AI Projects worldwide

AlphaGo (DeepMind):
DeepMind's AlphaGo made headlines by defeating the world champion Go player, showcasing the power of deep learning and reinforcement learning in mastering complex games.

BERT (Bidirectional Encoder Representations from Transformers):
Developed by Google, BERT is a natural language processing (NLP) model that significantly improved the understanding of context in language, leading to breakthroughs in tasks like question answering and sentiment analysis.

GPT (Generative Pre-trained Transformer) series (OpenAI):
Models like GPT-3 demonstrated the capabilities of large-scale language models for tasks such as text generation, translation, summarization, and even code generation. ImageNet Large Scale Visual Recognition Challenge

This annual competition has driven advancements in computer vision, with deep learning models achieving remarkable accuracy in image classification tasks.

While not a single project, the RoboCup initiative aims to promote research in robotics and AI by organizing competitions where robotic teams play soccer. It serves as a testbed for AI and robotics integration.

Neural Architecture Search (NAS):
NAS involves using AI algorithms to automatically search for optimal neural network architectures. Efficient models like EfficientNet, developed through NAS, have demonstrated improved performance and resource efficiency.

NeuroSymbolic AI:
Efforts to combine symbolic reasoning with neural network approaches aim to enhance AI systems' understanding and reasoning abilities, bridging the gap between symbolic AI and connectionist AI.