Live Science

New brain-like transistor goes 'beyond machine learning'

Scientists have previously only gotten 'synaptic transistors' to work under cryogenic conditions, but this is the first that can operate at room temperature — while outperforming today's best-in-class ...
Futurism

The Future of Deep-Learning—Nvidia Unveils Chip With 15 Billion Transistors

Nvidia made a big splash during its keynote at the GPUTech conference in San Jose, California, when CEO Jen-Hsun Huang announced the Tesla P100, a new chip with 15 billion transistors designed for ...
EurekAlert!

Bioinspired electrolyte‑gated organic synaptic transistors: From fundamental requirements to applications

Rapid development of artificial intelligence requires the implementation of hardware systems with bioinspired parallel ...
ExtremeTech

New transistor mimics human synapse to simulate learning

A new kind of transistor could be the missing piece of the artificial intelligence puzzle. Harvard researchers are working on transistors that mimic human neurons. Share on Facebook (opens in a new ...
EurekAlert!

Learning transistor mimics the brain

A new transistor based on organic materials has been developed by scientists at Linköping University. It has the ability to learn, and is equipped with both short-term and long-term memory. The work ...
Nanowerk

Graphene transistors turn nanoscale flaws into unclonable digital fingerprints

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...
VentureBeat

Nvidia creates a 15B-transistor chip for deep learning

Nvidia chief executive Jen-Hsun Huang announced that the company has created a new chip, the Tesla P100, with 15 billion transistors for deep-learning computing. It’s the biggest chip ever made, Huang ...
Electronic Design

A First: Synaptic Transistor Duplicates the Brain’s Learning Capability

Our brains have upwards of 86 billion neurons, connected by synapses that not only complete a myriad of logic circuits; they continuously adapt to stimuli, strengthening some connections while ...
Semiconductor Engineering

Asynchronously Parallel Optimization Method For Sizing Analog Transistors Using Deep Neural Network Learning

A new technical paper titled “APOSTLE: Asynchronously Parallel Optimization for Sizing Analog Transistors Using DNN Learning” was published by researchers at UT Austin and Analog Devices. “Analog ...
Nanowerk

Learning transistor mimics the brain

A normal transistor acts as a valve that amplifies or dampens the output signal, depending on the characteristics of the input signal. In the organic electrochemical transistor that the researchers ...
Science Daily

Learning transistor mimics the brain

A new transistor based on organic materials has been developed. It has the ability to learn, and is equipped with both short-term and long-term memory. The work is a major step on the way to creating ...