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, ...
technologynetworks

AI in Research Histopathology: Deep Learning for Preclinical Tissue Analysis and Target Validation

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
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 ...
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 ...

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 ...
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 ...
IEEE

Few-Shot Hyperspectral Image Classification Using Meta Learning and Regularized Finetuning

Abstract: The use of deep learning (DL)-based hyperspectral image (HSI) classification has been made remarkable progress in recent years. However, obtaining sufficient labeled samples for training DL ...
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.

This new AI model thinks in images, not just words

Elorian, founded by the ex-Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains. For almost a decade, AI ...