Neural Radiance Fields (NeRF) is a machine learning technique that can create 3D reconstructions of a scene from 2D images ...

Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been ...

Knight Initiative researchers are investigating the detailed processes behind how the brain learns to control movement. Their ...

Researchers at Lehigh University are exploring tiny lab-grown brain organoids to unlock the secrets of the brain’s efficiency ...

Understanding the brain's functional architecture is a fundamental challenge in neuroscience. The connections between neurons ...

These efforts are promising but limited. AI minds don't necessarily map to human concepts. Some believe that we need to accept the fact that AI is a form of cognitive alien, and build safeguards that ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

Abstract: The suspension system in a vehicle plays an important role in ensuring user comfort and safety by dampening vibrations from uneven road surfaces, maintaining vehicle stability, and ensuring ...

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...

Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...

As the demand for faster and more affordable mobile connectivity grows, so does the challenge of ensuring that networks can keep up – both in performance and profitability. A new technical paper ...