no reliance on connecting to the Cloud. What neural networks will they run to furnish this functionality and for what applications? This report is aimed at answering these questions. Please welcome to join us in this effort.

Computer vision, a field within artificial intelligence, has rapidly evolved in recent years, owing to advancements in deep learning, increased computational power, and the availability of vast amounts of data. Azure, Microsoft's cloud computing platform, offers a comprehensive suite of tools and services for building, deploying, and managing computer vision applications. Checkout my article - https://lnkd.in/dwDMZ7-g #computervision #artificialintelligence #microsoftai #microsoftlearn C# Corner

Curious about the best cloud GPU platforms for #deeplearning in 2024? 🤔 Look no further! Our comprehensive ranking dives into the top contenders, comparing hardware availability, pricing, ease of use, and more. Browse through our list of #cloudcomputing platforms to find the right fit for your #AI projects. 🌐💡 Dive in and let us know which is your favorite in the comments below! 👇

Gemma, the new family of lightweight, state-of-the art open models built from the same research and technology used to create Gemini, is now generally available on Google Cloud. Gemma is available directly in #VertexAI Model Garden, Kaggle, and Hugging Face and can be deployed via Vertex AI and #GKE on Google Cloud. #Gemma #Gemini #Google #Cloud #AI #Open

Server less fine-tuning for Phi-3-mini and Phi-3-medium models enables developers to quickly and easily customize the models for cloud and edge scenarios without having to arrange for compute. https://lnkd.in/ds25fpsv

This catalog includes models from providers like #AzureOpenAIService, #Mistral, #Meta, #Cohere, #NVIDIA, and #HuggingFace, organized into three collections: Curated by #AzureAI, #Azure #OpenAI Models, and Open Models from Hugging Face Hub #sdk #cloud #clouddevelopment #cloudarchitecture https://lnkd.in/gvFY5zRG

Keen to discover the latest developments in AI and how they can be harnessed for your business? Share this post, and you might just get insights on how Azure and OpenAI are reshaping AI from our very own experts at Online Computers. Contact us today! https://stuf.in/be92mt #Azure #AI📱💻