Artificial Intelligence (AI) Research Scientist
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An Artificial Intelligence (AI) Research Scientist is a computing science researcher who specializes in the AI domain (of AI tasks, algorithms, and systems).
- AKA: AI Scientist.
- Context:
- They can (typically) perform literature reviews, identifying and summarizing relevant academic papers and articles to stay updated with current research.
- They can (typically) collaborate with multidisciplinary teams, including computer scientists, engineers, and domain experts, to advance AI technologies.
- They can (often) work in academia, conducting AI research and publishing findings in scientific journals.
- They can (often) focus on specific subfields such as Machine Learning, Natural Language Processing, Computer Vision, or Robotics to develop deep expertise.
- They can (often) generate hypotheses by analyzing existing data and literature, proposing new research directions.
- They can range from being a Human AI Researcher to being an Automated AI Researcher, reflecting the evolving nature of the field.
- They can range from being an Industry AI Researcher, an Academic AI Researcher, a Military AI Researcher, or a Non-Profit AI Researcher.
- They can present their research at conferences, contributing to the AI research community and engaging with other researchers.
- They can conduct data analysis, processing large datasets to extract meaningful insights and patterns.
- They can develop and implement AI models, testing and refining algorithms to improve performance and accuracy.
- They can write research papers, drafting sections or entire manuscripts based on the research findings and data analysis.
- They can assist in grant writing, identifying funding opportunities and drafting grant proposals to secure research funding.
- ...
- Example(s):
- a Machine Learning Researcher who develops new algorithms to enhance predictive modeling.
- an NLP Researcher who designs systems for language understanding and generation.
- a Computer Vision Researcher working on image recognition and processing techniques.
- Alec Radford.
- ...
- Counter-Example(s):
- Computer Scientists, who may work on non-AI related fields of computing such as software engineering or cybersecurity.
- AI Engineer.
- Data Analysts, who primarily focus on analyzing data without necessarily developing new AI methodologies.
- See: Cognitive Scientist, AI Discipline.
References
2015
- (Stajic et al., 2015) ⇒ Jelena Stajic, Richard Stone, Gilbert Chin, and Brad Wible. (2015). “Rise of the Machines.” In: Science Journal, 349 (6245). doi:10.1126/science.aaa8415
- QUOTE: AI researchers also have a grander aspiration: to create a well-rounded and thus more human-like intelligent agent.
1998
- (Moravec, 1998) ⇒ Hans Moravec. (1998). “When Will Computer Hardware Match the Human Brain.” In: Journal of evolution and technology, 1(1).
- QUOTE: This paper describes how the performance of AI machines tends to improve at the same pace that AI researchers get access to faster hardware. Based on extrapolation of past trends and on examination of technologies under development, it is predicted that the required hardware will be available in cheap machines in the 2020s.