Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
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 ...
JD Supra

IP Hot Topic: Incident to the Very Nature of Machine Learning – Federal Circuit Says Training Data Alone Won’t Rescue AI Patent Claims

On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...
Tech Xplore

Reliably detecting and clearly explaining deepfake images

Artificial intelligence can now generate images that are virtually indistinguishable from real ones. Researchers at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation ...
Medindia

AI Uses Snoring Sounds to Identify Airway Obstruction

AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...
IEEE

Hyperspectral Image Classification With Deep Learning Models

Abstract: Deep learning has achieved great successes in conventional computer vision tasks. In this paper, we exploit deep learning techniques to address the hyperspectral image classification problem ...

SWAU introduces new certificate in machine learning

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ("WIMI" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, has completed systematic benchmark testing on fully ...
IEEE

Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification

Abstract: Learning from a limited number of labeled samples (pixels) remains a key challenge in the hyperspectral image (HSI) classification. To address this issue, we propose a deep metric ...
동아사이언스

[Sci-Tech NOW] GIST tops global acoustic AI contest DCASE 2026

■ 광주과학기술원(GIST)은 김홍국 전기전자컴퓨터공학과 교수팀과 한화비전 R&D센터 인공지능(AI)연구소 공동연구팀이 국제 음향 AI 경진대회 '디케이스 2026 챌린지'에서 공식 팀 랭킹 1위를 차지했다고 14일 밝혔다.