At #Computing2025, Aimal Khan shared his excitement about using AI for level sensing in industrial environments ⚙️🤖. By improving how we detect fluid levels in large tanks—despite electromagnetic interference—his work promises smarter, more accurate industrial monitoring #AI

At #Computing2025, Thomas Nowotny highlighted neuromorphic computing’s journey—from 1980s curiosity to today’s energy-efficient, brain-inspired systems like Intel’s Loihi and research breakthroughs in Manchester and Dresden. ⚡🧠 #NeuromorphicComputing #AI #FutureTech

At #Computing2025, Donnie McLeod presented innovative work combining two machine learning approaches never used together before 🤖📊. #TechInnovation #ComputingConference #MachineLearning #Science #Technology #Innovation #ComputerScience #Robotics #DeepLearning #machinelearning

At #Computing2025, Thomas Nowotny revealed why neuromorphic systems aren’t mainstream yet—the challenge lies in training spiking neural networks efficiently. His research aims to overcome this software hurdle for brain-inspired, energy-efficient computing. 🌍💡 #AI #Neuromorphic

At #Computing2025, Thomas Nowotny highlighted the challenges of reducing AI’s carbon footprint 🌍⚡. Moving to energy-efficient neuromorphic systems is tough but possible with focus, climate urgency, and responsible computing. 💻🌱✨ #SustainableAI #GreenTech #AIResearch

At #Computing2025, Joonas Uusnäkki tackled limited computing power in ML 💻⚙️, pioneering a first-time dual-method approach 🤖. His industrial perspective bridges academia and real-world AI, driving practical, impactful solutions 🌍🚀#Computing2025 #AIResearch #TechInnovation #AI

At #Computing2025, Thomas Nowotny revealed that training ChatGPT once used as much energy as driving to the moon and back, warning that AI’s exponential growth could soon consume vast Earth energy. ⚡🌍 #AI #ChatGPT #FutureTech #ThomasNowotny #TechInnovation #SustainableTech

At #Computing2025, Thomas Nowotny explained how spiking neural networks mimic the brain 🧠—from input to output layers where spikes and dynamics interact. #ThomasNowotny #Computing2025 #GradientDescent #AIResearch #DeepLearning #MachineLearning #NeuralNetworks #BrainInspiredAI

At #Computing2025, Thomas Nowotny explained how Gradient Descent helps AI learn by reducing errors—updating weights step by step to minimize loss and boost performance. A simple idea driving powerful machine learning innovation! ⚙️🧠✨ #AI #MachineLearning #Computing2025

At #Computing2025, Thomas Nowotny explained how brain-inspired neural networks scale efficiently: backward passes mirror forward passes, leveraging decades of simulation tech for GPUs/CPUs, outperforming standard frameworks like PyTorch or TensorFlow. ⚡🧠💻 #NeuromorphicAI #AI

At #Computing2025, Thomas Nowotny explored the Spiking Heidelberg Digits dataset, showing how spoken digits are converted into spiking patterns for energy-efficient, brain-inspired AI speech recognition. 💻⚡🧠🌱🚀 #ThomasNowotny #AI #NeuromorphicComputing #SpeechRecognition

At #Computing2025, Joonas Uusnäkki showcased how Aalto’s on-premise AI system enables secure, private data use without third-party access—setting a new benchmark for privacy-preserving LLM research in higher education 🔐🤖 #AIResearch #DataPrivacy #SecureAI

At #Computing2025, Thomas Nowotny explained why Spiking Neural Networks aren’t ideal for static images—time-based pixel encoding makes them costly, but their real strength lies in dynamic, time-driven tasks. #ThomasNowotny #SpikingNeuralNetworks #Computing2025 #AIResearch

At #Computing2025, Donnie McLeod addressed the surge in DDoS attacks, developing real-world solutions to protect Software Defined Networking (SDN) in data centers. Bridging research and industry, his work strengthens cybersecurity through practical, scalable, and intelligency

At #Computing2025, Donnie McLeod introduced an AI-driven approach to defend Software Defined Networks from DDoS attacks 🛡️💻. His research strengthens virtualized data center systems, making modern network management safer and more resilient. #CyberSecurity #SDN #Computing #AI

At #Computing2025, Dr. Martin Zhao unveiled a Stepwise Custom Regression Model analyzing skeletal development in rhesus monkeys 🧬🐒—a species sharing 93% of human DNA—offering fresh insights into biological growth and cross-species modeling 📊✨ #MartinZhao #AIResearch #Science

Thrilled to share some news! 🙂🎉 I'll speak at the Computing Conference 2025 on June 19 - 20, 2025. I would love to see you there! 🔗 https://t.co/VIGdEALGYh #Computing2025 #SAIConference

Large Language-Audio Models and Applications | Wenwu Wang | Computing2025

The 100-year journey to quantum computing | Peter Mueller | Computing2025 - YouTube https://t.co/mPZuyUnzYp #QuantumComputing