Categories: AI/ML News

Animal brain inspired AI game changer for autonomous robots

A team of researchers has developed a drone that flies autonomously using neuromorphic image processing and control based on the workings of animal brains. Animal brains use less data and energy compared to current deep neural networks running on GPUs (graphic chips). Neuromorphic processors are therefore very suitable for small drones because they don’t need heavy and large hardware and batteries. The results are extraordinary: during flight the drone’s deep neural network processes data up to 64 times faster and consumes three times less energy than when running on a GPU. Further developments of this technology may enable the leap for drones to become as small, agile, and smart as flying insects or birds.
AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content

Recent Posts

stay away from higgsfield ai. total predatory bs with their refunds.

edit/fyi: i originally posted this on their official sub, but they literally locked the thread…

7 days ago

Build Semantic Search with LLM Embeddings

Traditional search engines have historically relied on keyword search.

7 days ago

Optimizing Recommendation Systems with JDK’s Vector API

By Harshad SaneRanker is one of the largest and most complex services at Netflix. Among many…

7 days ago

Building specialized AI without sacrificing intelligence: Nova Forge data mixing in action

Large language models (LLMs) perform well on general tasks but struggle with specialized work that…

7 days ago

Designing private network connectivity for RAG-capable gen AI apps

The flexibility of Google Cloud allows enterprises to build secure and reliable architecture for their…

7 days ago

What Is That Mysterious Metallic Device US Chief Design Officer Joe Gebbia Is Using?

Gebbia was reportedly spotted at a San Francisco coffee shop using an unidentified pair of…

7 days ago