Scientists are building experimental computers from living human brain cells and testing how they learn and adapt.

From large language models to whole brain emulation, two rival visions are shaping the next era of artificial intelligence.

Not too long ago, I had an automotive incident that reminded me just how diverse and incredibly useful my particular set of ...

For the past year, Peter Stapleton, a Solana Beach 17-year-old, has been leading a group of local women in learning computers ...

Quilter's AI designed a working 843-component Linux computer in 38 hours—a task that typically takes engineers 11 weeks. Here's how they did it.

Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...

Self-driving vehicles are certainly convenient. However, logistically, they constantly face the computational challenge of processing satellite imagery to identify roads before calculating efficient ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

ChatGPT launched less than three years ago. According to computer science professors, their field hasn’t been the same since. The grade weights of problem sets in at least two courses have dropped to ...

Most companies are racing to implement AI, but the key to productivity lies in tapping your Absolute Intelligence — our own internal potential and the knowledge to tap into it. Over-reliance on AI can ...

Brain-Computer Interfaces (BCIs) are cutting-edge assistive technology that offer hope to people with disabilities who have lost the ability to speak or move due to various causes such as ...