This important and compelling study establishes a robust computational and experimental framework for the large-scale identification of metallophore biosynthetic clusters. The work advances beyond ...

Kalyana Krishna Kondapalli, a patented AI innovator and educator who trained 50,000+ students, now leads U.S. government ...

The entire process of trust-building with AIs is described in “VizTrust: A Visual Analytics Tool for Capturing User Trust ...

Red Hat's hybrid cloud-native AI platform streamlines AI workflows and offers powerful new inference capabilities, building ...

Today, phone-connected front-door cameras and comms systems are ubiquitous. Here's a DIY smart doorbell for engineers and ...

This study introduces Megabouts, a transformer-based classifier for larval zebrafish movement bouts. This useful tool is thoughtfully implemented and has clear potential to unify analyses across labs.

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

Ibnu Hafiz Satria, a 2021 alumnus of Petroleum Engineering, Bandung Institute of Technology (ITB), won 1st Place at the SPE ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...