An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

A key task in Spoken Language Understanding (SLU) is interpreting user intentions from speech utterances. This task is considered to be a classification problem with the goal of categorizing a given ...

Abstract: Random feature latent variable models (RFLVMs) are state-of-the-art tools for uncovering structure in high-dimensional, non-Gaussian data. However, their reliance on Monte Carlo sampling ...

ABSTRACT: Objective: The study aims to identify and characterize the latent categories of illness uncertainty among parents of children diagnosed with central nervous system tumors, examine the ...

Suvra Pal, an associate professor of statistics in The University of Texas at Arlington's Department of Mathematics, has been awarded a $1.8 million grant from the National Institutes of Health to ...

A pair of undergrads, neither with extensive AI expertise, say that they’ve created an openly available AI model that can generate podcast-style clips similar to Google’s NotebookLM. Toby Kim, one of ...

OpenAI released its newest AI model that it said can understand uploaded images like whiteboards, sketches and diagrams, even if they're low quality. The company called o3 its most advanced model yet ...

Abstract: Cognitive modeling commonly relies on asking participants to complete a battery of varied tests to estimate attention, working memory, and other latent variables. In many cases, these tests ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

A new startup founded by a former Google DeepMind scientist is exiting stealth with $50 million in funding. Latent Labs is building AI foundation models to “make biology programmable,” and it plans to ...