A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

In a new open-access study that I published with my late colleague Kostya Trachenko from Queen Mary University of London, I propose a surprisingly simple nonlinear mathematical equation that unifies ...

Artificial intelligence systems, such as large language models (LLMs) and convolutional neural networks (CNNs), can analyze ...

The Trump administration, which took a noninterventionist approach to artificial intelligence, is now discussing imposing oversight on A.I. models before they are made publicly available. By Tripp ...

Scientists at Tufts have created a powerful 3D model of nasal tissue that reveals surprising new insights into how our sense of smell regenerates and why it sometimes fades. Contrary to past ...

Abstract: Transformers are at the core of modern AI nowadays. They rely heavily on matrix multiplication and require efficient acceleration due to their substantial memory and computational ...

Microsoft AI, the tech giant’s research lab, announced the release of three foundational AI models on Thursday that can generate text, voice, and images. The release signals Microsoft’s continued push ...

Presearch’s “Doppelgänger” is trying to help people discover adult creators rather than use nonconsensual deepfakes. “I don’t think people understand. I do a shitload of marketing,” Lynx says.“That’s ...

Different AI models win at images, coding, and research. App integrations often add costly AI subscription layers. Obsessing over model version matters less than workflow. The pace of change in the ...

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the ...

Abstract: Multiplication is a fundamental operation in neural network models. However, signed multibit multiplication and accumulation (MAC) pose significant challenges, primarily due to the ...