Search Results for: "artificial neural networks"

AI has the potential to learn like humans
Eveline van Doremaele. Photo: Bart van Overbeeke
A smart chip made from organic materials based on the human brain can interact with our bodies
A variety of common deep learning models benefit from Zeus’ ability to tune GPU power limits and the training batch size. When both parameters were tuned, the software achieved up to 75% energy reduction. Image credit: SymbioticLab, University of Michigan
Cut the carbon footprint of AI training by up to 75% without new hardware or infrastructure
Could babies offer a new direction to overcome limitations of machine learning?
Organic neuromorphic robots can get out of a maze using their human-like brains
Brain-inspired computers get a training algorithm that greatly boosts efficiency and complex problem-solving
A way to make what is called “reservoir computing” work between 33 and a million times faster
Could phase change materials help to save some of the trillions of gallons of water that power plants use for cooling?
A synapse-like phototransistor could eventually help computers process visual information more like the human brain
Self-learning algorithms require just seconds to interpret whole-body scans of mice improving analysis considerably
Brain-based computing takes a big step with graphene-based memory resistors
Fewer neurons equal more intelligence with new deep learning models
Could deep learning analyze neurological problems?
Speeding up computing by using light and bypassing Moore’s Law
A new organic-based transistor has the ability to learn, and is equipped with both short-term and long-term memory