Lifeboat Foundation

Center for natural and artificial intelligence.

Center for natural and artificial intelligence.

Tesla’s heavy investment in AI and autonomy, potential for full self-driving capability, and innovative business model have the potential to revolutionize multiple industries and generate massive revenue through software subscriptions and other ventures.

Questions to inspire discussion.

Continue reading “Revolutionizing Industries: TSLA Stock with Steven Mark Ryan” »

How can we truly know if AI is sentient? We do not yet fully understand the nature of human consciousness, so we cannot discount the possibility that today’s AI is indeed sentient — and that we are mistreating it to potentially grave consequences.

Center for natural and artificial intelligence.

DARPA just tested an autonomous tank that could help keep soldiers safe — and even more self-driving military vehicles are on the horizon. If autonomous vehicles prove capable enough for the battlefield, the tech could someday start finding its way over to civilian uses, too.

The challenge: Tanks have played an important role in the US military for more than 100 years, thanks to their tremendous firepower and armor, but every time the Army puts a soldier into a tank and sends them into combat, it’s putting their life at risk.

Continue reading “DARPA is testing this autonomous tank with glowing ‘eyes’” »

Tesla is revolutionizing the AI training compute power with the new Dojo super chips, which will be 40 times more powerful and will significantly advance artificial intelligence technology Questions to inspire discussion What is the new Dojo super chip? —The Dojo super chip is a new AI training compute power developed by Tesla, which is 40 times more powerful than current technology.

Innovation often arises out of serendipitous relationships or discoveries. Can AI do that?

Brains and neuromorphic systems learn with local learning rules in online-continual learning scenarios. Designing neural networks that learn effectively under these conditions is challenging. The authors introduce a neural network that implements an effective, principled approach to local, online-continual learning on associative memory tasks.