When generative AI began writing code with uncanny fluency, it sparked a question: If a chatbot can build software, do people still need to learn to code? Professor of Cognitive Science Philip Guo says absolutely. Understanding code is now more important than ever because AI can get it wrong.
A team of researchers co-led by UC San Diego engineers has demonstrated a new way to remotely control how a material behaves — using sound. The findings could lead to the development of protective gear, robotic muscles or medical implants that adjust their stiffness on demand.
A brain-inspired hardware platform could lead to the development of compact, low-power AI hardware. By mimicking how the brain processes information, the platform improved the speed, accuracy and energy efficiency of simulated tasks such as spoken-digit recognition and early seizure detection.
Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and answering questions in natural language, such as English, about data from AI-driven weather and climate forecasting models.
At UC San Diego, high performance computing (HPC) is being woven directly into undergraduate engineering education by giving students early, hands-on experience with the same tools that drive modern research and development.
“We provide a larger platform so that others can start to make broader connections to see patterns and gaps across fields that usually don’t talk to each other," says Professor Imanuel Lerman.
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