Deep learning reveals how auditory cortex neurons split up natural sound coding

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

The AI tech my dad helped pioneer is now the foundation for the tools I build at AT&T

Natalie Gilbert grew up watching and learning from her dad's work solving neural network problems for AT&T's Bell Labs.
IEEE

SPSDN: A Security Platform for SDN Networks with an AI-based SQL Injection Attack Detection and Mitigation as An Example Service

Abstract: As Software-Defined Networking (SDN) technology continues its rapid expansion, the landscape of security vulnerabilities is expected to undergo significant evolution in the near future [3] .
Live Science

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require. When you purchase through links on our site, we may earn an affiliate ...
IEEE

Generating Spiking Neural Network Code Libraries for Embedded Systems

Abstract: Spiking neural networks (SNNs) are attractive algorithms that pose numerous potential advantages over traditional neural networks. One primary benefit of SNNs is that they may be run ...
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 ...
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 ...