According to Fei-Fei Li, the convergence of Neural Network algorithms, data, and GPU chips has significantly advanced modern AI, offering substantial opportunities for enhancing work and life, which is essential for technology investors and traders to consider in the context of AI-related stocks and cryptocurrencies (source: Fei-Fei Li's Twitter).

According to DeepLearning.AI, neural networks have been pivotal in advancing AI from early brain-inspired models to modern transformers, impacting AI's biggest breakthroughs. The evolution from simple models using punch cards to advanced deep learning techniques has been crucial for developing sophisticated AI applications. This progression influences trading algorithms and strategies by enhancing predictive analytics and decision-making processes, thereby offering traders improved tools for market analysis and forecasting. Source: DeepLearning.AI.

According to @JeffDean, Google's neural network model with 137 billion parameters, created in 2017, was a pioneer in large-scale AI before the release of GPT-3 in 2020. This model, featuring the Sparsely-Gated Mixture-of-Experts Layer, highlights Google's early advancements in AI, which can influence trading strategies in AI-related stocks as these technologies continue to evolve.