algorithms   76972

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The Tyranny of Metrics
Schemes of measured performance are deceptively attrac- tive because they often “prove” themselves by spotting the most egregious cases of error or neglect, but are then applied to all cases. Tools appropriate for discovering real misconduct become tools for measuring all performance. The initial find- ings of performance measurement may lead poor performers to improve, or to drop out of the market. But in many cases, the extension of standardized measurement may be of dimin- ishing utility, or even counterproductive—sliding from sen- sible solutions to metric madness. Above all, measurement may become counterproductive when it tries to measure the unmeasurable and quantify the unquantifiable.

Concrete interests of power, money, and status are at stake. Metric fixation leads to a diversion of resources away from frontline producers toward managers, administrators, and those who gather and manipulate data.
algorithms  metrics  technique 
yesterday by ayjay
[1810.00845] CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs
Fully Homomorphic Encryption (FHE) refers to a set of encryption schemes that allow computations to be applied directly on encrypted data without requiring a secret key. This enables novel application scenarios where a client can safely offload storage and computation to a third-party cloud provider without having to trust the software and the hardware vendors with the decryption keys. Recent advances in both FHE schemes and implementations have moved such applications from theoretical possibilities into the realm of practicalities.
This paper proposes a compact and well-reasoned interface called the Homomorphic Instruction Set Architecture (HISA) for developing FHE applications. Just as the hardware ISA interface enabled hardware advances to proceed independent of software advances in the compiler and language runtimes, HISA decouples compiler optimizations and runtimes for supporting FHE applications from advancements in the underlying FHE schemes.
This paper demonstrates the capabilities of HISA by building an end-to-end software stack for evaluating neural network models on encrypted data. Our stack includes an end-to-end compiler, runtime, and a set of optimizations. Our approach shows generated code, on a set of popular neural network architectures, is faster than hand-optimized implementations.
to-understand  machine-learning  algorithms  distributed-processing  seems-important  languages  neural-networks 
yesterday by Vaguery
Инструмент превращает наброски интерфейсов на бумаге в достаточно аккуратные макеты Sketch. Давно следил за альфа- и бета-версиями, отличное применение идеи Airbnb для широкого круга дизайнеров.
UX  sketching  tools  AI  algorithms  trends 
2 days ago by jvetrau

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