AI Will Never Be Conscious

In his new book, “A World Appears,” Michael Pollan argues that artificial intelligence can do many things—it just can’t be a ...
Tech Xplore

'Learn-to-Steer' method improves AI's ability to understand spatial instructions

Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...
Bleeping Computer

Palo Alto Networks warns of DoS bug letting hackers disable firewalls

Palo Alto Networks patched a high-severity vulnerability that could allow unauthenticated attackers to disable firewall protections in denial-of-service (DoS) attacks. Tracked as CVE-2026-0227, this ...
IEEE

IntegralCAM: Integral-based contribution estimation and visualization for convolutional neural networks

To explain how a convolutional neural network (CNN) processes an image, it is common to generate classification activation maps (CAMs) to reveal image areas that are relevant to output. Nevertheless, ...
ZDNet

Don't be fooled by this massive YouTube scam network - how to protect yourself

The YouTube Ghost Network promoted thousands of scam videos. Videos offer game hacks or pirated software; they distribute malware. A web of fake accounts makes the scam videos look genuine. A ...
IEEE

Graph Convolutional Network for Point Cloud Understanding Through Homogeneity Partitioning

Abstract: Effectively capturing complex point cloud information is essential for advanced functionalities in consumer electronics, such as augmented reality, virtual simulations, and 3D printing.
Hosted on MSN

How Neural Networks Learn: Forward & Backward Propagation Explained Simply!

Want to understand how neural networks actually learn? This video breaks down forward and backward propagation in a simple, visual way—perfect for beginners and aspiring AI engineers! #NeuralNetworks ...
Hosted on MSN

Cost Functions In Neural Networks Explained – Which One Should You Use And Why?

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...
C&EN

Interpretable Multiscale Convolutional Neural Network for Classification and Feature Visualization of Weak Raman Spectra of Biomolecules at Cell Membranes

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Raman spectroscopy in biological applications faces challenges due to complex spectra, ...