Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

How many fossils does it take to accurately train an image-based AI algorithm? According to a new study co-authored by Bruce ...

In retinal disease screenings, artificial intelligence can help deliver diagnoses earlier, giving physicians more time to preserve vision.

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

Companies like Apple and Qualcomm are in the early stages of making on-device AI more useful. Amid all that, the 14-person ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...