Neuromorphic AI is developing spiking Neural Networks. Spiking neural networks can run different algorithms than neural networks. They have temporal properties and features.
It requires less data and less energy than regular neural networks. Energy can drop 100 to 1000 times.
Spiking neural networks thrives where it responds to real-world inputs in real time settings.
It separates compute and memory.
Intel Labs’ second-generation neuromorphic research chip, codenamed Loihi 2, and Lava, an open-source software framework, will drive innovation and adoption of neuromorphic computing solutions.
Up to 10x faster processing capability
Up to 60x more inter-chip bandwidth
Up to 1 million neurons with 15x greater resource density
3D Scalable with native Ethernet support
A new, open-source software framework called Lava
Fully programmable neuron models with graded spikes
Enhanced learning and adaptation capabilities
Intel now has Kapoho Point. It is a compact development board for neuromorphic computing that features eight Loihi 2 chips.
Kapoho Point can represent “up to a million neurons” and “up to a billion synapses”. It can solve optimization problems (an area of particular strength for neuromorphic computing) with up to 8 million variables. It is up to 1000× better energy efficiency than a state-of-the-art CPU solver.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
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