Explore if MIT’s spinoff Liquid AI can deliver on its promise to build a new type of AI in 2025. Learn more about its ...

This study aimed to develop deep learning (DL) models based on recurrent neural networks (RNNs) for classifying skin corrosion of chemical compounds based on chemical language notation, molecular ...

Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...

Red Hat, the IBM-owned open-source software giant, has completed its acquisition of Neural Magic, a pioneering artificial intelligence (AI) optimization startup. Initially announced in November ...

It’s genuinely clever, and it uses AI in real time to work it all out – there are basically loads of neural networks processing the game data live as you play, learning what’s in the scene ...

There's intriguing advancements ahead in the future for PC gaming. In a recent blog post, Microsoft explained how the company is partnering with NVIDIA to support the latter's neural rendering ...

like separating objects in an image from the background. Starting with simple geometric shapes like squares and triangles, they created a neural network that could segment these basic images.

The underlying principle is the spiking neural network (SNN) — where a neural network is a collection of machine learning algorithms and the spikes it produces are akin to the signals produced ...

Art therapy is proposed as a treatment approach for SUD for its apparent activation of key neural networks that are also impacted by trauma, and its usefulness in engaging those who have cognitive ...