Artificial intelligence and deep learning have revolutionized the field of neural data analysis in recent years. The explosion of complex, high-dimensional ...

Alphabet Inc.’s Google DeepMind lab today shared results for CodeMender, an artificial intelligence-powered agent that automatically detects, patches and rewrites vulnerable code to prevent future ...

We know next to nothing about 99.999 percent of the seafloor. How one researcher plans to democratize deep-sea exploration. Katy Croff Bell, who has been an ocean researcher for 25 years, is working ...

Abstract: Fault localization is a technique that plays a valuable role in reducing the burdensome task of hardware design code, such as Verilog or VHDL. The recent advancements in deep learning have ...

A few months ago, I asked ChatGPT to recommend books by and about Hermann Joseph Muller, the Nobel Prize-winning geneticist who showed how X-rays can cause mutations. It dutifully gave me three titles ...

The Linux terminal isn't nearly as hard as you think. Understanding the fundamentals will help get you started. These concepts apply to all Linux distributions. When many think about Linux, they think ...

Microsoft has released the source code for the BASIC version it developed in 1976 for the MOS 6502 processor, a central component of many early home computers, The Register reports. As far back as ...

Abstract: Channel code type recognition is critical for enabling receivers to discern codes without prior knowledge. Despite the promise of deep learning approaches in this field, they often encounter ...

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...

Learn how to effectively read and understand deep learning code with this beginner-friendly guide. Break down complex scripts and get comfortable navigating AI projects step by step. #DeepLearning ...

A project is trying to cut the cost of making machine learning applications for Nvidia hardware, by developing on an Apple Silicon Mac and exporting it to CUDA. Machine learning is costly to enter, in ...