Apple announced Monday a lower-priced version of the iPhone 17, expanding its smartphone lineup as it relies on its blockbuster product to stave off concerns the company is ...
In a major shift in its hardware strategy, OpenAI launched GPT-5.3-Codex-Spark, its first production AI model deployed on ...
A Hybrid Architecture Combining CNN, LSTM, and Attention Mechanisms for Automatic Speech Recognition
Abstract: This research proposes a robust sequence-tosequence model architecture for speech recognition tasks, incorporating convolutional and recurrent neural networks with attention mechanisms. The ...
Recent advances in materials, devices, and system architectures are driving a new generation of computing beyond traditional CMOS, with neuromorphic ...
This environment allows models to maintain persistent context, memory, and identity. Rather than a series of disconnected calls, the stateful environment enables AI coworkers to handle ongoing ...
While reaffirming its Microsoft partnership, the company is building a Bedrock-native orchestration layer that positions it firmly in multi-cloud territory.
Abstract: Financial fraud is a growing concern in digital transactions, with traditional fraud detection systems struggling to keep up with evolving fraudulent tactics. This study proposes a hybrid ...
A common pitfall in digital healthcare is treating data governance as a secondary compliance task rather than a foundational ...
Insiders reveal how OpenAI’s rapidly growing coding agent works, why developers are delegating tasks to it, and what it means ...
Abstract: Modeling of nonlinear loads is crucial for analyzing and evaluating power quality in modern power system. To further enhance both accuracy and robustness, a novel data-driven nonlinear load ...
Abstract: Acne is a widespread dermatological condition, affecting approximately $85-90 \%$ of adolescents and young adults, with studies indicating that over 50 % of those affected experience ...
Abstract: Innovations in deep learning architectures are driving a paradigm shift in computer vision. While traditional convolutional neural networks (CNNs) have long dominated image tasks due to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results