Cisco and Nvidia Reimagine the Data Center for the AI Era

Cisco and Nvidia are reinventing the data center for the AI era with new hardware, shared blueprints, and a vision for faster ...
Morning Overview on MSN

Oldest preserved brain ever found looks like a spider’s

In a groundbreaking discovery, scientists have unearthed a 520-million-year-old fossil with an intact brain and nerves, ...
College of Computing - Georgia Tech

Ph.D. Student’s Framework Used to Bolster Nvidia’s Cosmos Predict-2 Model

Nvidia used NATTEN to fine-tune its prediction model, Cosmos Predict, and the company introduced the second version of the ...

Jun Ye Advances Neural Interface Technology Through Brain–Computer Systems and Generative AI

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
Deep Learning with Yacine on MSN

Inception Net V1 Explained: Step-by-Step PyTorch Implementation

Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...
Microsoft

BCube: A High Performance, Server-centric Network Architecture for Modular Data Centers

This paper presents BCube, a new network architecture specifically designed for shipping-container based, modular data centers. At the core of the BCube architecture is its server-centric network ...
Frontiers

Brain-Inspired and neurally grounded algorithms in learning and control of advanced robots

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

IBM releases small open-source Granite 4 models for mobile devices and browsers

IBM released all the Granite 4 Nano models under the open-source Apache 2.0 license, which is highly permissive. The license ...
IEEE

SIGNETS: Neural Network Architectures for m-QAM Soft Demodulation

Abstract: This paper presents a novel approach to Quadrature Amplitude Modulation (QAM) demodulation using neural networks, addressing the limitations of traditional demodulation techniques in complex ...
C&EN

Enhanced Prediction of Absorption and Emission Wavelengths of Organic Compounds through Hybrid Graph Neural Network Architectures

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Despite these advancements, predicting absorption and emission ...