Future Computing Hardware for AI

Welser, J.J.; Pitera, Jed W.; Goldberg, C.

doi:10.1109/iedm.2018.8614482

Cited by 30 publications

(20 citation statements)

References 15 publications

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“…The pace of AI research has been predicated, not just on innovative algorithms (the basics are not too dissimilar to those published in the 1980s), but also on our ability to generate, access and store massive amounts of data, and on advances in graphics processing architectures and parallel hardware to process these massive amounts of data. New computational solutions such as quantum computing, will likely play an increasing role in this respect (Welser et al 2018).…”

Section: The Future Of Ai Technologiesmentioning

confidence: 99%

Artificial intelligence in the creative industries: a review

2021

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This paper reviews the current state of the art in artificial intelligence (AI) technologies and applications in the context of the creative industries. A brief background of AI, and specifically machine learning (ML) algorithms, is provided including convolutional neural networks (CNNs), generative adversarial networks (GANs), recurrent neural networks (RNNs) and deep Reinforcement Learning (DRL). We categorize creative applications into five groups, related to how AI technologies are used: (i) content creation, (ii) information analysis, (iii) content enhancement and post production workflows, (iv) information extraction and enhancement, and (v) data compression. We critically examine the successes and limitations of this rapidly advancing technology in each of these areas. We further differentiate between the use of AI as a creative tool and its potential as a creator in its own right. We foresee that, in the near future, ML-based AI will be adopted widely as a tool or collaborative assistant for creativity. In contrast, we observe that the successes of ML in domains with fewer constraints, where AI is the ‘creator’, remain modest. The potential of AI (or its developers) to win awards for its original creations in competition with human creatives is also limited, based on contemporary technologies. We therefore conclude that, in the context of creative industries, maximum benefit from AI will be derived where its focus is human-centric—where it is designed to augment, rather than replace, human creativity.

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Section: The Future Of Ai Technologiesmentioning

confidence: 99%

Artificial intelligence in the creative industries: a review

2021

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“…They can be used as both a memory and a switch and, moreover, show promise for bio-inspired neuromorphic computing which can be extremely beneficial for AI (artificial intelligence) applications. AI is one of the major trends in current information technology and its importance will grow quickly in the future [61]. Today's computers, which are based on the von Neumann architecture and on Boolean logic operations, are far from ideal for AI applications.…”

Section: New Prospects and Cautious Optimismmentioning

confidence: 99%

Six Decades of Research on 2D Materials: Progress, Dead Ends, and New Horizons

Schwierz

Ziegler

2022

IEEE J. Electron Devices Soc.

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“…Quantum light (e.g., single-photon) sources [216] and detectors integrated with nanophotonic components provide a basis for developing all-optical processors [43], secure fast communications, and metrology. These features will accelerate the development of EC devices and can play a key role in the emerging quantum networks edge-nodes, or AI hardware platforms [316].…”

Section: Nanosystems and Nanoscience: From Edge Sensing To Edge Comentioning

confidence: 99%

Nanosystems, Edge Computing, and the Next Generation Computing Systems

Passian

Imam

2019

Sensors

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It is widely recognized that nanoscience and nanotechnology and their subfields, such as nanophotonics, nanoelectronics, and nanomechanics, have had a tremendous impact on recent advances in sensing, imaging, and communication, with notable developments, including novel transistors and processor architectures. For example, in addition to being supremely fast, optical and photonic components and devices are capable of operating across multiple orders of magnitude length, power, and spectral scales, encompassing the range from macroscopic device sizes and kW energies to atomic domains and single-photon energies. The extreme versatility of the associated electromagnetic phenomena and applications, both classical and quantum, are therefore highly appealing to the rapidly evolving computing and communication realms, where innovations in both hardware and software are necessary to meet the growing speed and memory requirements. Development of all-optical components, photonic chips, interconnects, and processors will bring the speed of light, photon coherence properties, field confinement and enhancement, information-carrying capacity, and the broad spectrum of light into the high-performance computing, the internet of things, and industries related to cloud, fog, and recently edge computing. Conversely, owing to their extraordinary properties, 0D, 1D, and 2D materials are being explored as a physical basis for the next generation of logic components and processors. Carbon nanotubes, for example, have been recently used to create a new processor beyond proof of principle. These developments, in conjunction with neuromorphic and quantum computing, are envisioned to maintain the growth of computing power beyond the projected plateau for silicon technology. We survey the qualitative figures of merit of technologies of current interest for the next generation computing with an emphasis on edge computing.

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Future Computing Hardware for AI

Cited by 30 publications

References 15 publications

Artificial intelligence in the creative industries: a review

Artificial intelligence in the creative industries: a review

Six Decades of Research on 2D Materials: Progress, Dead Ends, and New Horizons

Nanosystems, Edge Computing, and the Next Generation Computing Systems

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