Columbia University School of Professional Studies

SPS Introduces New Biodiversity Data Analytics Program with Launch Event: Here’s How to Attend

The discussion will feature a panel of distinguished experts in biodiversity conservation, data analytics, business, and ...
Computer Weekly

AI workflows - RecordPoint: Accelerating AIOps with integrated data risk management

There’s just one catch: a rapid embrace of AIOps, without considering the data that powers it exposes organisations to risk. In the quest to optimise developer performance, data risk management can ...
GitHub

astudentuser/Pre-training-Time-Series-Models-with-Stock-Data-Customization

We use the stock selection benchmark dataset from https://github.com/fulifeng/Temporal_Relational_Stock_Ranking/tree/master. To prepare the data: feature_describe ...
IEEE

Divide and Conquer: Frequency-Aware Contrastive Adversarial Training for Robust Point Cloud Classification

Abstract: Contrastive adversarial training has shown great potential in enhancing model robustness and has been adopted in point cloud classification. There are varying spatial distributions and ...
Conventus Law

China’s Evolving Data Security Regulatory Framework For Financial Institutions.

China has significantly tightened data security and personal information (PI) protection in recent years. Key laws include the Cybersecurity Law, the Data Security Law, and the Personal Information ...
Defense One

Senior officers need more data training, Army counterdrone exercise suggests

The Army’s counterdrone mega-exercise in Europe isn’t over, but at least one thing seems clear: senior officers need more data training. For the past five months, Project Flytrap has assembled U.S.
GitHub

Checkpointing broken for classifier training multi-gpu

"""Simple IMDB binary classification training script using Qwen3-14B and HF Trainer.""" import torch from datasets import DatasetDict, load_dataset from transformers ...
Scientific Research Publishing

Explore the Use of Prompt-Based LLM for Credit Risk Classification ()

Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated superior ...
Frontiers

Accurate earthquake and mining tremor identification via a CEEMDAN-LSTM framework

The accurate identification of mining tremors and earthquakes is important for establishing a comprehensive mining tremor catalog that can aid in providing regulatory oversight for mining activities.
Frontiers

Efficient tree species classification using machine and deep learning algorithms based on UAV-LiDAR data in North China

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...