Nvidia’s new lineup of open-source AI models is headlined by Alpamayo 1 (pictured), a so-called VLA, or ...

Abstract: Signal processing, communications, and control have traditionally relied on classical statistical modeling techniques. Such model-based methods utilize mathematical formulations that ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

An analysis of recent guidance and emerging best practices on counsel’s ethical duty to be technologically proficient, with a focus on counsel’s obligations in the context of e-discovery and ...

An expert Q&A on the legal, ethical, and practical considerations and emerging issues regarding judicial use of AI, including ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...