Princeton University

In the hallways of Princeton, a fascination with the human mind unlocked the power of deep learning

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

DeepSeek tests “sparse attention” to slash AI processing costs

DeepSeek-V3.2-Exp builds on the company's previous V3.1-Terminus model but incorporates DeepSeek Sparse Attention. According ...

Deep learning tool developed to unravel molecular mechanisms of convergent evolution

Convergent evolution—where distinct species independently evolve similar traits or functions, such as the wings of birds and ...
CIO

The broken economics of AI require a full-stack fix

AI’s too pricey right now — fixing chips, software and networks could finally make it fast, cheap, and everywhere.
IEEE

A Transformer-Based Deep Learning Model for Arabic Image Captioning

Abstract: Image captioning is a crucial process that connects text to images. Transformer-based deep learning models have successfully created captions, especially for Arabic. This paper introduces ...

AI Digital Human Product Manufacturers: Ushering in a New Era of Virtual Interaction

AI Digital Human Product Manufacturers: Ushering in a New Era of Virtual Interaction ...
C&EN

De Novo Design of High-Performance Sec-type Signal Peptide via a Hybrid Deep Learning Architecture

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 200237 Shanghai, China State Key Laboratory of Genetic Engineering, Fudan University, 200438 Shanghai, ...

Deep Learning Driven OCR Recognition of Bank Statements: Technological Breakthroughs and Scene Innovations_the_bank_is

In today's rapidly developing fintech landscape, the automation of bank statement recognition has become increasingly urgent as these statements serve as important financial documents. Traditional OCR ...
IEEE

Multi-Task Deep Learning with Transpose Processing Pipeline for Joint Modulation Classification and DOA Estimation

Abstract: Joint automatic modulation classification (AMC) and direction of arrival (DOA) estimation are critical for signal intelligence, but multi-task learning solutions are often hindered by ...