logo
welcome
Phys Org

Phys Org

Researchers develop energy-efficient optical neural networks

Phys Org
Summary
Nutrition label

77% Informative

EPFL researchers have published a programmable framework that overcomes a key computational bottleneck of optics-based artificial intelligence systems.

In a series of image classification experiments, they used scattered light from a low-power laser to perform accurate, scalable computations using a fraction of the energy of electronics.

The method is up to 1,000 times more power-efficient than state-of-the-art deep digital networks, says Demetri Psaltis .

VR Score

86

Informative language

93

Neutral language

25

Article tone

formal

Language

English

Language complexity

74

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

long-living

External references

no external sources

Source diversity

no sources

Affiliate links

no affiliate links