Categories: AI/ML News

Nanowire ‘brain’ network learns and remembers ‘on the fly’

Like a collection of ‘Pick Up Sticks’, this neural network has passed a critical step for developing machine intelligence. For the first time, a physical neural network has successfully been shown to learn and remember ‘on the fly’, in a way inspired by and similar to how the brain’s neurons work. The result opens a pathway for developing efficient and low-energy machine intelligence for more complex, real-world learning and memory tasks.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs

Most current vision-language-action (VLA) models—such as OpenVLA, π0, RT-2, and RDT-1B—are “monolithic.” This means they…

4 hours ago

Accessing OpenAI models on Amazon Bedrock from Australia with global cross-Region inference

Australian teams working with OpenAI models can now access the latest OpenAI models through Amazon…

4 hours ago

Getting started with Mantis, our open-source bug finding-and-fixing harness

AI models have clearly proven their ability to discover and exploit vulnerabilities without much, if…

4 hours ago

Meta Pushes Its New AI Agent on Employees—but Eases Off on Tokenmaxxing

The company is reducing pressure on workers to use artificial intelligence tools while encouraging them…

5 hours ago

Why did your robotaxi stop? New system helps predict self-driving car mistakes

Self-driving cars are often controlled by deep learning models that sometimes fail in unexpected situations.…

5 hours ago

Introducing Claude Fable 5.1 on AWS

Today, we’re excited to announce the availability of Claude Fable 5.1 on Amazon Bedrock and…

1 day ago