AI accelerates elucidation of nuclear forces with explosive neutron star data

A research team is using astrophysical explosions to understand the mysterious forces at work in some of the smallest ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Neel Somani Investigates How Artificial Intelligence May Help Verify Mathematical Research

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.

This scientist is racing to predict deadly volcanic mudslides

One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.
Frontiers

Machine Learning and AI-Driven Biomechanics in Orthopedic Surgery

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

Did Alibaba just kneecap its powerful Qwen AI team? Key figures depart in wake of latest open source release

The takeaway? If you value Qwen's open source efforts, download and preserve the models now, while you still can.
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Frontiers

Salp swarm-optimized machine learning models for predicting preoperative aortic rupture risk in acute type a aortic dissection patients

Acute Type A aortic dissection (ATAAD) is characterized by acute onset and rapid progression, with aortic rupture due to dissection extension being the primary lethal mechanism. Timely identification ...
The New York Times

A.I. Will Destroy Critical Thinking in K-12

A few weeks ago, my ears perked up when a gaggle of middle school volleyball players in my car were talking about the teachers they don’t like; I have an unfortunate appetite for tweenage gossip, and ...
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...