Ivan 🥁 Nardini’s Post

It's time for AI4LAM summer break! ☀️ 🏖️ What are we recommending from the area of AI and data science? The popularization of generative AI since November 2022 has us sticking to material from after that time. While we are breaking for July and August, check out some of the picks from the AI4LAM community! https://lnkd.in/dWu7aPUP

🎉 Excited to Share Our Achievement at the AAICO February 2024 Hackathon! 🎉 I am grateful to have worked with this amazing team - Alora Tabuco and Bhavika Kaliya. A huge thank you to The Applied AI Company (AAICO), Théo Fagnoni, Phillip Kingston, Decoding Data Science, Mohammad Arshad for hosting this event and providing a platform for AI enthusiasts like us to showcase our skills and contribute to the advancement of applied AI. Here’s to many more successes and breakthroughs in the future! #AAICOhackathon2024 #AIInnovation #PythonDevelopment #RealTimeAudioProcessing #machinelearning 🚀

Hey everyone, I'm happy to share that Bhavika Kaliya, Mohammed Sadiq Bagalkot and I achieved 3rd place in the The Applied AI Company (AAICO) February 2024 Hackathon! :D 🔍 The Challenge: Our task was to develop a cutting-edge machine learning classifier for audio commands, ensuring accurate labeling for each incoming audio frame in sequence. 🎤🔢 🎯 Our Approach: We proposed a dynamic solution harnessing Mel-Spectrograms as input for a Convolutional Neural Network (CNN). 🌟 By leveraging this powerful combination, we could effectively capture and analyze intricate audio patterns, paving the way for precise command recognition in real time. 🎯💡 🔊 Why Mel-Spectrograms? Mel-Spectrograms offer a robust representation of audio signals, enabling us to extract essential features crucial for accurate classification. 📈🎶 Their ability to capture frequency content over time played a pivotal role in enhancing the performance and robustness of our classifier. 🌐🔊 🚀 Result: Our solution not only met but exceeded expectations, showcasing remarkable accuracy and efficiency in classifying diverse audio commands in real time. 🏆🚀 Thank you for the amazing event Mohammad Arshad, Théo Fagnoni and Phillip Kingston, Decoding Data Science. The community on discord was super insightful and the Q&A sessions were really helpful. And thank you to my amazing teammates who are so inspiring to work with. Looking forward to the event tomorrow! #machinelearning #ai #artificialintelligence

#AIsummit 🧠 on Tuesday, February 13th, 2024! Artificial intelligence and machine learning have the potential to transform various industries. 𝐑𝐨𝐭𝐡𝐛𝐞𝐫𝐠 𝐂𝐚𝐭𝐚𝐥𝐲𝐳𝐞𝐫 𝐀𝐈 𝐒𝐮𝐦𝐦𝐢𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐬 will bring together the University of Miami community and global tech leaders to discuss the responsible applications of AI to address societal challenges, taking a deeper dive into generative AI. RSVP Today! --->>> https://lnkd.in/e63-Mrst #BuildingSoFlo #AIandML

I got a ton of requests for slides in the talk I gave at the Gen AI summit last week on behalf of Orb. I presented three key factors to keep in mind when pricing, especially for AI: 1️⃣ audience 2️⃣ margin structure 3️⃣ flexibility 👇🏽

😴 Sleep deprivation + AI + Extraordinary team = 🥇 We won the Mistral AI x Alan Hackathon. This was one of the best hackathons I have participated in! 🤩 Thanks to Gabriele Cinà, Giovanni P. and Francesco Foresi, having a good team is crucial to not go crazy. 🙌 From the beginning, we approached this hackathon with a clear direction: 📚L E A R N We experimented with new techniques we didn't know, we didn't give up when things didn't work out, and in the end we won, first in the leaderboard.   A small summary of what we did:  - Fine-tuned Mistral on Med Quad and Youtube video transcripts. - Used OpenBio70B to provide more medical context based on the question,  - Used reflection Project link: https://lnkd.in/eaTpE8rs

Check out this talk on GenAI pricing strategies by my co-founder Kshitij Grover!

Are you in #NYC? Join Daniel G. and Jacob Marks for an exciting computer vision hackathon in NYC on October 27: Registration is mandatory 👉 https://lnkd.in/gYDVuaVS What you can expect: 🚀 Tech talks: Deep dive tech talks on Computer Vision and Data-Centric AI. 🔧 Hands-on Workshops: Learn how to build AI applications through code examples 🏅 Engaging Challenges: Tackle real-world problems with AI solutions. 🤝 Networking Opportunities: Connect with fellow developers, builders, and industry experts. 🎁 Exciting Prizes: Demo your projects and compete for cash prizes. #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

Are you in #NYC? Join Daniel G. and Jacob Marks for an exciting computer vision hackathon in NYC on October 27: Registration is mandatory 👉 https://lnkd.in/gYDVuaVS What you can expect: 🚀 Tech talks: Deep dive tech talks on Computer Vision and Data-Centric AI. 🔧 Hands-on Workshops: Learn how to build AI applications through code examples 🏅 Engaging Challenges: Tackle real-world problems with AI solutions. 🤝 Networking Opportunities: Connect with fellow developers, builders, and industry experts. 🎁 Exciting Prizes: Demo your projects and compete for cash prizes. #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience

🚨 Reminder: Kagglephilic Weekly Session #5 🚨 We're thrilled to invite you to the 5th session of our Kagglephilic Community Weekly Series, happening on Monday, September 23rd, at 7:30 PM (CEST)! 📅 This week is extra special as 7 incredible teams will be presenting their progress on various data-driven projects. Here are our teams, who will present their projects: 1️⃣ Kagglers 2️⃣ Health Data 3️⃣ PetroLearn 4️⃣ AI_Finance 5️⃣ KagDatSci 6️⃣ KaggelQuest 7️⃣ Chronic Insight AI Come join us to: - Explore diverse machine learning approaches. - Engage in Q&A with teams and experts. - Network with fellow data enthusiasts. 📅 When: Monday, September 23rd at 7:30 PM (CEST) 📍 Where: Online (via Google Meet) Let’s continue to learn, grow, and collaborate together! 🚀 #AI #DataScience #Kaggle #MachineLearning #Kagglephilic #Community #Teamwork