Chelsea Larson-Andrews’ Post

Unlocking Visual Insights: Image Classification with TensorFlow In today's era, visual data reigns supreme, driving innovations across sectors. TensorFlow, Google's open-source ML framework, empowers developers to harness this potential through image classification. With TensorFlow's robust ecosystem, from per-trained models like Inception to intuitive APIs, building classifiers becomes efficient and accessible. Whether identifying objects or anomalies, TensorFlow offers tools for diverse challenges. Integration with TensorFlow Serving and TensorFlow Lite ensures deployment flexibility, from cloud to edge devices. Additionally, TensorFlow's distributed training supports scaling to massive datasets, unlocking new possibilities. Whether you're a seasoned engineer or new to ML, TensorFlow democratizes visual intelligence, promising to revolutionize industries. Join the revolution and shape the future of AI-driven image classification. Let's unleash the power of visual data together! #TensorFlow #ImageClassification #AI #ML #ComputerVision"

I recently came across a groundbreaking paper by the AI4Science team at Microsoft Research, published in Nature, introducing 𝗠𝗮𝘁𝘁𝗲𝗿𝗚𝗲𝗻. This model represents a leap in leveraging AI for material design and discovery. The potential to predict, design, and optimize complex materials at this level of precision is transformative. MatterGen builds on its predecessor, CDVAE, achieving remarkable progress: • 𝟮.𝟵𝘅 𝗺𝗼𝗿𝗲 𝘀𝘁𝗮𝗯𝗹𝗲 and novel structures generated. • Structures are 𝟭𝟳.𝟱𝘅 𝗰𝗹𝗼𝘀𝗲𝗿 𝘁𝗼 𝗲𝗻𝗲𝗿𝗴𝘆 𝗹𝗼𝗰𝗮𝗹 𝗺𝗶𝗻𝗶𝗺𝗮, ensuring better thermodynamic stability. • Predictions now align with experimental results within a 𝟮𝟬% 𝗺𝗮𝗿𝗴𝗶𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗮𝗰𝘁𝘂𝗮𝗹 𝗺𝗲𝗮𝘀𝘂𝗿𝗲𝗱 𝘃𝗮𝗹𝘂𝗲𝘀. These advancements highlight how rapidly AI models in material science are evolving. If this much progress is possible in just one year, 𝗶𝘁’𝘀 𝗲𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝘁𝗼 𝗶𝗺𝗮𝗴𝗶𝗻𝗲 𝘄𝗵𝗮𝘁 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗵𝗼𝗹𝗱𝘀. Admittedly, the 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 of generative AI models like MatterGen is still in its early stages. Experimental verification will always remain the ultimate test of success. However, 𝘁𝗵𝗲 𝗽𝗼𝘀𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗮𝗿𝗲 𝘁𝗼𝗼 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝘃𝗲 𝘁𝗼 𝗶𝗴𝗻𝗼𝗿𝗲: • Accelerating sustainable material development. • Reducing time-intensive and costly experimental trials. • Enabling interdisciplinary collaboration between AI experts and materials scientists. This makes me wonder: 𝗖𝗼𝘂𝗹𝗱 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 𝗹𝗶𝗸𝗲 𝗠𝗮𝘁𝘁𝗲𝗿𝗚𝗲𝗻 𝗿𝗲𝗱𝗲𝗳𝗶𝗻𝗲 𝗵𝗼𝘄 𝘄𝗲 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗹𝗼𝗻𝗴-𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝗶𝗻 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹 𝘀𝗰𝗶𝗲𝗻𝗰𝗲? Despite any limitations, the idea of combining computational power with scientific intuition offers a bright horizon for the future. If you're curious to know more: 𝗣𝗮𝗽𝗲𝗿: https://lnkd.in/dqbgBGqe 𝗦𝘁𝗼𝗿𝘆: https://lnkd.in/dv4NgUE9

📢 Hypothesis Generation for Scientific Research While critical thinking is crucial in any research, AI-powered #hypothesis generation can be a game-changer! 🚀 Think of AI-driven hypothesis tools as your tireless research assistant 🤖—analyzing patterns, extracting insights, and eliminating biases that could cloud your reasoning. Leveraging LLMs and vast scientific datasets, these tools generate well-structured hypotheses, making them invaluable for complex research. 👉 Try using multiple AI tools to explore different perspectives and assess their relevance and practicability for your study. #AIforResearch #ScientificResearch #GenerativeAI #AIinScience #ResearchAutomation #AIInnovation #TransAccelors #PowerUp #LearnWithTransAccelors

🤖 Unlock the Power of AI in Life Sciences! 🌱 Missed the latest PTP Lunch & Learn? Here are the key takeaways from our session on leveraging AI in life sciences with Micah from PTP: 🔑 4 Building Blocks for AI Success: Intent: Define your goals before diving into AI. Data: Clean, well-structured data is the foundation. Compute: Optimize resources to boost efficiency. Human Expertise: Guide, train, and validate models effectively. 🚀 Learn how AWS tools like SageMaker and Bedrock can transform your AI strategy! #AI #LifeSciences #CloudComputing #AWS #DataManagement #PTP

What is ONNX? Simplifying Machine Learning for Everyone Hey everyone! 👋 If you’ve worked with machine learning models, you know the pain of training in one framework and deploying in another. That’s where ONNX (Open Neural Network Exchange) comes in! 🚀 Why Should You Know About ONNX? ‣ ONNX is like the universal format for machine learning models. It lets you: Train in one framework (like PyTorch) and deploy on another (like TensorFlow or ONNX Runtime). ‣ Optimize performance to make your models faster. ‣Deploy anywhere, from cloud servers to edge devices or even mobile. It’s perfect for beginners looking to experiment with frameworks and for experienced engineers scaling deployments. What’s in My Blog? In my latest blog, I dive into: ‣ A hands-on use case using ONNX for stock price prediction. ‣ How ONNX simplifies workflows and enables platform-independent model deployment. Whether you’re new to machine learning or a seasoned pro, ONNX is a game changer for model portability and optimization. 👉 Check out the full blog here: https://lnkd.in/gy_X4fQ6 I’d love to hear your thoughts—let’s discuss how ONNX can transform your ML workflows! 💬 #ONNX #MachineLearning #AI #DataScience #GenAI #DeepLearning

Microsoft Research Forum, June 4, 2024 - Lightning talks & essays...video replay ... 1 -"MatterGen: A Generative Model for Materials Design", Presented by Tian Xie https://lnkd.in/eSUaHtE7 "Tian Xie introduces MatterGen, a generative model that creates new inorganic materials based on a broad range of property conditions required by the application, aiming to shift the traditional paradigm of materials design with generative AI." 2 -"AutoGen Update: Complex Tasks and Agents", Presented by Adam Fourney https://lnkd.in/e_K4cg_D "Adam Fourney discusses the effectiveness of using multiple agents, working together, to complete complex multi-step tasks. He will showcase their capability to outperform previous single-agent solutions on benchmarks like GAIA, utilizing customizable arrangements of agents that collaborate, reason, and utilize tools to achieve complex outcomes." 3 -"Insights into the Challenges and Opportunities of Large Multi-Modal Models for Blind and Low Vision Users: A Case Study on CLIP" , Presented by Daniela Massiceti https://lnkd.in/eZ3va_Tr "Daniela Massiceti delves into the transformative potential of multimodal models such as CLIP for assistive technologies. Specifically focusing on the blind/low-vision community, the talk explores the current distance from realizing this potential and the advancements needed to bridge this gap." 4 -"Driving Industry Evolution: Exploring the Impact of Generative AI on Sector Transformation", Presented by Jiang Bian https://lnkd.in/efncSSWT "Jiang Bian discusses how generative AI transforms industries by bridging gaps between AI capabilities and sector needs. He will showcase domain-specific foundation models and versatile AI agents, setting new industry standards." Watch, read & learn more ... #Microsoft #Research Forum...  "exchange of #ideas about #science and #technology research in the era of general #AI. This series will explore recent research advances, bold new ideas, and important discussions with the global research community." https://lnkd.in/e9SkN9th

I am excited to share my certificate of attendance for the 'Unleashing Innovation: The Generative AI Revolution' webinar! This insightful session explored the transformative power of generative AI, covering topics like AI-driven business growth, customer experience innovation, and fostering creativity. I'm eager to apply these valuable insights and stay ahead of the curve in the rapidly evolving AI landscape. Thank you Marine Engineering And Research Institute and Amazon Web Services (AWS),Aspire For Her for giving me this opportunity. #GenerativeAI #Innovation #AIWebinar

Exciting News! 🤖✨ We're thrilled to announce our keynote speaker for the EPP IGNITE - AI the Future of Pricing (London, September 11 - 12): Beny Rubinstein, Eng., M.B.A., Ph.D. candidate 🎗, CCO of Evolution Intelligence and former founding team member of Microsoft Azure. Join us as Beny explores AI’s Innovation Paradox: - Why innovative AI start-ups are stuck with old pricing models - Linking price to success (and risk) - Case Study: Transforming AI R&D economics with performance-based pricing Don't miss this chance to gain ground-breaking insights! Check out the latest program here ➡️ https://lnkd.in/d9YSCPZT #EPP #pricing #AI #PricingStrategy #Ignite #FutureOfPricing #Innovation #RegisterNow #EPPIGNITEAI #AIEvent #ArtificialIntelligence #Microsoft #TechTalk #DataScience #Innovation #LondonEvent

Microsoft has just released Florence-2, a new, easy-to-use vision-language model. Unlike other models, Florence-2 can understand simple text instructions to perform various tasks like captioning, object detection, and image segmentation.  It is an excellent, open-source tool ideal for projects that require identifying objects in images, finding specific items, cataloging products, or segmenting different parts Previous large models were good at learning from one task to another but often required complex commands. Florence-2 simplifies this, making it easier to handle different tasks with straightforward instructions. One of Florence-2's key strengths is its ability to perform well right from the start without prior training (zero-shot capability) and improve with minimal adjustments (fine-tuning). It achieves results comparable to much larger models, like Kosmos-2, thanks to its training on the vast FLD-5B dataset. This dataset includes 126 million images and 5.4 billion detailed visual annotations. Microsoft has made Florence-2 available for everyone under the open MIT license. #Florence2 #Microsoft #VisionLanguageModel #OpenSource #AI #MachineLearning #TechInnovation

🚀 Excited to be virtually attending Microsoft Build 2024! The keynotes have been nothing short of inspiring, and I’m happy to see more topics on AI this year. 🤖 From groundbreaking advancements in Azure AI to innovative applications of machine learning and LLP, the future of technology is AI-driven. Let's see and explore how these innovations can be leveraged to solve our daily business issues. 🌐 Looking forward to connecting with fellow tech enthusiasts and thought leaders! 💡 #MSBuild #MicrosoftBuild2024 #AI #MachineLearning #TechInnovation