Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Why T-shaped knowledge is becoming more important than ever in the age of AI

AI tools are fundamentally changing software development. Investing in foundational knowledge and deep expertise secures your career long-term.

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 ...
IEEE

A Coherence-Oriented Fast Time-Domain Algorithm for UAV Swarm SAR Imaging With Trajectory Difference Correction and Data-Driven MOCO

Abstract: By equipping the synthetic aperture radar (SAR) sensors on multiple unmanned aerial vehicles (UAVs) to form a UAV swarm (UAVS) and operate collaboratively, UAVS-SAR presents the significant ...
InfoQ

Are You Missing a Data Frame? The Power of Data Frames in Java

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
GitHub

Python rich client for visual protein Sequence to Structure Analysis (PySSA)

📣 Update details for version 1.3.0 📣 Please reinstall PySSA if your current version is 1.2.0 or older! Version 1.3.0 fixes the bug that every structure ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
IEEE

DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data

Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...