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Key Concepts in AI Safety: Specification in Machine Learning (Tim G. J. Rudner, Helen Toner, CSET)

This paper is the fourth installment in a series on “AI safety,” an area of machine learning research that aims to identify causes of unintended behavior in machine learning systems and develop tools to ensure these systems work safely and reliably. The first paper in the series, “Key Concepts in AI Safety: An Overview,” outlined […]

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Quality in, quality out: how to get a machine learning platform humming (Roger Nolan, ITProPortal)

Machine Learning is often presented as the cutting edge of what we can currently achieve with technology. A lot of innovation and progress is coming from the fields of data science and machine learning, but a lot of the language around the topic is filled with jargon and is aimed at an expert audience. As […]

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Google and AWS harness the power of machine learning to predict floods and fires (Liam Tung, ZDNet)

Google and Amazon Web Services (AWS) have highlighted their respective work on machine-learning (ML) models that may help nations deal with environmental crises happening with increasing regularity across the world. The companies flagged up their efforts to tackle climate change effects such as floods and wildfires as the UN Climate Change Conference UK 2021 (COP26) wraps up […]

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Using machine learning to improve the reliability of wireless communication systems (François-Xavier Briol, Ayush Bharti, The Alan Turing Institute)

A collaboration involving the Turing has developed a new method for improving wireless technologies such as Wi-Fi Using machine learning to improve the reliability of wireless communication systems | The Alan Turing Institute

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TechInnovation – Ferrari sceglie il cloud di Amazon: l’innovazione “motore” del new automotive (L.O., CORCOM)

Cloud, machine learning e Intelligenza artificiale. Fa centro su tecnologie di nuova generazione l’accordo tra Amazon Web Services e Ferrari, che punta a ottimizzare la progettazione e i test di auto stradali, competizioni GT, Ferrari Challenge e il team della Scuderia Ferrari Formula 1. Nell’ambito della partnership il logo di Aws apparirà sulle auto della Scuderia […]

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TechInnovation – Creata un’interfaccia cerebrale che prevede e anticipa il canto degli uccelli (Gianluca Riccio, Futuro Prossimo)

I ricercatori dell’Università della California di San Diego hanno recentemente costruito un sistema di machine learning che prevede ciò che gli uccelli stanno per cantare. Se non ci trovate grandi possibilità pratiche, inizio col dirvi che una sintesi vocale predittiva in tempo reale per le protesi vocali sarebbe già una cosa fantastica. Ma le implicazioni […]

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(Artificial Intelligence/Machine Learning) An AI saw a cropped photo of AOC. It autocompleted her wearing a bikini (MIT Technology Review)

Karen Hao https://www.technologyreview.com/2021/01/29/1017065/ai-image-generation-is-racist-sexist/?truid=&utm_source=the_download&utm_medium=email&utm_campaign=the_download.unpaid.engagement&utm_term=&utm_content=02-01-2021&mc_cid=fa03284a78&mc_eid=e4d30af98f

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MACHINE LEARNING CYBERSECURITY – Hacking AI. A Primer for Policymakers on Machine Learning Cybersecurity (Andrew Lohn, CSET)

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MACROECONOMIC POLICYMAKING/GOOGLE TRENDS/MACHINE LEARNING/OECD – Tracking GDP using Google Trends and machine learning: A new OECD model (Nicolas Woloszko, VOXEU)

A pre-requisite for good macroeconomic policymaking is timely information on the current state of the economy, particularly when economic activity is changing rapidly. Given that GDP figures are usually only available on a quarterly basis, the current crisis has prompted a search for alternative high‑frequency indicators of economic activity. This column presents evidence from a […]

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MACHINE LEARNING/DATA – Monte Carlo launches Data Observability Platform, aims to solve for bad data (Larry Dignan, ZD Net)

Monte Carlo wants to do for data what application performance management did for enterprise software uptime. The startup launched the Monte Carlo Data Observability Platform, which aims prevent bad data pipelines. Monte Carlo CEO Barr Moses likened data as the new software for companies. “What New Relic does for microservices, Monte Carlo will do for […]