Choosing between these models depends on whether you are prioritizing pure coding power, agentic autonomy, or local efficiency. The landscape ...

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 ...

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.

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 ...

OpenAI has launched GPT-5.3-Codex-Spark, a lightweight real-time coding model that promises faster output, lower latency, and ...

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 ...

OpenAI has unveiled an ultra-fast AI model called GPT 5.3 Codex Spark model for real-time coding. All you need to know.

“Codex-Spark is the first step toward a Codex that works in two complementary modes: real-time collaboration when you want ...

OpenAI has spent the past year systematically reducing its dependence on Nvidia. The company signed a massive multi-year deal with AMD in October 2025, struck a $38 billion cloud computing agreement ...

Abstract: A research project focuses on creating automated trash detection and classification through convolutional neural networks (CNNs) with an objective to improve waste management systems. The ...

West Virginia sheriffs are leading in partnering with U.S. Immigration and Customs Enforcement through a federal 287(g) immigration enforcement program.

The model had claimed that the haircut adversely affected her appearance and confidence, leading to the loss of modelling and ...