Numenta has launched a new podcast series called Numenta On Intelligence-a monthly podcast about how intelligence works in the brain, how to implement it in non-biological systems and how to think about the implications. VP of Marketing Christy Maver describes the new podcast and how to subscribe to it in this blog post.
After AWS announced its Random Cut Forest algorithm (RCF) for anomaly detection, we were curious to see how it would score on the Numenta Anomaly Benchmark (NAB), a benchmark we designed to test anomaly detection algorithms. We share the results in this blog and ask one of our engineers to walk us through the process.
The discovery of grid cells won the Nobel Prize in 2014, but do you know how they work? Working together in populations, grid cells create a cognitive map of space. Each cell responds to certain areas of space. Groups of grid cells called modules have the same projection properties onto space. Many grid cell modules working together can map a virtually infinite amount of space.
In 2016, Numenta co-founders Jeff Hawkins and Donna Dubinsky wrote a blog about the three major approaches to building machine intelligence: Classic AI, Simple Neural Networks, and Biological Neural Networks. This piece revisits each one and looks at the machine intelligence landscape today. Discover the state of the art, compare and contrast approaches, and understand fundamental limitations. Read why brain theory will be the future of machine intelligence.
Scott Purdy and Subutai Ahmad recap Numenta’s Cosyne 2018 experience and share the posters and talks they found interesting. This Cosyne, we presented two posters and a workshop, which led to meetings and several in-depth discussions with other neuroscientists. It was a busy, but very rewarding week!