OpenAI uncovers global Chinese intimidation operation through one official’s use of ChatGPT

A sprawling Chinese influence operation — accidentally revealed by a Chinese law enforcement official’s use of ChatGPT — focused on intimidating Chinese dissidents abroad, including by impersonating ...

Are China’s ‘AI tigers’ cheating? US rival Anthropic alleges some are

Top United States artificial intelligence firm Anthropic is accusing three prominent Chinese AI labs of illegally extracting capabilities from its Claude model to advance their own, claiming it raises ...

China’s latest AI is so good it’s spooked Hollywood. Will its tech sector pump the brakes?

Over the past week, a slew of cinematic videos of celebrities and characters in absurd situations have gone viral online, with one commonality –– they were created using a new artificial intelligence ...
GitHub

Kronos: A Foundation Model for the Language of Financial Markets

Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. Kronos is a family of decoder-only foundation models, pre-trained ...
IEEE

Natural Gas Transmission Forecasting Using CNN-LSTM Deep Learning Model

Abstract: Oil and gas distribution through undersea pipelines requires continuous monitoring, especially when transmitting these resources through undersea pipelines, as operational failures can lead ...
IEEE

Olfactory Prediction Using CNN-CBAM Model

Abstract: Olfactory perception prediction plays a vital role in multi-modal sensory research, offering insights for health monitoring and personalized experiences. In this work, we propose a novel CNN ...
IEEE

Short-Term Photovoltaic Power Prediction Based on GWO-CNN-LSTM-MATT Hybrid Model

Abstract: This paper proposes a photovoltaic power prediction model based on GWO-CNN-LSTM-MATT. Firstly, the convolutional neural network (CNN) is used to extract the spatial features and local ...
IEEE

GAF-CNN-LSTM Hybrid Model for Power Load Forecasting in Non-Stationary Grids

Abstract: With the increasing penetration of renewable energy in power systems, load forecasting faces dual challenges of modeling non-stationary fluctuations and spatiotemporally coupled features.
IEEE

Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model

Abstract: Coal mining operations trigger geological hazards including ground subsidence, surface fracturing, and landslides, endangering resident safety and infrastructure in mining regions. To ...
IEEE

Enabling Decoder-only Language Model Inference on a CNN Accelerator

Abstract: The remarkable success of Transformer architectures in Natural Language Processing (NLP) has led to increased demand for embedded systems capable of efficiently handling NLP tasks along with ...
IEEE

Enhancing Intrusion Detection in Cloud Computing Environments Using a Hybrid BiGRU-CNN Model

Abstract: Due to its adaptability and pay-as-you-go pricing model, cloud computing has quickly become the go-to option for all types of IT companies. The majority of cloud intrusion detection systems ...
IEEE

Bidirectional Transfer Learning Between Activity and User Identity Recognition via 2D CNN-LSTM Model for Wearables

Abstract: We implement transfer learning (TL) to attain efficiency in training and feature extraction by freezing the connection weights of shallow layers of deep learning (DL) models, already trained ...