AI at Meta’s Post

We're at NeurIPS in Vancouver this week showcasing some our latest research across GenAI, FAIR, Reality Labs and more. This year researchers from across Meta had 47+ publications accepted and are taking part in 7+ different talks/workshops/panels. We'll also be showcasing a number of demos on some of our newest work. 📍Attending NeurIPS? Visit us at Booth 433 near the center of the expo floor. 📱 Following from your feed? We'll be sharing more from AI at Meta so make sure to follow along. A few workshop highlights coming up this week: • Building Agentic Apps with Llama 3.2 and Llama Stack Workshops: • Streamlining Computer Vision Data Annotation with SAM 2.1 • AI-Driven Speech, Music and Sound Generation • Video-Language Models • Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning • Socially Responsible Language Modeling Research • Responsibly Building Next Generation of Multimodal Foundation Models • Safe Generative AI • Workshop on Touch Processing See you at #NeurIPS2024!

In episode 102, I had an enlightening discussion with Dr. Rolando Masís-Obando about the future of AI/tech, teaching, and speaking. AI is going to impact our careers in a big way, so I hope you will check out this episode.

🚀 I'm excited to announce that I had the incredible opportunity to participate in last year's HackBattle Hackathon organized by the IEEE CS Club! 🎉 During the event, I collaborated on a cutting-edge multi-modal machine learning project 🤖 that focused on developing an intelligent medical chatbot 🩺. Our solution was designed to detect various skin diseases 🦠 as well as other medical conditions, providing users with accurate diagnoses and personalized recommendations. The project combined natural language processing and image analysis, showcasing the potential of AI in healthcare 🏥. This hands-on experience not only challenged me but also allowed me to apply my skills to a meaningful cause. It was an amazing journey of innovation, collaboration, and learning! 💡✨ #Hackathon #AI #HealthcareTech #MachineLearning #Innovation #IEEE #SkinDiseaseDetection #MedicalAI

"While most current late-fusion models use diffusion-based learning, Meta Chameleon uses tokenization for text and images. This enables a more unified approach and makes the model easier to design, maintain, and scale." Meta just released Meta Chameleon 7B and 34B under a research only license. Looks very interesting, wonder how inference performs on commodity infrastructures. Can't wait to bring it to our genAI solution AIMan. More of the stuff they released can be found here: https://lnkd.in/d-HmwwbF

🚀 Revolutionizing Research: Meet "The AI Scientist"! Sakana AI has just launched a groundbreaking system that promises to change the landscape of scientific discovery as we know it. This innovative framework leverages large language models to autonomously conduct the entire research lifecycle—from generating ideas and writing code to executing experiments and drafting scientific papers. What does this mean for the future of research? The implications are vast, with initial demonstrations showing costs as low as $15 per generated paper! This could truly revolutionize research practices and enhance scientific exploration across various fields. Curious to learn more? #AI #ScientificDiscovery #Innovation #Research

🌟 Just had the privilege of attending the TechBites webinar hosted by Valeo Company, and I'm absolutely floored by the insights gained! 🚀 Under the expert guidance of Ibrahim Sobh - PhD , we delved deep into the realm of Generative AI and its diverse applications. 💡 Throughout the session, we explored a wide array of topics, including: 1. Generative AI 2. AI fundamentals 3. Generative Adversarial Networks (GANs) 4. Diffusion Models 5. Large Language Models (LLMs) 6. Prompt Engineering 7. LLMs and computer vision Each topic illuminated new possibilities and sparked innovative ideas, thanks to Dr. Sobh's expertise and Valeo's contributions. 🔍 The practical applications discussed, alongside Valeo's insights, have left me feeling empowered and eager to integrate these concepts into my work. The potential for impact is immense! 🙌 A huge thank you to Valeo Company for organizing such a valuable webinar. Grateful for the opportunity to learn and grow in this rapidly evolving field! #GenerativeAI #AIApplications #Valeo #AlwaysLearning

"Discover how Generative AI is rapidly revolutionizing industries by transforming creativity and innovation! Dive into a world where machines create stunning art, write compelling stories, and redefine possibilities. Join us on this exciting journey as we explore the limitless potential of Generative AI and its impact on our future!" For more Informative Videos please check our Channel https://bit.ly/3XO4HzP #GenerativeAI #ArtificialIntelligence #DeepLearning #MachineLearning #AIArt #ContentCreation #GANs #VariationalAutoencoders #AIInnovation #TextGeneration #ImageGeneration #CreativeAI #DataScience #AIApplications #NeuralNetworks #AIEthics #DigitalArt #AIinHealthcare #AIinGaming #AIResearch

Are you prepared to lead the way in a tech-centric world? Acquire the essential skills to thrive in the era of AI! Our AI courses are underway, but there's still time to join! Enroll today and Attend the First 2 sessions for FREE! This exclusive offer is too good to pass up! 💻 🔗 www.supportvectors.io 📞 1-855-LEARN-AI 📧 info@supportvectors.com This October, don’t miss out on our dynamic Lab Based courses: 1️⃣ Graph Neural Networks 2️⃣ Rags to Riches - Advanced Methods of RAG 3️⃣ Mastering LLM and Transformers: Fine-Tuning Techniques 🖥️ Mode: In-person or via Zoom 🔍 Includes: Labs, projects, quizzes, and more 💻 24/7 Lab Access & Daily Help Sessions 🔗 Last chance to register: https://lnkd.in/gWRHHCfn 🎓 Special Discounts: Great deals for participants from Asia/Africa, veterans, and individuals with disabilities. Flexible payment options available. #MachineLearning #DeepLearning #GraphNeuralNetworks #TechEducation #AI #AdvancedAI #TechTraining #SiliconValley #BayAreaTech #supportvectors #tech TechCrunch AIhub Generative AI

Improving Speech Recognition on Augmented Reality Glasses with Hybrid Datasets Using Deep Learning: A Simulation-Based Approach https://lnkd.in/gwp-MnhX Google AI researchers showed how a joint model combining sound separation and ASR could benefit from hybrid datasets, including large amounts of simulated audio and small amounts of real recordings. This approach achieves accurate speech recognition on augmented reality (AR) glasses, particularly in noisy and reverberant environments. This is an important step for enhancing communication experiences, especially for individuals with hearing impairments or those conversing in non-native languages. Traditional methods face difficulties in separating speech from background noise and other speakers, necessitating innovative approaches to improve speech recognition performance on AR glasses. Traditional methods rely on recorded impulse responses (IRs) from actual environments, which are time-consuming and challenging to collect at...

Day 23: Research for my Next Realtime Multimodel With Vision Capabilities. Dear Connections, as you can see that the latency to describe even a single image is on average 4-5 seconds so making a Realtime model that can describe our physical world through the lens of our camera is going to be extremely hard. 👉 Please Suggest me a Realtime Vision model that can not only describe single images but actually be able to describe Live Video feed through a camera/webcam. 👉 Of Course I Will be Integrating this Vision Model with my Realtime Ai Voice Assistant Project and Keeping the License Open Source 👉 An Opensource Model would be great which describes image accurately and no latency, as GPT4o, gemini are either paid or inefficient so not ideal for Experimentation. ☑ Appreciate any Guidance,Suggestions,Collaboration and Contributions to Make this Amazing Project Accessible to Normal Public and help the People With Vision Disabilities. Hope You Will Resonate With the Use case and Potential to Build Amazing Apps. Thank You. email:bikramroy6464@gmail.com #ai #ml #genai #datascience #deeplearning