Computer science
Researchers at the Department of Computer Science and Engineering have made significant strides in developing an early detection system for dementia, a debilitating condition that impairs cognitive abilities and causes memory loss. The AI-powered ensemble model incorporates machine learning and deep learning frameworks, leveraging publicly available datasets to identify dementia
College faculty
African languages are crucial to the development of AI, as they hold culture, values, and local wisdom. However, the lack of language data and poor AI performance in African languages have denied millions of people access to global resources, news, and healthcare information. The African Next Voices project aims to
College faculty
Two University of Michigan-Flint computer science professors, Suleyman Uludag and Halil Bisgin, have been awarded a $300,000 National Science Foundation grant to expand student access to cybersecurity education. The grant will enable the professors to broaden their work on converting peer-reviewed research papers on artificial intelligence usage in cybersecurity
College faculty
The University of Texas at El Paso has received a $500,000 grant from the U.S. Nuclear Regulatory Commission (NRC) to develop pioneering AI-driven cybersecurity measures for nuclear power plants. The project, led by Assistant Professor Sajedul Talukder and Syed Bahauddin Alam, aims to create a multi-layered security system,
College faculty
WPI faculty members Jennifer Rudolph, a historian of modern China and professor in humanities and arts, and Lane Harrison, data visualization expert and associate professor in computer science, have received a $600,000, two-year International Peace and Security Program grant from the Carnegie Corporation of New York to advance an
College faculty
In a staggering display of academic mismanagement, a PhD-holding professor, Dr. Javedullah, has been assigned to teach Grade 7 and 8 students at the Islamabad College for Boys (ICB) G-6/3 in Islamabad. Despite his exceptional qualifications, including a PhD in Computer Science from Florida State University, USA, Dr. Javedullah&
Computer science
As the field of quantum computing continues to grow, it is becoming increasingly important for individuals to be aware of the opportunities and challenges that lie ahead. According to experts, the key to success in this field is not solely dependent on technical expertise, but also on the ability to
Machine learning
Boston College will introduce a five-year doctoral program in computer science this fall, focusing on the intersection of technology and ethics. The program aims to equip students with the skills to navigate the societal implications of AI and machine learning while contributing to social good. With a unique emphasis on
Artificial intelligence
As companies worldwide rapidly implement artificial intelligence (AI) systems to cut costs and boost revenue, a top expert has sounded a dire warning on the impending consequences of this trend. Roman Yampolskiy, a computer science professor at the University of Louisville in the US, has predicted that AI could lead
Machine learning
Russian-born billionaire Alex Gerko is seeking students for research internships at his London-based fintech firm, XTX Markets, offering £26,000 a month. The internships, available to students with ongoing PhDs in quantitative fields, require solid programming skills and a proven publication record in machine learning. XTX Markets, one of the
Artificial intelligence
As humans, we learn and adapt to new situations in distinct ways, often incorporating both quick, flexible learning and incremental learning to improve our understanding over time. New research at Brown University has found striking similarities between human learning and artificial intelligence learning, shedding light on the complexities of human
Machine learning
A new research study by the Department of Computer Science presents fresh data on artificial intelligence, with a focus on developing a predictive model for STEM students using advanced ensemble machine learning algorithms. The study, which gathered secondary data from three Ethiopian universities, employed techniques such as Random Forest, CatBoost,
