New Atlas

Ultra-efficient machine learning transistor cuts AI energy use by 99%

AI machine learning uses so much computing power and energy that it's typically done in the cloud. But a new microtransistor, 100X more efficient than the current tech, promises to bring new levels of ...
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 ...
Interesting Engineering on MSN

The three-atom trick: Scientists pack 1,400 ultra-thin transistors onto a single chip

A research team has fabricated a functional computer chip using molybdenum disulfide (MoS2), a ...
Tech Xplore

Ultra-thin MoS₂ computer packs 1,400 transistors onto one chip

The rapid advancement and diffusion of artificial intelligence (AI) systems, such as the machine learning models underpinning ...
Yahoo

New brain-like transistor goes 'beyond machine learning'

Scientists have designed a transistor that stores and processes information like the human brain and can perform cognitive tasks that most artificial intelligence (AI) systems today struggle with.
Tech Xplore on MSN

AI model extracts hidden semiconductor properties from simple transistor tests in under 1 millisecond

A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...
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 ...
Nature

Standardized quantum transistor block enables differentiable learning on gait dynamics

This paper is motivated by four research questions. RQ1: Can a standardized, two-qubit QT block implement a useful, transistor-like gating and amplification nonlinearity with stable gradients suitable ...
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 ...
Nature

Simulator acceleration and inverse design of fin field-effect transistors using machine learning

The simulation and design of electronic devices such as transistors is vital for the semiconductor industry. Conventionally, a device is intuitively designed and simulated using model equations, which ...
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 ...