Regardless of how far or fast AI is deployed, its success in the workplace will hinge less on the technology itself and more ...
Benchmarks — the standardized tests that rank AI models on safety, bias, and reasoning — drive markets and shape regulation.
A Transformer is a neural network architecture that revolutionized AI by using a mechanism called "attention" to process and understand relationships between all parts of input data simultaneously, ...
This report assesses America's ability to develop, attract, and retain STEM talent and warns that its advantages over China are narrowing rapidly. The United States-China technology competition is ...
How managers introduce and support AI determines whether workers engage with or resist the technology.
Human-in-the-Loop refers to AI systems that include human feedback or intervention as part of their operation. In these systems, humans may provide guidance, correct errors, or make final decisions to ...
The annual report reveals a field hitting breakthrough capabilities while raising urgent questions about environmental costs, transparency, and who benefits from the technology. The spike in demand ...
Multimodal AI refers to artificial intelligence systems that can process, understand, and generate multiple types of data modalities simultaneously—such as text, images, audio, and video. Unlike ...
Hallucinations in AI refers to instances where an artificial intelligence system generates information or responses that are incorrect, misleading, or entirely fabricated but presented as factual.
In his talk, "AI For Good” Isn’t Good Enough: A Call for Human-Centered AI", Professor James Landay elaborates on his argument for an authentic Human-Centered AI. In his talk, "AI For Good” Isn’t Good ...
Simonyi Conference Center, CoDa, 389 Jane Stanford Way, Stanford, CA 94305 Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are ...
1. Industry continues to make significant investments in AI and leads in notable AI model development, while academia leads in highly cited research. Industry’s lead in notable model development, ...