As countries like the UAE delegate decision-making to algorithms, evidence shows  these systems can cause widespread harm and ...
Artificial Intelligence (AI) is promoted as a boon to society, doing all sorts of work for us, leaving much more time for ...
Researchers have developed an AI algorithm that could successfully identify relevant clinical trials for which a person is eligible and provide a summary that clearly explains how that person meets ...
Forbes contributors publish independent expert analyses and insights. Gary Drenik is a writer covering AI, analytics and innovation. This voice experience is generated by AI. Learn more. This voice ...
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...
Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like macrophages hunt down and destroy pathogens. Traditionally, distinguishing ...
This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...
AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...
Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...
The business practice of adjusting prices using algorithms powered by artificial intelligence—known as AI pricing—has grown ...
It’s hard to look at the current-generation gaming hardware and not feel like we’re in the quiet before the storm. Because while the PS5 Pro just came out last year, and Microsoft just had a vague ...
A method for identifying representations of concepts in neural networks could provide a more-effective way to control and monitor artificial-intelligence systems. Read the paper: Toward universal ...