This new AI model thinks in images, not just words

Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains.
Scientific Computing World

The shifting landscape of HPC storage: balancing AI workloads and parallel file systems

The landscape of high-performance computing (HPC) storage is undergoing significant change. Traditional simulation and data engineering workloads are increasingly running alongside generative AI, ...
eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
Technology Networks

Cellpose, StarDist, and the Deep Learning Cell Segmentation Revolution

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...
IEEE

Deep Learning-Based Multi-Class Classification of Paddy Leaf Diseases Using Custom Convolutional Neural Network Architecture

Abstract: Paddy (rice) is among the most vital staple crops in the globe and it is a crop whose productivity is largely influenced by different leaf diseases. It is critical that these diseases are ...
PNAS

Adaptable microplastic classification using similarity learning on µFTIR spectra collected from µFTIR focal plane array imaging

Microplastics have been found to be highly pervasive in the environment, driving concerns for health, environment, and ecology. Analytical methods that can accurately identify microplastics are ...
VentureBeat

Sakana introduces new AI architecture, ‘Continuous Thought Machines’ to make models reason with less guidance — like human brains

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Tokyo-based artificial intelligence startup ...
IEEE

OVANet: Dual Attention Mechanism Based New Deep Learning Framework for Diagnosis and Classification of Ovarian Cancer Subtypes From Histopathological Images

Abstract: This paper introduces OVANet, a new deep learning framework for the diagnosis and classification of ovarian cancer subtypes from histopathological images. OVANet has been designed by ...