Media
Singularity: How governments can halt the rise of unfriendly, unstoppable super-AI
The invention of an artificial super-intelligence has been a central theme in science fiction since at least the 19th century. From E.M. Forster's short story The Machine Stops (1909) to the recent HBO television series Westworld, writers have tended to portray this possibility as an unmitigated disaster. But this issue is no longer one of fiction. Prominent contemporary scientists and engineers are now also worried that super-AI could one day surpass human intelligence (an event known as the "singularity") and become humanity's "worst mistake." Current trends suggest we are set to enter an international arms race for such a technology.
The future of food: Why farming is moving indoors
A car park opposite the infamous New York City housing estate where rapper Jay-Z grew up seems an unlikely place for an agricultural revolution. Ten shipping containers dominate a corner of the Brooklyn parking area, each full of climate control tech, growing herbs that are distributed to local stores on bicycles. This is urban farming at its most literal. The containers are owned by Square Roots, part of America's fast-expanding vertical farming industry, a sector run by many tech entrepreneurs who believe food production is ripe for disruption. The world's best basil reputedly comes from Genoa, Italy. Square Roots grows Genovese seeds in a container that recreates the city's daylight hours, humidity, Co2 levels - and all fed hydroponically in nutrient-rich water.
r/MachineLearning - [D] Interview with two senior data scientists at Microsoft about deep learning
I was blown away by these two incredibly talented data scientists. Nothing inspires me more than having a conversation with people who are literally 10 times smarter than me. We discuss Mat's work on building out patterns for distributed deep learning on Azure. We talk about computer vision, interpretability, robustness, ML engineering and the democratisation of deep learning. Finishing off we discuss where the deep learning space is going in the next 5 years!
r/MachineLearning - [P] Time Series Analysis - Predicting Electricity Consumption using an LSTM network
So, I compared the model with ARIMA and a few interesting findings. Firstly, there doesn't appear to be any seasonal component in the data - when decomposed with statsmodels, the series simply shows a straight line. Also, ARIMA showed a mean percentage error of 23%, whereas for LSTM it was just over 8%. The daily fluctuations in electricity consumption is quite volatile, so it looks like LSTM has an advantage over ARIMA here in that it is accounting for the inherent volatility in the series. While ARIMA would usually need to be combined with a model such as GARCH to estimate this volatility, the inherent nature of LSTM allows it to handle sequential data and in this case it looks like it's handling the volatility quite well.
4 Growing Enterprise AI Trends: Where Are We Now And Where Are We Going?
Is there more to AI than automation and data processing? And now that some of the more basic functions of AI have matured, we're going to see a sharp increase in the sophistication of AI, as it becomes more and more human. The following is a brief look at where the enterprise is when it comes to AI, and where we're about to start heading. As I noted above, there are some basic functions of AI that most companies have already adopted, and that we as users can feel confident about when it comes to functionality. Those include things like personalization (personalizing ads, email messaging, auto-texts, etc.) and recommendations (such as those you see on apps like Spotify, Netflix, or in your Amazon shopping card), and other martech, which is now widely available aaS for just about any size enterprise.
Dystopian Futures of the Past: Artificial Intelligence (AI) and its Social Impact through Film and Literature
The Metropolis (Released in 1927 in Germany) is a black and white science fiction movie. It is a silent movie available with a musical score and subtitles in English. The movie was directed by Fritz Lang. It shows a grim futuristic society in the city of Metropolis which is inhabited by two distinct classes: the industrialists live off the fat of the land, supported by the workers who live under the city and endure a bare-bones existence of backbreaking work. The story concerns a relationship between Freder (played by Gustav Frรถhlich), a young man from the industrialist class, and Maria (Brigitte Helm), an activist who preaches against the divide between the two classes.
US book publishers sue Audible over AI-powered transcription
Leading the suit are the so-called "Big Five" of US publishing: Hachette, HarperCollins, Macmillan, Penguin Random House and Simon & Schuster. At the center of the case is the Captions feature the Amazon-owned company announced last month. The feature uses machine learning to allow Audible users to transcribe an audiobook into text. Since it announced Captions, Audible has positioned the feature as a student aid. However, the company also plans to make it available to subscribers.