The saying goes that if you want something done right, you should do it yourself. For Nir Shavit, that idea played out in his life’s work. Nir has spent decades in the science and technology fields, but there was an area he thought needed to be explored that wasn’t being looked into — at least not the way he thought it should be. Nir co-founded Neural Magic to explore the world of neural networks and mapping technology, but in a way that hadn’t been done before. On this episode of Future of Tech, Nir explains how they are enabling neural networks to run on commodity CPUs – at GPU speeds, what the current state of neural mapping looks like, and why machine learning could unlock the answers to some of the biggest challenges we face today.

3 Takeaways:

• Mapping the brain is still in its infancy, and there is a long way to go before there is a full map of the neurons and synapses that work within a human brain
• There are countless “human-like” tasks that can be transferred to robots using technology such as machine learning
• In order to move forward, you have to look back at the things you’ve already done and remember why you did them, how, and what lessons can be learned from the process

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