The case in question centers around a Minnesota law banning AI-generated deepfakes designed to influence elections. The state enlisted Jeffrey T. Hancock, a Stanford University professor specializing in communication and AI, to support its argument that such deepfakes pose a legitimate threat to democracy.

By leveraging probabilistic models and optimization techniques, Professor Kochenderfer aims to design robust systems capable of adapting to real-world variability.

Streaming service Netflix is linked to a new generative AI project aiming to revolutionize filmmaking and animation for those with minimal resources.

The AI Advisory at Stanford Committee encourages users to employ AI as they would want others to use it with them, in a new report to promote ethical AI use across campus.

Studying the cell is a difficult and time-consuming process, but scientists have pinpointed generative AI as a potential way to make it easier. The idea is to develop an AI virtual cell that would behave the same way a real cell does.

Despite the AI hype, the systems require consistent monitoring and staffing to put in place and maintain. The process can be complicated — and expensive.

Researchers from Stanford and leading institutions introduced the Artificial Intelligence Pricing Model (AIPM), integrating transformer-based architectures into asset pricing. By leveraging cross-asset information and nonlinearity,

Following a review of agencies’ AI actions, researchers report that governance is still “hindered by limited transparency, resource constraints, and inconsistencies in meeting mandates.”

BrushO, in partnership with Stanford School of Medicine, successfully hosted the launch event for the BrushO AI-Powered Toothbrush at the Stanford Faculty Club. This innovative AI oral care product, along with its unprecedented potential applications,

Combing through scads of DNA, chemical structure, and functional data, researchers have created an AI-guided platform that helps design, build, and test powerful new enzymes.

Quibim says its longer-term plan is to create digital twins of the entire human body, serving “dynamic models” that help the medical community better understand the human body. That all begins at the “organ and lesion level,” as demonstrated by QP-Prostate.

The rapid diffusion of advanced AI capabilities presents challenges that traditional methods - like limiting AI capabilities or regulating diffusion - can no longer adequately address. As the cost of AI development decreases,