USA Has Highest Number of CCTV Cameras per Person in the World

According to a recent report released by PreciseSecurity.com, the USA has the highest number of CCTV cameras per person in the world.
This is despite China having four times as many CCTV cameras in total compared to the USA.
CCTV Cameras Expand All Over The World
Data shows China is a leading country in terms of surveillance.

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Marketing Automation is Used to Its Full Capacity by Only 2% of B2B Marketers

Communigator has collaborated with Smart Insights to bring us their recent survey results in relation to Marketing Automation. For both B2B and B2C companies, Marketing Automation is a valuable tool. These survey results show how applications and attitudes have changed since a similar study from 2016.
1 in 8 businesses in 2019 is not using Marketing Automation, compared to 18% in 2016.

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5 Ways Visual Search Will Change the Way You Market

Hubspot’s recent List of Marketing Statistics for 2019 identified an unmistakable trend — the importance of visual content on social media.
One of the highlighted studies found that the average person has the ability to recall 65% of the visual content they see almost three days later.

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Computer Vision and Visual SLAM vs. AI Agents

With all the recent advancements in end-to-end deep learning, it is now possible to train AI agents to perform many different tasks (some in simulation and some in the real-world). End-to-end learning allows one to replace a multi-component, hand-engineered system with a single learning network that can process raw sensor data and output actions for the AI to take in the physical world.

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Document worth reading: “Adversarial Examples in Modern Machine Learning: A Review”

Recent research has found that many families of machine learning models are vulnerable to adversarial examples: inputs that are specifically designed to cause the target model to produce erroneous outputs. In this survey, we focus on machine learning models in the visual domain, where methods for generating and detecting such examples have been most extensively studied.

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Software patents are evil, but BSD+Patents is probably not the solution

TL;DR: I discuss my perspective in the recent BSD+Patents episode with
Facebook Open Source.
Patents and Open Source
Disclaimer: I am not a lawyer
Many open source software (OSS) projects led by industry giants use the Apache
License 2.0 (henceforth the ASL2.0), compared with the MIT or BSD licenses
which also enjoy popularity amongst many other OSS projects.

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From data to insights: Waste statistics

Environmental protection has always been a topic close to my heart as I’m a nature lover. In the recent years, I could feel the effects of climate change more and more; Singapore has already felt the effects of extreme weather, from recording the warmest year on record in 2017, to a cold spell where temperatures dropped to 21 degrees Celsius earlier in January 2017.

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The Netflix Data War

A recent article in the Wall Street Journal, “At Netflix, Who Wins When It’s Hollywood vs. the Algorithm?” by Shalini Ramachandran and Joe Flint details some of the internal debates within Netflix between the Los Angeles-based content team, which is in charge of developing and marketing new content for the streaming service, and the data team.

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Gender and verbs across 100,000 stories: a tidy analysis

Previously in this series
Examining the arc of 100,000 stories
I was fascinated by my colleague Julia Silge’s recent blog post on what verbs tend to occur after “he” or “she” in several novels, and what they might imply about gender roles within fictional work. This made me wonder what trends could be found across a larger dataset of stories.

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DeepSets: Modeling Permutation Invariance

###### guest post by [Fabian Fuchs](https://twitter.com/FabianFuchsML), [Ed Wagstaff](https://github.com/edwag), and [Martin Engelcke](https://twitter.com/martinengelcke)
One of my favourite recent innovations in neural network architectures is Deep Sets.

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Fascinating Developments in the Theory of Randomness

I present here some innovative results from my most recent research on stochastic processes. chaos modeling, and dynamical systems, with applications to Fintech, cryptography, number theory, and random number generators. While covering advanced topics, this article is accessible to professionals with limited knowledge in statistical or mathematical theory.

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Deep learning for cancer research

A recent interesting news from Stanford regarding identification of skin cancer using deep leaning for images.A different project featured by NVIDIA is using deep learning for breast cancer research, where they claim that the error went down 85%.Unrelated, I heard today about Grail who raised 100M$ for cancer detection in blood tests.

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Values-Based Leadership from President George H.W. Bush

With the recent passing of President George H.W. Bush, a letter surfaced, which was sent from President Bush to the CEO of IBM, Sam Palmisano, a friend of the Bush family. I found it to be an excellent summary of how a leader should be guided by values and a great reminder of the humility and inclusiveness needed in a leader, during good times and bad. It is good advice for everyone.

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Artificial intelligence and machine learning adoption in European enterprise

How companies in Europe are preparing for and adopting AI and ML technologies.In a recent survey, we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources.

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How companies are building sustainable AI and ML initiatives

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts.In 2017, we published “How Companies Are Putting AI to Work Through Deep Learning,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning.

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Hyper Networks | 大トロ

In this post, I will talk about our recent paper called [1609.09106] HyperNetworks. I worked on this paper as a Google Brain Resident – a great research program where we can work on machine learning research for a whole year, with a salary and benefits! The Brain team is now accepting applications for the 2017 program: see g.co/brainresidency.

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