Latest Articles for Inference

Introducing a model for analyzing complex Markov jump processes with noisy data.

Learn how weight block sparsity boosts AI performance and efficiency.

A new method improves data modeling in areas with limited information.

A new method improves deep learning efficiency for edge devices.

Methods for optimizing performance in large language model training and inference.

E-LLaGNN improves GNNs by selectively using language models for better performance.

A novel approach to enhance performance in hierarchical federated learning.

A new framework enhances language models by integrating external data for better accuracy.

A framework to analyze causal relationships in extreme scenarios.

A new method enhances the speed and efficiency of large language models.

A new model to accurately process hierarchical data structures.

Explore the potential of Physical Neural Networks to transform computing efficiency.

New techniques improve large language model performance and efficiency.

Path-consistency enhances efficiency and accuracy in large language models.

Enhancing LLMs with external memory aids multi-step reasoning tasks.

A new method makes using large language models on mobile devices more efficient.

A deep dive into probabilistic programming for handling uncertainty in various applications.

Researching hardware designs to optimize CNNs for energy-efficient image processing.

A method to determine solid shapes inside tanks through liquid level changes.

A look at how fuzzy logic aids robot navigation indoors.

This article examines AI's growing energy needs and its implications for power systems.

A straightforward approach to predict the solubility of chemical compounds in water.

An easy-to-use tool for fine-tuning speech models without complex code.

Examining the energy use of AI models in continual learning for sustainability.

This article explores how past cases can guide future legal decisions.

NeuroMax enhances topic modeling efficiency and clarity with innovative techniques.

Exploring how Deep Gaussian Processes improve predictions by addressing complex data relationships.

Researchers find ways to make LLMs faster and more accessible for everyone.

An innovative tool for on-device debugging in TinyML models enhances performance and reliability.

SparseInfer improves large language models by boosting speed and reducing memory use.

CAP method streamlines cell tracking, enhancing research efficiency.

DGGS improves 3D modeling by reducing background distractions for cleaner visuals.

Introducing an innovative bow tie neural network for better prediction and uncertainty management.

A new method reduces query overload in 3D detection models.

Understanding plant growth through algorithms and L-systems with potential broad applications.

A new method enhances language models, making them more resistant to adversarial tricks.

LazyDiT offers a smarter way to create images faster without losing quality.

Large language models challenge traditional views of language and meaning.

How AI is learning to read human thoughts and emotions.

Discover how Koka Bayes makes probabilistic programming easier and more effective.