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Liquid Neural Networks: Definition, Applications, & Challenges

Unite.AI

A neural network (NN) is a machine learning algorithm that imitates the human brain's structure and operational capabilities to recognize patterns from training data. Despite being a powerful AI tool, neural networks have certain limitations, such as: They require a substantial amount of labeled training data.

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AI Singularity and the End of Moore’s Law: The Rise of Self-Learning Machines

Unite.AI

What sets AI apart is its ability to continuously learn and refine its algorithms, leading to rapid improvements in efficiency and performance. Companies like Tesla , Nvidia , Google DeepMind , and OpenAI lead this transformation with powerful GPUs, custom AI chips, and large-scale neural networks.

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Efficient Continual Learning for Spiking Neural Networks with Time-Domain Compression

Marktechpost

One new paradigm that has emerged to meet these problems is continuous learning or CL. This is the capacity to learn from new situations constantly without losing any of the information that has already been discovered. Join our Telegram Channel and LinkedIn Gr oup. If you like our work, you will love our newsletter.

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Revolutionizing Robotic Surgery with Neural Networks: Overcoming Catastrophic Forgetting through Privacy-Preserving Continual Learning in Semantic Segmentation

Marktechpost

Deep Neural Networks (DNNs) excel in enhancing surgical precision through semantic segmentation and accurately identifying robotic instruments and tissues. However, they face catastrophic forgetting and a rapid decline in performance on previous tasks when learning new ones, posing challenges in scenarios with limited data.

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A Brain-Inspired Learning Algorithm Enables Metaplasticity in Artificial and Spiking Neural Networks

Marktechpost

Credit assignment in neural networks for correcting global output mistakes has been determined using many synaptic plasticity rules in natural neural networks. Methods of biological neuromodulation have inspired several plasticity algorithms in models of neural networks.

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Understanding the Artificial Neural Networks ANNs

Marktechpost

Artificial Neural Networks (ANNs) have become one of the most transformative technologies in the field of artificial intelligence (AI). Modeled after the human brain, ANNs enable machines to learn from data, recognize patterns, and make decisions with remarkable accuracy. How Do Artificial Neural Networks Work?

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Anthropic and Meta in Defense: The New Frontier of Military AI Applications

Unite.AI

Imagine a future where drones operate with incredible precision, battlefield strategies adapt in real-time, and military decisions are powered by AI systems that continuously learn from each mission. This future is no longer a distant possibility. Instead, it is happening now.

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