SpiNNaker’s spiking neural network mimics the human brain, and could fuel breakthroughs in robotics and health.
Historically, the difficulty in making computers that could mimic the brain largely comes down to connectivity. Neurons — the nerve fibres that travel throughout the body and largely terminate in the brain — each have thousands of inputs and thousands of outputs. Computing systems struggle with anything on a similar scale.
Currently, it models one percent of the human brain, so a SpiNNaker system that could give a robot human-level cognition would require something of an engineering miracle.
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Data scientists make a lot of comparisons between the network of neurons in our brain and the way big data search operates. We tend to think that’s a pretty good comparison. So, when we discovered someone came up with a way to build a neural network from scratch, the armchair brain surgeon in us couldn’t resist. We learned more from a recent Toward Data Science piece, “How to Build Your Own Neural Network from Scratch in Python.”
What’s with Amazon in the space data game? We learned about “Amazon’s Plan to Profit from Space Data” from the Daily Herald. Here’s the plan: “Rather than build its own satellite dishes and ground stations, the company has brokered an exclusive “multiyear strategic business agreement” with Bethesda-based defense contractor Lockheed Martin, which manufactures and operates satellites for the U.S. military.” Useful for policeware and intelware use cases, don’t you think? Nah.
How much money does Amazon’s Prime video generate? Variety states that it is $1.7 billion. I thought Prime was for shipping. What about the data those viewing habits spin out? What happens if those data are cross matched to book browsing, purchase history, and method of payment? Grab some popcorn and kick back. Relax. It’s Amazon.