Henry Yuen is developing a new mathematical language to describe problems whose inputs and outputs aren’t ordinary numbers.
Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...
The Department for Science, Innovation and Technology (DSIT) is calling for input to shape the UK’s future AI compute ...
Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
By harnessing two natural timescales in resonator arrays, researchers created photonic chips that reliably produce multiple ...
By understanding automation as a continuum — from water wheels to factory assembly lines to modern LLMs — students develop frameworks for thinking about any tool that might emerge, rather than just ...
Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.
In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne ...
xAI has an initiative (using Tesla AI4 hardware) to create AI that fully emulates human computer work. It will work like ...
Artificial Intelligence isn't going away anytime soon. For member of MSU's AI club, that's reason to help students learn how to embrace AI, whether it's in their classes or their future jobs.
No body, no dopamine, no problem. Scientists have successfully coached lab-grown brain tissue to solve a classic robotics challenge, proving that the will to learn is hardwired into our neurons.
In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of ...
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