Phonak’s Post

Read: New article "Real-Time AI At The Edge May Require A New Network Solution" by Jim McGregor of TIRIAS Research on how BrainChip's Akida neuromorphic IP solutions support Temporal Event-based Neural Networks (TENNs), which operate only during trigger events, unlike traditional neural networks. This results in higher performance, adaptability, lower latency, and reduced power consumption, providing a new network solution as AI moves to the Edge. https://lnkd.in/gU7NGgeZ

Check out my latest blog post on the Perceptron model – a foundational concept in neural networks and machine learning! Explore how it works, its advantages, and its limitations. #MachineLearning #AI #NeuralNetworks #Perceptron

Check out our article: Bond sensitive graph neural networks for predicting high temperature superconductors Full detail found at https://lnkd.in/gmtCbAKz

Exploring Input Space Mode Connectivity: Insights into Adversarial Detection and Deep Neural Network Interpretability Input space mode connectivity in deep neural networks builds upon research on excessive input invariance, blind spots, and connectivity between inputs yielding similar outputs. The phenomenon exists generally, even in untrained networks, as evidence... https://lnkd.in/eXyHFx-C #AI #ML #Automation

**Discover the Power of Liquid Neural Networks (LNNs)** Are you ready to unlock the potential of neural networks that can process time-series data and dynamically adapt to real-time changes? Inspired by the brain of a microscopic worm, C. elegans, LNNs leverage differential equations to mimic the intricate dynamics of neurons. Dive deeper into this cutting-edge technology and learn what makes LNNs superior in our latest blog post at GOVCRATE.org: [What Are Liquid Neural Networks and What Makes Them Better?]() #LiquidNeuralNetworks #Innovation #AI #NeuralNetworks #GOVCRATEBlog #govcrate #whupi #pacifictech

🌐 Graph Neural Networks (GNNs) have been making rapid strides recently. Despite less hype compared to other AI buzzwords, GNNs have powered numerous achievements in the last year alone. In the following video, I highlight recent breakthroughs and concrete applications of GNNs in 7 diverse areas. 🔗 https://lnkd.in/d28mhuAx Let me know your thoughts! #ai #machinelearning #aiapplications #gnn #graphml

mage analysis using CNN In recent years, Convolutional Neural Networks (CNNs) have revolutionized the field of image analysis, enabling remarkable advancements across various industries. As I reflect on the impact and future potential of CNNs, several key points stand out. **Conclusion:** The journey of CNNs in image analysis is just beginning. With ongoing research and innovation, we can expect even more sophisticated and accessible tools in the near future. By staying informed and engaged with these advancements, we can harness the full potential of CNNs to drive positive change across various domains hashtag#aimers

UNDERSTANDING INFORMATION STORAGE IN ARTIFICIAL NEURAL NETWORKS: CURRENT APPROACHES AND CHALLENGES Todays chat with claude 3.5 sonnet. See it here. LFYADDA.COM Understanding Information Storage in Artificial Neural Networks: Current Approaches and Challenges – talking to claude 3.5 sonnet - LF Yadda

📈 Neural Networks: Mimicking human brain functionality! Neural networks are a series of algorithms that capture the relationship between variables in a manner that mimics the human brain, enabling AI to learn from large amounts of data. They're crucial for tasks ranging from voice recognition to predicting trends. #NeuralNetworks #MachineLearning #AITechnology

🚀 Excited to share a new blog post on reducing activation shift for faster training of neural networks. The paper explores the impact of linearly constrained weights (LCW) in reducing activation shift and improving generalization performance. Check out the full article at https://bit.ly/43rZXlU. #neuralnetworks #machinelearning #deeplearning