Latest Articles for Data Processing

This article examines the role of LLMs in self-adaptive systems and their implications.

A method to improve learning across different data types.

GATS merges pretrained models for improved multimodal data processing.

A method to improve efficiency in Mixture of Experts models.

Introducing a scheduler for improved quantum circuit execution and noise management.

A new library improves performance in memory-centric computing systems.

Examining the challenges of image classification and reconstruction in deep learning models.

A novel approach enhances efficiency in Kronecker Matrix-Matrix Multiplication for machine learning tasks.

Exploring the impact of hardware accelerators on Large Language Models.

A fresh approach improves connections between images and their captions.

Exploring the performance gains of Boson Sampling simulations using data-flow engines.

DirDist offers a better way to measure differences between 3D shapes without point correspondences.

A new method to enhance the efficiency of serving LoRA adapters in cloud environments.

A flexible system for better training of large neural networks.

New RFSoC devices streamline radio signal processing in astronomy.

New methods enhance efficiency and accuracy in training large AI models.

A new approach enhances confidence estimation in ASR systems for better accuracy.

PlaceFormer improves visual place recognition using vision transformers for better accuracy.

A method using multiple drones improves ground target detection and localization.

Learn how CNM and CIM optimize data handling for machine learning.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

This article explores advancements in speaker diarization using language models for better accuracy.

This study improves ASR systems' ability to recognize children's speech.

A new approach streamlines page table management in NUMA systems.

A new approach enhances satellite data processing using federated learning methods.

A new approach to querying dataframes ensures privacy and efficiency.

Exploring the impact of large models on future wireless networks.

SHViT enhances efficiency and speed in Vision Transformers for computer vision tasks.

An overview of regular languages and how they can be combined.

LLaVA-MoLE enhances multimodal models by using expert routing for better performance.

A look into Mixture-of-Experts and the role of routers in model efficiency.

GCUs connect machine learning models with biological neuron functions for improved efficiency and interpretation.

Learn how ACADL simplifies modeling for AI hardware accelerators.

InSPECtor optimizes hyperspectral imaging through efficient data collection and processing.

A new method enhances audio-visual segmentation without detailed labels.

Transforming scanned documents into usable text through error correction.

Innovative techniques enhance imaging speed and quality in radar systems.

This article explores how two sensor types improve obstacle detection in self-driving cars.

This method accelerates training for sequential models without sacrificing accuracy.