Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Grok chatbot allowed users to create digitally altered photos of minors in "minimal clothing"

Grok, the chatbot developed by Elon Musk's company xAI, said it is fixing "lapses in safeguards" after social media users ...
The Malaysian Reserve

WiMi Releases Next-Generation Hybrid Quantum Neural Network Structure Technology, Breaking Through the Bottleneck of Image Multi-Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ...

Targeting more accurate methane emissions measurements in oil and gas

The energy sector has been found to hold 72% of methane mitigation potential, meaning emissions measurements have never been ...

Ambarella Accelerates Edge AI Innovation for Next Generation of Drones; Antigravity Deploys Ambarella’s CV5 AI SoC in Antigravity A1 Drone

Building on Long Track Record in Aerial Imaging, Ambarella Expands Focus for On-Device AI, Enables Smarter Autonomy for ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
inforum

MNUFC’s Eric Ramsay shares ‘frustration’ over silent transfer window

Minnesota United has not signed a single new player in the summer transfer window and has less than one week to get deals over the line. Efforts are being made by the Loons front office to bring in ...
IEEE

Hybrid ResNet-ViT Transfer Learning Approach for Brain Stroke Classification on Computed Tomography Images

Abstract: This study investigates the utilization of a hybrid Convolutional Neural Network (CNN) and Vision Transformer (ViT) model, employing transfer learning methods, to enhance brain stroke ...
AOL

The Definition of Transfer learning

Transfer learning is a machine learning technique that allows a model trained on one task to be repurposed or fine-tuned for a related task, drastically reducing the amount of data and computational ...
Frontiers

Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients

Introduction: Motor imagery functional near-infrared spectroscopy (MI-fNIRS) offers precise monitoring of neural activity in stroke rehabilitation, yet accurate cross-subject classification remains ...