Microchips that mimic the human brain could make AI far more energy efficient

Artificial intelligence makes video games more realistic and helps your phone recognize your voice—but the power-hungry programs slurp up energy big time. However, the next generation of AI may be 1000 times more energy efficient, thanks to computer chips that work like the human brain. A new study shows such neuromorphic chips can run AI algorithms using just a fraction of the energy consumed by ordinary chips.

A common component of such networks is a software unit called long short-term memory , which maintains a memory of one element as things change over time. A vertical edge in an image, for example, needs to be retained in memory as the software determines whether it represents a part of the numeral “4” or the door of a car. Typical AI systems must keep track of hundreds of LSTM elements at once.

The setup in a neuromorphic chip handles memory and computation together, making it much more energy efficient: Our brains only require 20 watts of power, about the same as an energy-efficient light bulb. But to make use of this architecture, computer scientists need to reinvent how they carry out functions such as LSTM.

We have a podcast episode about this field with SergeyAShuvaev coming out next week!

I dont think deliberately maing us the 2nd most intelligent entity on this planet is a gooa idea. Heres the prob. Polticians dont listen, scientists listen but dont know when to stop. Feels like im taking crazy pills

We are DOOMED!

-Quantum Neuromorphic chips - 10 years -Quantum Biological Neurons - 14 years -Interface between Quantum Silicon Neurons and Quantum Biological Neurons - 18-20 years Gundams

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