TechCrunch: Facebook speeds up AI training by culling the weak

TechCrunch: Facebook speeds up AI training by culling the weak. “Training an artificial intelligence agent to do something like navigate a complex 3D world is computationally expensive and time-consuming. In order to better create these potentially useful systems, Facebook engineers derived huge efficiency benefits from, essentially, leaving the slowest of the pack behind.”

The Next Web: Google’s new AI language model can comprehend entire books

The Next Web: Google’s new AI language model can comprehend entire books . “One of the prime challenges of a language-based AI model is to understand the context of the surrounding content. To solve this problem, Google has introduced a new model called Reformer, which understands the context of 1 million lines using just 16GB space. The company built this to solve problems of its old model Transformer — a neural network that compares words in a paragraph to each other to understand the relationship between them.”

The Horizons Tracker: The New Database To Help Robots Learn

The Horizons Tracker: The New Database To Help Robots Learn. “Databases such as ImageNet have long been the bedrock of the AI revolution we’re experiencing today. With 14 million or so images, they provide a vast repository of content with which to train algorithms. It’s a trick that roboticists are attempting to replicate with a new database, known as RoboNet.”

CNN: How your poop can help train AI

Behold, the GROSSEST THING I HAVE EVER PUT IN RESEARCHBUZZ, from CNN: How your poop can help train AI. “The next time you go to the bathroom, a couple startups are hoping you’ll snap a photo before you flush. For scientific reasons, of course. No, really. Two companies — Auggi, a gut-health startup that’s building an app for people to track gastrointestinal issues, and Seed Health, which works on applying microbes to human health and sells probiotics — are soliciting poop photos from anyone who wants to send them.”

Inside the 1TB ImageNet data set used to train the world’s AI: Nude kids, drunken frat parties, porno stars, and more (The Register)

The Register: Inside the 1TB ImageNet data set used to train the world’s AI: Nude kids, drunken frat parties, porno stars, and more. “ImageNet – a data set used to train AI systems around the world – contains photos of naked children, families on the beach, college parties, porn actresses, and more, scraped from the web to train computers without those individuals’ explicit consent. The library consists of 14 million images, each placed into categories that describe what’s pictured in each scene. This pairing of information – images and labels – is used to teach artificially intelligent applications to recognize things and people caught on camera.”

New York Times: A.I. Is Learning From Humans. Many Humans.

New York Times: A.I. Is Learning From Humans. Many Humans.. “A.I., most people in the tech industry would tell you, is the future of their industry, and it is improving fast thanks to something called machine learning. But tech executives rarely discuss the labor-intensive process that goes into its creation. A.I. is learning from humans. Lots and lots of humans.”

Bates College: Bates Announces $3.97 Million National Science Foundation Grant For Visual Database Project

Bates College: Bates Announces $3.97 Million National Science Foundation Grant For Visual Database Project. “Bates College has received a National Science Foundation grant of $3.97 million to create a groundbreaking Visual Experience Database to support research in fields that rely on the analysis and recognition of images, such as neuroscience, cognitive science, and artificial intelligence. The largest-ever federal grant awarded to Bates, the four-year award will fuel the creation of a vast gallery of videos that depict what, and how, people see as they go about daily activities.”