>
Creating the First Synthetic Human D.N.A From Scratch
Texas Ready for $10M Bitcoin Purchase After Governor Signs Bill for State Reserve
How do you feel about this use of AI
Big Tech Executives Welcomed as Army Colonels, New Government AI Project Leaked
xAI Grok 3.5 Renamed Grok 4 and Has Specialized Coding Model
AI goes full HAL: Blackmail, espionage, and murder to avoid shutdown
BREAKING UPDATE Neuralink and Optimus
1900 Scientists Say 'Climate Change Not Caused By CO2' – The Real Environment Movement...
New molecule could create stamp-sized drives with 100x more storage
DARPA fast tracks flight tests for new military drones
ChatGPT May Be Eroding Critical Thinking Skills, According to a New MIT Study
How China Won the Thorium Nuclear Energy Race
Sunlight-Powered Catalyst Supercharges Green Hydrogen Production by 800%
And to some, it might seem a little like replacing a computer with an abacus, but researchers at UCLA have high hopes for their quirky, shiny, speed-of-light artificial neural network.
Coined by Rina Dechter in 1986, Deep Learning is one of the fastest-growing methodologies in the machine learning community and is often used in face, speech and audio recognition, language processing, social network filtering and medical image analysis as well as addressing more specific tasks, such as solving inverse imaging problems.
Traditionally, deep learning systems are implemented on a computer to learn data representation and abstraction and perform tasks, on par with – or better than – the performance of humans. However the team led by Dr. Aydogan Ozcan, the Chancellor's Professor of electrical and computer engineering at UCLA, didn't use a traditional computer set-up, instead choosing to forgo all those energy-hungry electrons in favor of light waves. The result was its all-optical Diffractive Deep Neural Network (D2NN) architecture.