1. Artificial intelligence: A field of computer science that focuses on creating machines or systems that can perform tasks that typically require human intelligence, such as visual perception, decision-making, natural language processing, and problem-solving. 2. Robotics: The study of designing, building, and programming robots to perform specific tasks or functions. Robotics combines elements of mechanical engineering, electrical engineering, and computer science. 3. Biotechnology: The use of biological systems, organisms, or derivatives to develop products or improve processes for various industries, such as pharmaceuticals, agriculture, and healthcare. Biotechnology encompasses areas such as genetic engineering, bioinformatics, and bioprocessing. 4. Environmental science: The interdisciplinary study of the environment, including the physical, chemical, and biological processes that impact ecosystems and natural resources. Environmental science seeks to understand and address environmental issues such as climate change, pollution, and habitat destruction. 5. Materials science: The study of the structure, properties, and applications of materials, such as metals, ceramics, polymers, and composites. Materials science investigates how materials can be engineered or manipulated to improve their performance in various applications, from electronics to medicine. 6. Computational neuroscience: The study of the brain and nervous system using computational models and techniques to understand how neural processes give rise to behavior and cognition. Computational neuroscience integrates principles of neuroscience, computer science, and mathematics to study the brain at multiple levels of complexity.