Liquid AI's smallest model yet LFM2.5-230M beats models 4X its size at data extraction, can run 'anywhere'

LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...

Aclara Receives Positive Environmental Qualification Resolution For The Penco Module

TORONTO, ON / ACCESS Newswire / June 23, 2026 / Aclara Resources ("Aclara" or the "Company") (TSX:ARA) announces that the Environmental Qualification Resolution ("RCA") for the Penco Module project ...

Aclara Resources Inc.: Aclara Receives Positive Environmental Qualification Resolution For The Penco Module

TORONTO, ON / ACCESS Newswire / June 23, 2026 / Aclara Resources ("Aclara" or the "Company") (TSX:ARA) announces that the Environmental Qualification Resolution ("RCA") for the Penco Module project (t ...

WiMi Implements a Quantum Kernel Convolution (QKC) Scheme Capable of Running on Current Noisy Intermediate-Scale Quantum (NISQ) Devices

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, announces the release of a core technology for hybrid Quantum ...
Nature

A two-stream network with global-local feature fusion for bone age assessment

Bone age assessment (BAA) is a widely used clinical technique that can accurately reflect an individual’s growth and development level, as well as maturity. In recent years, although deep learning has ...
GitHub

[BIBM2024] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning

Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition. The MEEG dataset, capturing emotional responses to various musical stimuli across different valence ...
IEEE

A Local-Global Feature Extraction Self-Supervision Network for Gridless DOA Estimation With Arbitrary Sparse Arrays

Abstract: In this work, we consider the challenging gridless direction-of-arrival (DOA) estimation problem with arbitrary sparse arrays. By utilizing the feature relationship between the received ...
IEEE

Improved EEGNet With a Multilevel Spatial Feature Extraction Module for EEG Decoding

Abstract: In this article, a multilevel spatial feature extraction module (mSEM) is presented for electroencephalography-based brain-computer interface (EEG-BCI) tasks that are conducted according to ...
Frontiers

Fine-grained image classification method based on hybrid attention module

To efficiently capture feature information in tasks of fine-grained image classification, this study introduces a new network model for fine-grained image classification, which utilizes a hybrid ...
Nature

DRA-Net: Medical image segmentation based on adaptive feature extraction and region-level information fusion

Medical image segmentation is a key task in computer aided diagnosis. In recent years, convolutional neural network (CNN) has made some achievements in medical image segmentation. However, the ...
GitHub

Orange-Cyberdefense/KeePwn: A python tool to automate KeePass discovery and secret extraction.

$ python3 KeePwn.py search -u 'Administrator' -p 'P@$$w0rd!!' -d 'COMPANY.LOCAL' -tf ./targets.txt [*] Starting remote KeePass search with 5 threads [PC01.COMPANY ...
Frontiers

Waterline Extraction for Artificial Coast With Vision Transformers

Accurate acquisition for the positions of the waterlines plays a critical role in coastline extraction. However, waterline extraction from high-resolution images is a very challenging task because it ...