Latest Articles for Performance

Research shows benefits of training language models specifically for Portuguese.

ModiFinder aids in locating chemical modifications in small molecules using mass spectrometry data.

Int-splits enhance the efficiency of QBF solvers by reducing unnecessary computations.

Study reveals how external factors influence our motor adjustments.

Exploring the capabilities and applications of quantum reservoir computing in various fields.

A novel approach to enhance performance in atomic registers for distributed systems.

Discover how genetic algorithms can enhance load balancing in complex networks.

Exploring the trade-offs between clustering quality and explainability.

A method focuses on body joint movement for better exercise tracking.

Monitoring glucose is key for athletes during competitions.

A look at how network structure influences neural network performance.

This study examines the performance of language models in radiation oncology physics assessments.

New algorithms enhance semisorting efficiency and flexibility for data processing tasks.

Combining VR and robotics shows promise for upper limb rehabilitation after stroke.

A new approach to decision-making that balances choices with constraints.

Explores the impact of image transformations on model performance in self-supervised learning.

A new memory system combines RAM and ROM for enhanced performance in devices.

Understanding locks and their impact on multi-threaded applications.

Researchers study how neurofeedback impacts working memory in monkeys.

Researchers enhance particle simulations using various programming models for better performance.

Study compares code prompts and text prompts across various language tasks.

A new method enhances speaker verification systems for overlapping voices.

Introducing Feed-Forward Optimization with Delayed Feedback for efficient neural network training.

A new framework for better statistical inference in research and analysis.

A new benchmark suite evaluates PyTorch models for better performance insights.

SweCTRL-Mini is a new language model for generating Swedish text on standard computers.

X-RLflow uses reinforcement learning to enhance computation graph optimization in deep learning.

SAM's performance falters when identifying glass and mirror items.

A new Sobel operator improves edge detection speed and accuracy using GPU technology.

A study on understanding the neuron structure in code-trained language models.

Learn how to build a ray tracing engine using Java and TornadoVM.

New method adapts data collection to enhance software monitoring efficiency.

Learn how RIS improves wireless networks in complex environments, enhancing connectivity.

A new GPU-based GEMM design offers speed and real-time error correction.

New method enhances Intel SGX efficiency and reduces performance issues.

This article presents a new model for autonomous agents that explore effectively.

Innovative methods to improve accuracy in language models amidst misleading information.

Introducing a new approach to machine visual reasoning with transformation-based tasks.

New models aim to perform tasks without fine-tuning, saving time and resources.

A framework to make Wasm binary modifications easier for developers.