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Estimating

Estimating coastal water depth from space via satellite-derived bathymetry

The proposed satellite data-based model provided coastal depth estimations for three Korean coastal areas with unique characteristics: Cheonsuman (a), Hallim (b), and Samcheok (c). Credit: Journal of Applied Remote Sensing (2024). DOI: 10.1117/1.JRS.18.014522 Since ancient times, knowing the depth of coastal waters has been key to safe and successful navigation and to exploit the sea's resources. Today, bathymetry—the…

Estimating flows of forced migrants from war and crisis

ABSCIM framework and key results. Credit: Zakaria Mehrab, Srini Venkatramanan, Bryan Lewis, Henning Mortveit Researchers have built a model, using insights from social and behavioral theory, that estimates daily flows of refugees from conflict. Forced migration, in contrast to planned migration, is a sudden choice made in response to an unexpected event. The

A Guide on Estimating Long-Term Effects in A/B Tests

Addressing the complexity of identifying and measuring long-term effects in online experimentsPhoto by Isaac Smith on UnsplashImagine you’re an analyst at an online store. You and your team aim to understand how offering free delivery will affect the number of orders on the platform, so you decide to run an A/B test. The test group enjoys free delivery, while the control group sticks to the regular delivery fare. In the initial days of the experiment, you’ll observe more people completing orders after adding items to…

Estimating the Cost of Training LLMs

Discussing LLMs like ChatGPT, the underlying costs, and inference optimization approachesPhoto by PixabayIn the recent past, machine learning was considered a complex, niche technology that only a select few could comprehend. However, as ML applications become more powerful, the public’s interest has surged, leading to a vast amount of content surrounding Artificial Intelligence. The culmination of this happened in November 2022, when we saw ChatGPT, and continued in March 2023 with the release of GPT-4, when even the…

Estimating impact of data breaches on brands and defining a future-ready strategy

Thank you for joining us on "The cloud hub: From cloud chaos to clarity." Brands must safeguard themselves against potential threats and consider security a priority. Watch the discussion between industry leaders—Vishal Salvi from Infosys, Bill Mew from The Crisis Team, and Ameya Kapnadak from Interbrand—on the Infosys Brand Study, specifically concerning cybersecurity. Click here to continue. Thank you for joining us on "The cloud hub: From cloud chaos to clarity." Brands must safeguard themselves…

Causal Effects via DAGs. Two graphical criteria for estimating… | by Shawhin Talebi | Nov, 2022

Two graphical criteria for estimating causal effectsThis is the 4th article in a series on causal effects. In the last article of this series, we explored the question of identifiability. In other words, can the causal effect be evaluated from the given data? There we saw a systematic 3-step process to express any causal effect given a causal model where all variables are observed. The problem, however, becomes much more interesting when we have unmeasured confounders. In this article, I discuss two quick-and-easy…

Estimating Event-specific Counts in Streaming Data | by Arun Jagota | Oct, 2022

The simple and compelling CountMin SketchPhoto by luis arias on UnsplashImagine a stream of incoming symbols a, b, a, c, a, …. We’d like to know how many times a certain symbol has arrived.This problem has many uses. To calculate the number of times a certain query was made to Google, a certain video watched on YouTube, or a certain song purchased from iTunes. And many others.We can solve this problem using a hashmap whose keys are the distinct symbols seen in the stream thus far and whose values are their frequencies.…

Estimating Solar Panel Output with Open-Source Data | by Ang Li-Lian | Aug, 2022

A comprehensive guide for what it takes to estimate solar panel output using Python and QGISImage by Jack Price-Burns from Unsplash.To figure out how much solar energy a rooftop can produce, we need the following information:Roof slopeRoof azimuth (orientation towards the Sun)Number of solar panels a roof can holdShading factor (the percentage of light that is blocked from shadows)Solar irradiance (how much total sunlight the roof receives)The problem is that determining the first four variables requires a site visit…

Estimating uranium and thorium abundance with geoneutrinos

The KamLAND detector, above, can detect electron antineutrinos produced through the decay of uranium and thorium deep inside Earth when they collide with the atomic nuclei. Credit: Research Center for Neutrino Science, Tohoku University A planet's interior heat comes from two principal sources: leftover energy amassed from collisions between planetesimals during the accretion of the planet and the subsequent decay of…

Estimating impact and defining a future-ready cybersecurity strategy with brand risk calculator

Thank you for joining us on "The cloud hub: From cloud chaos to clarity." Watch Bill Mew, digital ethics campaigner and CEO of CrisisTeam.co.uk talk to Vishal Salvi, SVP & CISO at Infosys, and Ameya Kapnadak, chief growth officer and head of consulting at Interbrand India, about why brands need to implement a well-defined, evolving cybersecurity strategy to ensure continued brand trust—and how they can quantify the risk. Click here to continue. Thank you for joining us on "The cloud hub: From cloud chaos…