WaveSense to Use Geo Radars For Autonomous Vehicles

Company believes that this can improve the safety of self-driving cars
22 August 2018   713

WaveSense executive director Tarik Bolat announced that radars, lidars and cameras do not provide full-fledged safety of self-driving cars. In rain, snow and fog, sensors may not recognize road signs or markings and make mistakes when constructing a route. To solve this problem, he proposed to work the way through the maps of underground objects.

It is proposed to use georadars for orientation on the underground map. They are equipped with 12-element antenna arrays to transmit high-frequency magnetic pulses. Waves penetrate to a depth of three meters below the earth's surface and are reflected from underground objects: pipes, stones and tree roots. The received signals are checked against the underground WaveSense card and help the autopilot system to determine the location of the car.

The technology was developed at the Lincoln Laboratory at the Massachusetts Institute of Technology. It was intended for military equipment used in regions with bad roads without road signs.

The effectiveness of the system was proved in 2016. Georadar was installed on a sports truck, and in a snowstorm the car remained on its lane with an error of not more than 4 cm.

The head of WaveSense admitted that the technology is not capable of completely replacing radars, lidars and cameras. It is proposed to be used as an addition to existing sensors operating under conditions of poor visibility. With all its advantages, the WaveSense system is difficult to deploy, as each road needs individual scanning.

OpenAI to Create Fake News Creating Algorithm

On the basis of one or two phrases that set the theme, it is able to “write” a fairly plausible story
18 February 2019   145

The GPT-2 algorithm, created by OpenAI for working with language and texts, turned out to be a master in creating fake news. On the basis of one or two phrases that set the theme, it is able to “compose” a fairly plausible story. For example:

  • an article about scientists who have found a herd of unicorns in the Andes;
  • news about pop star Miley Cyrus caught on shoplifting;
  • artistic text about Legolas and Gimli attacking the orcs;
  • an essay on how waste recycling harms the economy, nature, and human health.

The developers did not publish the source code of the model entirely, fearing abuse by unscrupulous users. For fellow researchers, they posted on GitHub a simplified version of the algorithm and gave a link to the preprint of the scientific article. The overall results are published on the OpenAI blog.

GPT-2 is a general purpose algorithm. The developers taught it to answer questions, “understand” the logic of a text, a sentence, finish building phrases. In this case, the algorithm worked worse than the model of a specific purpose. Researchers suggest that the indicators can be improved by expanding the training datasets and choosing computers more efficiently.