artificial intelligence

With artificial intelligence tools like ChatGPT rapidly gaining traction among students and teachers alike, it’s no surprise the topic took center focus at NJIT’s 8th Annual STEM Forum for School Leaders, “Leading the Digital Transformation in Our Schools.”

Distinguished Professors David Bader and Guiling “Grace” Wang and Professors Cristian Borcea and Vincent Oria in the Ying Wu College of Computing (YWCC) served as part of Governor Phil Murphy’s AI Task Force for the state of New Jersey, a team comprised of industry leaders, academic experts, consumer advocates, and government innovators tasked with establishing programs, trainings and tools that advance the state’s leadership in AI.

An NJIT computational research team made impressive strides at the Princeton FlyWire Codex Data Challenge. Teams were tasked to solve a highly complex problem: analyzing the intricate network of neurons in the brain of a Drosophila melanogaster — commonly known as the fruit fly. Teams had to treat this neural network as a massive, interconnected graph and work to determine the best possible ordering of neurons. The goal was to maximize the efficiency of the brain's neural pathways, creating an optimal flow of information within this tiny but surprisingly complex system.

In a significant step toward advancing the integration of artificial intelligence in higher education, NJIT has been chosen to participate in the inaugural Institute on AI, Pedagogy, and Curriculum, organized by the American Association of Colleges and Universities (AAC&U). This initiative brings together institutions to address the transformative potential and challenges of AI in shaping the future of education.

Daniel Vargas ‘15, a systems safety engineer at Nvidia, is at the forefront of one of the most exciting and transformative fields in technology—autonomous vehicles. With a career that began in aerospace and defense, Vargas — who graduated with a degree in electrical engineering — has now transitioned into the tech world, where he ensures that Nvidia’s cutting-edge innovations are safe, reliable and compliant.

Research from New Jersey Institute of Technology (NJIT) addresses a critical issue in AI-powered code generation: the prevalence of security vulnerabilities. Ph.D. student Khiem Ton and his colleagues have developed SGCode, a system that combines advanced AI techniques with security analysis tools to detect and fix potential security flaws as code is being created.