New hardware offers faster computation for artificial intelligence ...
网页2022年7月28日 · MIT researchers created protonic programmable resistors — building blocks of analog deep learning systems — that can process data 1 million times faster than synapses in the human brain. These ultrafast, low-energy resistors could enable analog deep learning systems that can train new and more …
New analog AI chip design uses much less power for AI tasks
网页2023年8月23日 · In a paper published in Nature today, 1 researchers from IBM labs around the world presented their prototype analog AI chip for energy-efficient speech recognition and transcription. Their design was utilized in two AI inference experiments, and in both cases, the analog chips performed these tasks just as reliably as comparable all-digital ...
Analog Computing for AI: It May Make Us Re-Think the Future - Techopedia
网页2023年11月15日 · Analog AI offers a promising solution to the limitations of traditional digital computing in the AI era. Continuous data processing, energy efficiency, reduced data bottlenecks, and natural parallelism are vital to enhancing AI performance while reducing environmental impact.
The hardware behind analog AI - IBM Research
网页2021年11月20日 · The IBM Research AI Hardware Center is working on hardware and systems to scale AI workflows as efficiently as possible. Our chip, dubbed Fusion, uses the storage capability and physical attributes of phase-change memory (PCM) devices to more efficiently implement an artificial neural network.
An energy-efficient analog chip for AI inference - IBM Research
网页2023年8月10日 · IBM Research has been investigating ways to reinvent the way that AI is computed. Analog in-memory computing, or simply analog AI, is a promising approach to address the challenge by borrowing key features of how neural networks run in …
An analog-AI chip for energy-efficient speech recognition and ...
网页2023年8月23日 · Here we present an analog-AI chip that combines 35 million phase-change memory devices across 34 tiles, massively parallel inter-tile communication and analog, low-power peripheral circuitry...
Analog Optical Computing for Artificial Intelligence
网页2022年3月1日 · In this review, we introduce the latest developments of optical computing for different AI models, including feedforward neural networks, reservoir computing, and spiking neural networks (SNNs). Recent progress in integrated photonic devices, combined with the rise of AI, provides a great opportunity for the renaissance of …
Analog chip paves the way for sustainable AI - Nature
网页2023年8月23日 · As the resources required by artificial intelligence increase unsustainably, an analog design provides an energy-efficient alternative to digital computer chips — and one that is ideally...
Breaking the scaling limits of analog computing - MIT News
网页2022年11月29日 · An analog optical neural network could perform the same tasks as a digital one, such as image classification or speech recognition, but because computations are performed using light instead of electrical signals, optical neural networks can run many times faster while consuming less energy.
The Femtojoule Promise of Analog AI - IEEE Spectrum
网页2021年11月20日 · The most basic computation in an artificial neural network is called multiply and accumulate. The output of artificial neurons [left, yellow] are multiplied by the weight values connecting them to the next neuron [center, light blue]. That neuron sums its inputs and applies an output function.