the Monarch of Meat announced a campaign that takes advantage of some sloppy sign recognition in the Tesla Autopilot’s Traffic Light and Stop Sign control, specifically in instances where the Tesla confuses a Burger King sign for a stop sign (maybe a “traffic control” sign?) and proceeds to stop the car, leaving the occupants of Read more about Burger King Is Leveraging Tesla Autopilot’s Confusion To Sell Whoppers[…]

Sponge Examples: Energy-Latency Attacks on Neural Networks shows how to find adversarial examples that cause a DNN to burn more energy, take more time, or both. They affect a wide range of DNN applications, from image recognition to natural language processing (NLP). Adversaries might use these examples for all sorts of mischief – from draining Read more about How to jam neural networks[…]

We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training. Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet Read more about OpenAI GPT-2 creates credible texts from minimal input[…]

A new digital tool built to depixelize photos sounds scary and bad. Another way to remove privacy from the world. But this tool is also being used for a sillier and not terrible purpose: Depixelizng old game characters. The results are…nevermind, this is also a terrible use of this tool. “Face Depixelizer” is a tool Read more about Depixelizing Video Game Characters using AI Creates Monsters[…]

Machine learning models built for doing business prior to the COVID-19 pandemic will no longer be valid as economies emerge from lockdowns, presenting companies with new challenges in machine learning and enterprise data management, according to Gartner. The research group has reported that “the extreme disruption in the aftermath of COVID-19… has invalidated many models Read more about Machine-learning models trained on pre-COVID data are now completely out of whack, says Gartner[…]

a neural network can be trained to identify photos of dogs by sifting through a large number of photos, making a guess about whether the photo is of a dog, seeing how far off it is and then adjusting its weights and biases until they are closer to reality. The drawback to this neural network Read more about Teaching physics to neural networks removes ‘chaos blindness’[…]