According to Satya Nadella on Twitter, Microsoft’s GhostNetZeroAI project demonstrates how artificial intelligence is being leveraged to enhance expert knowledge in removing abandoned fishing nets—commonly known as ghost nets—from oceans. The AI system uses advanced image recognition and data analysis to identify and locate ghost nets with high precision, enabling marine specialists to target removal efforts more effectively. This application not only accelerates cleanup operations but also reduces costs and environmental impact, showcasing a practical business opportunity for AI solutions in marine conservation and environmental management (Source: Satya Nadella, unlocked.microsoft.com/ghostnetzeroai/).

According to DeepLearning.AI, neural networks have played a pivotal role in the evolution of artificial intelligence, beginning with attempts to replicate the human brain in the 1950s. Early neural networks, such as the perceptron, promised significant potential but fell out of favor in the 1970s due to limitations like insufficient computational power and lack of large datasets (source: DeepLearning.AI, June 17, 2025). The resurgence of neural networks in the 2010s was driven by the advent of deep learning, enabled by advancements in GPU computing, access to massive datasets, and improved algorithms such as backpropagation. Today, neural networks underpin practical applications from image recognition to natural language processing, offering significant business opportunities in sectors like healthcare, finance, and autonomous vehicles (source: DeepLearning.AI, June 17, 2025). The journey of neural networks highlights the importance of technological infrastructure and data availability in unlocking AI's commercial value.