Daniel Chou is a Data Scientist at Georgetown’s Center for Security and Emerging Technology (CSET) focused on transforming data into knowledge. He previously worked at Defense Group supporting government clients with analytics of geospatial, unstructured, and text-based data sets. Daniel enjoys playing the game of Go. He was a member of the U.S. Go Team in the 1st World Mind Sports Games. Daniel holds degrees from Johns Hopkins University (MSE, Computer Science) and Caltech (B.S., Mathematics).
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Large generative models are widely viewed as the most promising path to general (human-level) artificial intelligence and attract investment in the billions of dollars. The present enthusiasm notwithstanding, a chorus of ranking Chinese scientists regard… Read More
Daniel Chou offered his expertise in an article published by Newsweek. The article explores the growing concerns surrounding Chinese-made Insta360 action cameras, which are used by NASA, the U.S. Air Force, and other American entities,… Read More
The celebrated return to China of its overseas scientists, as evidenced in the recent case of physicist Gao Huajian, is typically cited as a loss to the United States. This report argues a contrarian view… Read More
Analysis
Bibliometric Analysis of China’s Non-Therapeutic Brain-Computer Interface Research
March 2024China’s brain-computer interface research has two dimensions. Besides its usual applications in neuropathology, China is extending the benefits of BCI to the general population, aiming at enhanced cognition and a “merger” of natural and artificial… Read More
An expert assessment of Chinese scientific literature validates China's public claim to be working toward artificial general intelligence (AGI). At a time when other nations are contemplating safeguards on AI research, China’s push toward AGI… Read More
Tracking the output of a country’s researchers can inform assessments of its innovativeness or assist in evaluating the impact of certain funding initiatives. However, measuring research output is not as straightforward as it may seem. Read More
China is following a national strategy to lead the world in artificial intelligence by 2030, including by pursuing “general AI” that can act autonomously in novel circumstances. Open-source research identifies 30 Chinese institutions engaged in… Read More
CSET's Daniel Chou provides an update on previous CSET research exploring China's security forces' AI research portfolio. Read More
China’s State Key Laboratory system drives the country’s innovation in science and technology. A key part of China’s aim to reduce its dependence on foreign technology, these labs conduct cutting-edge basic and applied research, attract… Read More
China is banking on applying AI to biotechnology research in order to transform itself into a “biotech superpower.” In pursuit of that goal, it has emphasized bringing together different aspects of the development cycle to… Read More
New analytic tools are used in this data brief to explore the public artificial intelligence (AI) research portfolio of China’s security forces. The methods contextualize Chinese-language scholarly papers that claim a direct working affiliation with… Read More
In this proof-of-concept project, CSET and Amplyfi Ltd. used machine learning models and Chinese-language web data to identify Chinese companies active in artificial intelligence. Most of these companies were not labeled or described as AI-related… Read More
Since 2016, China has engaged in a nationwide effort to "merge" AI and neuroscience research as a major part of its next-generation AI development program. This report explores China’s AI-brain program — identifying key players… Read More