Check out our research on D-ReLU: a robust, adaptive upgrade to ReLU for defending AI from adversarial attacks. Huge thanks to my PhD student Korn Sooksatra, now at Meta! #ResponsibleAI #TrustworthyML Read more: buff.ly/4fC9GeP Paper: buff.ly/3UXzNVi

This #Thanksgiving, we're grateful for #ML innovations like #Transformers, #BERT, #GANs, & more. From advancing #NLP to redefining #Generative #AI, these breakthroughs are shaping AI. Explore the contributions we’re thankful for and use them responsibly: buff.ly/3OtI9QH

If you are at #AAAI come to our session! Great papers!

Join the Cybersecurity Interdisciplinary Incident Response Competition (CIIRC) 2025 and register your team today: ecs.baylor.edu/get-involved/c…

BERT & ResNet dominate text‑image ML; attention fusion boosts results. Review: rivas.ai/pdfs/rashid202… #MultimodalML #AI

🚀 IEEE Std 7003‑2024 sets a new benchmark for bias transparency in AI! 🔍 We discuss its strengths and the need for quantitative metrics. 👉 Swipe for insights & tag your AI buddy. More details: lab.rivas.ai/?p=6993 #IEEE7003 #AlgorithmicBias #ResponsibleAI

🔬 Our latest study derives generalization bounds for noisy quantum ML using Quantum Fisher Information. 🎯 This work links circuit noise to effective dimension, guiding more robust models. 👉 lab.rivas.ai/?p=7010 #QuantumML #QML #Research #AI

🔍 Dive into our latest review on multimodal AI! 📚 We examine BERT + ResNet pipelines, fusion methods & emerging challenges like noisy data and adversarial attacks (Rashid et al., 2024). 🌐 Read more 👉 lab.rivas.ai/?p=7037 #AI #Multimodal #Research #TechInsights

🚀 Our quanvolutional autoencoder speeds up training by ~15 epochs and cuts loss jitter 10‑15× on DDoS visual data! 🌐 (Rivas et al., 2024) 📖 Details: lab.rivas.ai/?p=7066 #AI #QuantumML #CyberSecurity

🚀 Near‑real‑time dust storm detection is now possible! Our 3DCNN+ model processes MODIS data in seconds, reaching 92% accuracy and 21× faster training. 🌍💨 Discover more at lab.rivas.ai/?p=7095 #DustStorm #AI #RemoteSensing #EarthScience

🔬✨ Coreset‑based pruning halves NeRF models and speeds training 35% with ≤1 dB PSNR loss! 🚀🔎 Check the study 👉 lab.rivas.ai/?p=7141 #NeRF #NeuralPruning #3DReconstruction #AI #TechInnovation #RivasAI

🔒 Exciting News! Join the CIIRC 2025 Cybersecurity Interdisciplinary Incident Response Competition and win over $500 in prizes. 🏆 Register your team now! Spaces are limited. Register here: ecs.baylor.edu/get-involved/c…

⏰ Time to *register* your teams for the Cybersecurity Interdisciplinary Incident Response Competition (CIIRC) 2025 🔥: ecs.baylor.edu/get-involved/c…

Well, that was interesting IBM Training By 1amUvld. credly.com/badges/508a9f2…