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Evaluation Gaps in Machine Learning Practice
2022 ACM Conference on Fairness Accountability and Transparency, 2022 Forming a reliable judgement of a machine learning (ML) model's appropriateness for an application ecosystem is critical for its responsible use, and requires considering a broad range of factors including harms, benefits, and responsibilities. In practice, however, evaluations of ML models frequently focus on only a narrow range of decontextualized ...
Ben Hutchinson +4 more
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The risks of autonomous machines: from responsibility gaps to control gaps
Synthese, 2023 AbstractResponsibility gaps concern the attribution of blame for harms caused by autonomous machines. The worry has been that, because they are artificial agents, it is impossible to attribute blame, even though doing so would be appropriate given the harms they cause. We argue that there are no responsibility gaps. The harms can be blameless.
Frank Hindriks, Herman Veluwenkamp
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Air-Gap Convection in Rotating Electrical Machines [PDF]
IEEE Transactions on Industrial Electronics, 2012 This paper reviews the convective heat transfer within the air gap of both cylindrical and disk geometry rotating electrical machines, including worked examples relevant to fractional horsepower electrical machines. Thermal analysis of electrical machines is important because torque density is limited by maximum temperature.
David A. Howey +2 more
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Machine Learning Model Sizes and the Parameter Gap
CoRR, 2022 We study trends in model size of notable machine learning systems over time using a curated dataset. From 1950 to 2018, model size in language models increased steadily by seven orders of magnitude. The trend then accelerated, with model size increasing by another five orders of magnitude in just 4 years from 2018 to 2022.
Pablo Villalobos +5 more
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Bridging the Gap Between Image Coding for Machines and Humans
2022 IEEE International Conference on Image Processing (ICIP), 2022 Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy. In many use cases, such as surveillance, it is also important that the visual quality is not drastically deteriorated by the compression process.
Nam Le 0003 +7 more
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Micromachines, 2020 Wire electrochemical micromachining (WECMM) technology is regarded a promising method to fabricate high aspect ratio microstructures on hard-to-machining materials, however, the by-product accumulation in the machining gap limits its application. In this
Siying Ling +4 more
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Micromachines, 2021 Electrical parameters of the power supply are significant factors affecting the accuracy and stability of the electrochemical machining (ECM). However, the electric field, flow velocity and temperature in the machining area are difficult to measure ...
Zhaolong Li, Bingren Cao, Ye Dai
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Air-gap convection in a switched reluctance machine [PDF]
2015 Tenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 2015 Switched reluctance machines (SRMs) have recently become popular in the automotive market as they are a good alternative to the permanent magnet machines commonly employed for an electric powertrain. Lumped parameter thermal networks are usually used for thermal analysis of motors due to their low computational cost and relatively accurate results.
Romanazzi, P, Howey, D
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Micromachines, 2019 In tube electrode high-speed electrochemical discharge machining (TSECDM), mixed products are constantly produced in the narrow machining gap by simultaneous discharge erosion and electrochemical dissolution.
Yan Zhang +5 more
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Dynamic Observer Modeling and Minimum-Variance Self-Tuning Control of EDM Interelectrode Gap
Applied Sciences, 2018 The electric discharge machining (EDM) interelectrode gap directly determines the discharge state, which affects the machining efficiency, workpiece surface quality, and the tool wear rate.
Bin Xin +3 more
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