1000X More Efficient Neural Networks: Building an Artificial Brain With 86 Billion Physical (but Not Biological) Neurons
What if in our attempt to build artificial intelligence we don’t simulate neurons in code and mimic neural networks in Python, but instead build actual physical neurons connected by physical synapses in ways very similar to our own biological brains? That’s precisely what UF startup Rain Neuromorphics, is trying to do: build a non-biological yet very human-style artificial brain.
Chip Designer Mimicking Brain, Backed by Sam Altman, Gets $25 M Funding
Rain Neuromorphics Inc., a UF startup designing chips that mimic the way the brain works and aims to serve companies using artificial intelligence (AI) algorithms, said it raised $25 million.
Rain Neuromorphics Tapes Out Demo Chip for Analog AI
UF startup and UF Innovate | Accelerate graduate Rain Neuromorphics, which incubated at The Hub, has taped out a demonstration chip for its brain-inspired analog architecture that employs a 3D array of randomly-connected memristors to compute neural network training and inference at extremely low power.
UF Startup and Academics Find Path to Powerful Analog AI
Engineers have been chasing a form of artificial intelligence (AI) that could drastically lower the energy required to do typical AI things like recognize words and images. This analog form of machine learning does one of the key mathematical operations of neural networks using the physics of a circuit instead of digital logic. But one […]