Recurrent neural network (RNN) and long short‐term memory (LSTM) is one of the deep learning algorithm which deals with sequence of numerical inputs enables some tasks like hand written recognition ..

A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

This is an important study utilizing innovative CRISPR based approaches demonstrating the role of the KLF family of transcription factors in the post natal maturation of cortical projection neurons.

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

Object recognition software is used by law enforcement to help identify suspects, by self-driving cars to navigate roadways and by many consumers to unlock their cell phones or pay for their morning ...

Key Dependencies Used PyTorch is an open-source machine learning library based on the Torch library, used to build models for applications such as deep learning, computer vision, image recognition ...

This is structured on the basis of use-cases providing canonical PyTorch Lightning pipelines allowing to train neural network models that are able to surrogate various physical processes.

"Spellbinder enables adversary-in-the-middle (AitM) attacks, through IPv6 stateless address autoconfiguration ( SLAAC ) spoofing , to move laterally in the compromised network, intercepting packets ...

Integrating long-context capabilities with visual understanding significantly enhances the potential of VLMs, particularly in domains such as robotics, autonomous driving, and healthcare. Expanding ...

From Kirkus, a list of the Best Books of the 21st Century (So Far). I’ve read some of these but want to add the rest to my pile.