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Similarity-Based Image Search for Visual Art

June 1, 2022 by Catherine Yeo

image search

Similarity-based image search, also known as content-based image retrieval, has historically been a challenging computer vision task. This problem is especially difficult for visual art, because it is less obvious as to what a metric of “similarity” should be defined as and who should set that standard for art.For example, when I upload a photo of a wall mural … [Read more...] about Similarity-Based Image Search for Visual Art

Unconstrained Chatbots Condone Self-Harm

May 31, 2022 by Iulia Turc

Unconstrained Chatbots Condone Self-Harm

WARNING. This post contains references to self-harm and suicide. It includes conversations between a human and DialoGPT, with the sole purpose of surfacing the danger of uncontrolled AI. If you or a loved one are dealing or have dealt with suicidal thoughts, I suggest skipping this article.In the context of an accelerating mental health crisis, Natural Language … [Read more...] about Unconstrained Chatbots Condone Self-Harm

Google’s AutoML: Cutting Through The Hype

January 10, 2019 by Rachel Thomas

Google Building in Mountain View, California, USA

This is part 3 in a series. Part 1 is here and Part 2 is here.To announce Google’s AutoML, Google CEO Sundar Pichai wrote, “Today, designing neural nets is extremely time intensive, and requires an expertise that limits its use to a smaller community of scientists and engineers. That’s why we’ve created an approach called AutoML, showing that it’s possible for neural nets … [Read more...] about Google’s AutoML: Cutting Through The Hype

What Do Machine Learning Practitioners Actually Do?

October 20, 2018 by Rachel Thomas

This post is part 1 of a series. Part 2 is an opinionated introduction to AutoML and neural architecture search, and Part 3 looks at Google’s AutoML in particular.There are frequent media headlines about both the scarcity of machine learning talent (see here, here, and here) and about the promises of companies claiming their products automate machine learning and eliminate … [Read more...] about What Do Machine Learning Practitioners Actually Do?

4 Approaches To Natural Language Processing & Understanding

March 21, 2017 by Mariya Yao

4 Technical Approaches To NLU NLP Natural Language Processing Natural Language Understanding

In 1971, Terry Winograd wrote the SHRDLU program while completing his PhD at MIT. SHRDLU features a world of toy blocks where the computer translates human commands into physical actions, such as “move the red pyramid next to the blue cube.” To succeed in such tasks, the computer must build up semantic knowledge iteratively, a process Winograd discovered was brittle and … [Read more...] about 4 Approaches To Natural Language Processing & Understanding

Understanding The Limits Of Deep Learning

March 19, 2017 by Mariya Yao

Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. New A.I. startups pop up every day and claim to solve all your personal and business problems with machine learning.Ordinary objects like juicers and wifi routers suddenly advertise … [Read more...] about Understanding The Limits Of Deep Learning

How 26 Top Marketing Executives Use Artificial Intelligence

March 19, 2017 by Adelyn Zhou

How 26 Top Marketing Experts Executives Entrepreneurs Use Artificial Intelligence

Artificial intelligence is rapidly transforming all digital industries and marketing is no exception. We asked 26 top marketing executives and entrepreneurs to share how they’ve leveraged A.I. and machine learning technologies to improve their products, simplify their customers’ lives, and address the top pain points in the industry.1. Eric Stahl, SVP at … [Read more...] about How 26 Top Marketing Executives Use Artificial Intelligence

How AI Can Solve The Top 3 Pain Points In Marketing

March 17, 2017 by Mariya Yao

Marketing AI Technology

3,874. That’s how many companies are featured on Scott Brinker’s behemoth 2016 Marketing Technology Landscape Supergraphic, which drives home the challenge of navigating the marketing industry."Marketing has the unique challenge of not having a typical stack or process. If you look into any Fortune 500 company, they will have hundreds of products that they are … [Read more...] about How AI Can Solve The Top 3 Pain Points In Marketing

This Algorithm Predicts If You’ll Vote Democrat or Republican

February 26, 2017 by Mariya Yao

As demonstrated from the polling failures from our last elections, human-driven statistical analysis is prone to bias, overconfidence, and errors. Perhaps computer algorithms can do a better job of accurately predicting political bias?One unique approach, from renowned computer vision expert Fei Fei Li, applies deep learning to Google Street View data and … [Read more...] about This Algorithm Predicts If You’ll Vote Democrat or Republican

What Salesforce Einstein Teaches Us About Enterprise AI 

February 19, 2017 by Mariya Yao

Salesforce Einstein Richard Socher Interview

Every business has customers. Every customer needs care. That’s why CRM is so critical to enterprises, but between incomplete data and clunky workflows, sales and marketing operations at most companies are less-than-optimal.At the same time, companies who aren’t Google or Facebook don’t have the billion dollar R&D budgets to build out A.I. teams to take away our … [Read more...] about What Salesforce Einstein Teaches Us About Enterprise AI 

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