NPL generator as a reply to a request?

hi guys do we know some way for the formulation of answers with meaning to a given question? is there any library or tool or whatever that might help to develop a system able to formulate grammatically correct answers?

until now i know there are datasets which can be trained with tensorflow or any other ML library for a chatbot development, but the answer generated by the trained model is kinda forced because it already exists in the dataset you used,it’s actually been written by some guy, placed in the dataset and re-used by the algorithm and it may not be totally related to the question.

waiting for some clarifications and cool answers 🙂

submitted by /u/fr1d4y_
[link] [comments]

from Artificial Intelligence


If you train a chat bot from other people’s conversations, is the chat bot just repeating things/matching patterns

There would be no sense of "I" and any idea of what things mean right?

I’m not sure if you could take a dialogue and assign the AI the "perspective" of say the customer support rep.

Do you literally have to start from the basics of object proposition noun verb etc, sorry if I’m in the wrong sub, will see if there is a language ai one or something. NLP?

submitted by /u/crespo_modesto
[link] [comments]

from Artificial Intelligence

Kettering University Students Converting Chevy Bolt Into Autonomous Vehicle


January 18, 2018


Kettering University freshman Eric Smith is one of more than 60 students participating in the AutoDrive Challenge.

More than 60 Kettering University researchers are working on the university’s entry into the AutoDrive Challenge, in which teams convert a Chevrolet Bolt into a Level 4 autonomous vehicle.

Credit: Matt Durr/

Researchers at Kettering University are participating in the AutoDrive Challenge, which asks teams to convert a Chevrolet Bolt into a Level 4 autonomous vehicle over the course of three years.

The team is working on the vehicle’s ability to recognize road signs and how the car reacts to them in an autonomous state.

The challenge has proven to be more difficult than first thought as the technology must deal with unpredictable factors, including sunshine and signs in disrepair, which can affect a camera’s ability to read signs.

“We can have snow-covered signs, so we need to be able to accurately detect these in all sorts of environmental conditions,” says Kettering University’s Eric Smith. He is one of more than 60 researchers involved in the challenge, which requires the eight participating teams to hit different stages of completion.

The first challenge requires the vehicle to perform basic autonomous functions, including obstacle avoidance, sign detection, and lane changing.


View Full Article


Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA

Can Robots Tighten the Bolts on a Rickety Caregiver Sector?

By Scientific American

January 18, 2018


Robot attendant

A robot attendant prepares to lead an elderly patient to the dining room at a nursing home in Florence, Italy.

Credit: Laura Lezza Getty Images

In 2015 I was watching a dress rehearsal for a play about love, loss and aging. In a climactic scene, the lead actress gesticulated and shouted, while her co-star cowered before her—stuttering, repeating himself, faltering in the face of her tirade.

From Scientific American

View Full Article