Tech Xplore

New computer vision method links photos to floor plans with pixel-level accuracy

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A ...

Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
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 ...
eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

This New 3D Chip Could Shatter the “Memory Wall” Holding Back AI

Stanford, CMU, Penn, MIT, and SkyWater Technology reached a major milestone by producing the first monolithic 3D chip ...

MicroCloud Hologram Inc. Develops Quantum-Enhanced Deep Convolutional Neural Network Image 3D Reconstruction Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction ...

Graphics Processing Units: From Pixels To Parameters

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

7 Bell Labs Breakthroughs Honored as IEEE Milestones

Bell Labs is already highly recognized, but in its centennial year, the organization hoped to add more awards to burnish its ...
IEEE

3D Convolutional Neural Networks for Brain Tumor Analysis in Multimodal MRI: A Systematic Review

Abstract: Convolutional neural networks (CNNs) have emerged as a preferred approach for medical image analysis. The dimensionality of images is a principal factor in CNN models, as they are designed ...
Techno-Science.net on MSN

AI: Some architectures are fundamentally close to the human brain

Some artificial intelligence models can already resemble the human brain even before having learned anything. This surprising finding comes from a study that challenges traditional approaches ...
IEEE

Knowledge Distillation-Driven 3D Convolutional Neural Networks for Efficient and Robust Indoor Localization

Abstract: Deep learning models have gained prominence in AI research due to their exceptional feature extraction capabilities. In fingerprint-based indoor localization, 1D and 2D convolutional neural ...
Live Science

What are neural processing units (NPUs) and why are they so important to modern computing?

Neural processing unts (NPUs) are the latest chips you might find in smartphones and laptops — but what are they ard why are they so important? When you purchase through links on our site, we may earn ...