Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Model Response Optimization Gains Traction as More Accurate Term for AI Search Practices

Marketing professionals question whether "Generative Engine Optimization" accurately describes work focused on shaping ...

Solvit System Quantifies Counter-Drone and Defense Communications with AI and Digital Twins

From battlefield communications to counter-drone defense, security must be measurable.” SEOCHO-GU, SEOUL, SOUTH KOREA, January 23, 2026 /EINPresswire.com/ — Solvit System (CEO Yeong-Goo Kim), a ...
Semiconductor Engineering

Formal Verification Fundamentals Remain Non-Negotiable In The New Verification Revolution

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Quantum Computing - What Is It?What Does It Do - Today??

Quantum computing technology is complex, getting off the ground and maturing. There is promise of things to come. potentially ...
IEEE

An Efficient Parallel and Adaptive Algorithm for Large-Scale Multiple Longest Common Subsequence Problems

Abstract: The Multiple Longest Common Subsequence (MLCS) Problem is to find one or more longest common subsequences from multiple (≥ 3) strings. However, as the scale of the sequences increases, the ...
GitHub

Can Large Language Models Predict Parallel Code Performance?

We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...
IEEE

Multisatellite Scheduling for Stereo Tracking of Moving Targets via Parallel Island Differential Evolutionary Algorithm

Abstract: The tracking of moving targets using satellite constellations presents significant challenges due to the need for time-sensitive and effective scheduling solutions. While static target ...
GitHub

Imprecise Probabilistic Machine Learning

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
Frontiers

State evaluation of zinc oxide arresters based on the initial probabilistic self-learning Bayes algorithm

State Grid Jiangsu Electric Power Co., Ltd., Yancheng Dafeng District Power Supply Branch, Yancheng, China Improving the accuracy of state evaluation for Zinc Oxide (ZnO) surge arresters is essential ...