1. AlphaFold: DeepMind’s AI system, AlphaFold, made significant advancements in protein folding, solving a long-standing biological challenge.
2. GPT-3: OpenAI’s language model GPT-3 (Generative Pre-trained Transformer 3) gained attention for its remarkable natural language processing capabilities and generated human-like text.
3. Deepfake Detection: Various research groups and organizations developed AI-powered deepfake detection techniques to combat the spread of manipulated videos.
4. Autonomous Vehicles: Companies like Tesla, Waymo, and others continued to make progress in the development of autonomous vehicles, with advancements in self-driving technology and increased safety measures.
5. Robotics: Robots and robotics technology made strides in multiple fields, including healthcare, agriculture, and manufacturing, with innovations like robot-assisted surgeries, automated harvesting, and intelligent factories.
6. Algorithmic Bias: The issue of algorithmic bias gained attention, highlighting the importance of developing fair and unbiased AI systems to avoid perpetuating societal inequalities.
7. AI in Healthcare: AI was increasingly used in healthcare for various applications, such as early disease detection, medical imaging analysis, drug discovery, and personalized medicine.
8. Quantum Computing: Quantum computing saw substantial progress, with companies like IBM and Google achieving significant milestones in developing quantum processors and executing complex computations.
9. AI Ethics: The ethical implications of AI and the need for responsible and accountable AI development were widely discussed. Global organizations and governments focused on creating ethical guidelines and frameworks for AI systems.
10. AI and COVID-19: AI technology played a crucial role in tackling the COVID-19 pandemic, aiding in tasks like contact tracing, drug discovery, epidemiological modeling, and predicting the virus spread.