1.Natural Language Processing (NLP)
Empowering machines to understand human language with tasks like speech recognition, sentiment analysis, and language translation.
2.Machine Learning (ML)
The heart of AI, driving predictive analytics with techniques such as supervised, unsupervised learning, and neural networks.
3.Computer Vision
Allowing AI to interpret visual data for applications like image and facial recognition, object detection, and video analysis.
4.Robotics
Enhancing autonomous systems with path planning, gesture recognition, and sensor fusion for smarter robots in various industries.
5.Ethics and Safety in AI
Focuses on fairness, transparency, and privacy while tackling algorithmic bias and regulatory compliance.
6.Knowledge Representation & Reasoning
Enabling AI to solve problems and make decisions with knowledge graphs, ontologies, and probabilistic reasoning.
7.Generative AI
Pushing creative boundaries with text generation, synthetic data creation, and AI-produced music and deepfakes.
Read More: https://timesofasi.com/web-stories/7-must-have-ai-tools-every-coder-should-know-in-2025/
Top comments (0)