Kimi K2.5 handles up to 100 sub-agents and 1,500 tool calls, cutting task time 4.5x so you finish complex work sooner.

Cambridge researchers have become the first to combine multiple image types—RGB (that mimics human vision), depth and ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Pengfei Song is part of a team led by the University of Alberta, which has received an ARPA-H award to create high-resolution ...

In 2025, North America held a dominan market position, capturing more than a 38.6% share, holding USD 0.64 Billion revenue.

DeepMind COO Lila Ibrahim discusses building powerful AI with care, ethics and a long-term focus on human impact.

I spoke with Gmail VP of Product Blake Barnes to better understand Gmail's latest AI updates. Behind them lies a much larger idea.

Department of Computer Engineering, College of Computer Sciences and Information Technology, King Faisal University, Al Ahsa, Saudi Arabia The date palm (Phoenix dactylifera L.) is a vital crop in ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

This project implements Vision Transformer (ViT) for image classification. Unlike CNNs, ViT splits images into patches and processes them as sequences using transformer architecture. It includes patch ...

Generating synthetic data with diffusion models poses a challenge due to the scarcity of data in computer vision. However, its practical application presents challenges, including the need for ...