In London, in a former bomb shelter underneath Clapham Common, for example, Growing Underground cultivates leafy greens, such as watercress, rocket and coriander. Built to shelter up to 8,000 people during the second world war, its tunnels now house rows of plants.“It was all [done using] standard agricultural equipment, save for LEDs,” says Steve Dring, […]

There’s a common thread that connects Google services such as Google Search, Street View, Google Photos and Google Translate: they all use Google’s Tensor Processing Unit, or TPU, to accelerate their neural network computations behind the scenes Source: An in-depth look at Google’s first Tensor Processing Unit (TPU) | Google Cloud Big Data and Machine […]

Source: What Is The Difference Between Machine Learning & Statistical Modeling

The essence of intelligence is the ability to predict, because predicting the future is a very special case of “filling in the blanks” about the state of the world, LeCun says. Common sense enables humans and animals to fill in missing information based on their knowledge of how the world works. That is why human […]

Like a brain, a deep neural network has layers of neurons—artificial ones that are figments of computer memory. When a neuron fires, it sends signals to connected neurons in the layer above. During deep learning, connections in the network are strengthened or weakened as needed to make the system better at sending signals from input […]

information like the most popular words in a conversation or who is influencing it rarely makes it into news reports based on sentiment analysis. And part of the problem with placing tweets in “positive or negative” buckets, as journalists (yours truly included) often ask data analysis firms to do, is that natural language processing is […]

Researchers have developed a smartphone-based program that can automatically detect diseases in the most widely grown root crop on Earth. Source: Phone-Powered AI Spots Sick Plants With Remarkable Accuracy

This is one of the problems with social media and using that data for training machine learning.  Garbage in garbage out.  Human nonsense begets more nonsense. Train the systems with quality control, including a moral and ethical filter if necessary. Source: Google (GOOG) explains how artificial intelligence becomes biased against women and minorities — Quartz

Believe the hype that AI can potentially boost your top and bottom line. Thirty percent of early AI adopters in our survey — those using AI at scale or in core processes — say they’ve achieved revenue increases, leveraging AI in efforts to gain market share or expand their products and services. Furthermore, early AI […]

Source: Why Understanding Morality is Key to Understanding Future With AI | Lets Talk Payments