eLife

Human brain dynamics and spatiotemporal trajectories during threat processing

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
Hosted on MSN

Activation functions in neural networks: Types and examples

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...
Frontiers

Verification of the PWR core solver coupling the neutron code nTRACER with artificial neural networks for thermal–hydraulic feedback

The Paul Scherrer Institute (PSI) and North Carolina State University are developing a high-resolution multi-physics core solver for pressurized water reactor (PWR) analysis in Cartesian geometry, ...
Hosted on MSN

How this neural interface lets me write code with my mind

Imagine writing software without touching a keyboard. This neural interface reads brain waves and turns them directly into code, pushing the boundaries of programming and human-computer interaction.
TechCrunch

Cyber giant F5 Networks says government hackers had ‘long-term’ access to its systems, stole code and customer data

Cybersecurity firm F5 Networks says government-backed hackers had “long-term, persistent access” to its network, which allowed them to steal the company’s source code and customer information. In a ...
Bleeping Computer

F5 says hackers stole undisclosed BIG-IP flaws, source code

U.S. cybersecurity company F5 disclosed that nation-state hackers breached its systems and stole undisclosed BIG-IP security vulnerabilities and source code. The company states that it first became ...
IEEE

A Convolutional Neural Network to Spiking Neural Network Conversion Framework for Seismic Denoising

Abstract: This study investigates the application of Spiking Neural Network (SNN) in seismic signal denoising by developing a Convolutional Neural Network (CNN) to SNN conversion framework. We focus ...
IEEE

Integrating Viterbi-Like Algorithms with Neural Networks for Resynchronizing Permutation Codes

Abstract: Permutation codes are extensively studied because of applications such as frequency-shift keying modulation for power line communication (PLC). In PLC ...
Hacker

The Evolution of Code Generation: A Look at Neural Diffusion, GFlowNets, and Direct Editing

byPhotosynthesis Technology: It's not just for plants! @photosynthesis Cultivating life through Photosynthesis, harnessing sunlight to nourish ecosystems and fuel a sustainable future. Cultivating ...