Machine comprehension, answering a question depending on a given context paragraph is a typical task of Natural Language Understanding. It requires to model complex dependencies existing between the question and the context paragraph. There are many neural network models attempting to solve the problem of question answering. The best models have been selected, studied and compared with each other. All the selected models are based on the neural attention mechanism concept. Additionally, studies on a SQUAD dataset were performed. The subsets of queries were extracted and then each model was analyzed how it deals with specific group of queries. Based on these three model ensemble model was created and tested on SQUAD dataset. It outperforms the best Mnemonic Reader model.

Elon Musk's Starhopper has taken another major step toward reality. The prototype ship blasted off from the Boca Chica, Texas test site on Tuesday evening just after 5 p.m. local time (6 p.m. ET) for its 150-meter untethered flight test. While it was at first enshrouded in smoke and flames, the water tower-shaped vehicle emerged moments later to be seen rising high above the ground without any obstructions to the view. The successful test comes after SpaceX was forced to abandon its attempt on Monday to allow for a last-minute inspection of the craft's igniters. Musk tweeted his congratulations to the SpaceX team not long after Tuesday's achievement wrapped up.

The judge is recommending a criminal probe be opened up into the technology exchange to Uber. Former Google engineer Anthony Levandowski, who quit the tech giant before merging his own startup with Uber, has been charged with stealing Google's self-driving car trade secrets, federal prosecutors announced Tuesday. Levandowski, 39, who served as the head of Uber's self-driving project, had been named in a 2017 lawsuit brought against Uber by Waymo, Google's former self-driving car unit, claiming that the popular ride-sharing app stole trade secrets from Google. That suit ended in a settlement of $245 million. At the time, federal judge William Alsup, who was overseeing the case, recommended criminal charges against Levandowski.

SINGAPORE (Reuters) - Roaming peacocks, meandering tourists and curbside bushes were all causing headaches this week for operators of one of the first autonomous bus shuttle services to hit public roads in Singapore. Passengers found themselves almost outnumbered by bus stewards checking their seatbelts were tightly fastened as ST Engineering began testing four vehicles in the coastal district of Sentosa. Singapore, ranked second behind the United States in its preparedness for wide-scale driverless transport in a recent KPMG report, plans to deploy autonomous buses in three districts of the island from 2022. The latest trial, due to run until November 15, is being closely watched by tech firms and automakers around the world following a series of mishaps. "Public safety is our top priority," Singapore's transport ministry said in a joint statement with ST Engineering.

An engineer checking and controlling welding robotics automatic arms machines in an intelligent industrial automotive factory using a monitoring system software used to belong to the science fiction realm. However, this is the reality of digital manufacturing operations in today's Industry 4.0 smart factories. Industry 4.0 is a concept that originated in Germany and is related to the integration of Internet of Things (IoT) and Machine-to-Machine (M2M) technology with networking and analytics with industry processes. Another ingredient in Industry 4.0 is Artificial Intelligence, one of the fastest growing emerging technologies with a market expected to reach $70 billion by 2020. Artificial Intelligence is transforming jobs across all industries already, a tendency that is increasing.

Bengaluru-based cab aggregator unicorn Ola has acquired Bengaluru-based artificial intelligence platform Pickup.ai. As part of the deal, the co-founders and employees of Pikup.ai will join the Ola team. When it comes to technology, Ola has been leveraging a lot and has been scaling volumes of success and growth. Its Electric Vehicle arm Ola Electric Mobility became one of the fastest unicorns in India last month. The company too highlighted its commitment and intent of investing in technology especially AI and ML to build futuristic mobility solutions for India and the world.

It would be difficult nowadays not to come across a piece of news, article or posting related to Artificial Intelligence, or AI. Whether it is smart appliances and home automation systems with intelligent digital assistants, autonomous vehicles, advanced medical diagnostics, virtual reality, or even human-like automatons supplanting humans themselves – such as the recent news of the humanoid robot piloting a spacecraft and attempting to dock at the International Space Station – there seems to be no stopping AI. AI is not a new concept. In fact, it was coined over sixty years ago by John McCarthy during a conference with fellow scientists at Dartmouth College in New Hampshire. Yet AI, described as the ability for machines to simulate intellectual processes characteristic of humans, is an area of study that has existed long before its inception as an academic discipline.

Book a flight now, and Google Flights' says they'll make sure you get the best price. The indictment filed by the U.S. attorney's office in San Jose, California, is an offshoot of a lawsuit filed in 2017 by Waymo, a self-driving car pioneer spun off from Google. Uber agreed to pay Waymo $245 million to settle the case last year, but the federal judge overseeing the lawsuit made an unusual recommendation to open a criminal probe after seeing enough evidence to conclude a theft may have occurred. Uber considered having self-driving technology crucial to survive and counter potential competitive threats from Waymo and dozens of other companies working on robotic vehicles. Uber wants to build self-driving cars so it can eliminate the need to have a human behind the wheel, one of the biggest expenses in its still-unprofitable ride-hailing service.

Based on some recent conversations, I realized that text preprocessing is a severely overlooked topic. A few people I spoke to mentioned inconsistent results from their NLP applications only to realize that they were not preprocessing their text or were using the wrong kind of text preprocessing for their project. With that in mind, I thought of shedding some light around what text preprocessing really is, the different methods of text preprocessing, and a way to estimate how much preprocessing you may need. For those interested, I've also made some text preprocessing code snippets for you to try. To preprocess your text simply means to bring your text into a form that is predictable and analyzable for your task.

While some education experts applaud the advancement of high-tech grammar tools as a way to help people more clearly express their thoughts, others aren't so sure. Artificial intelligence, according to the contrarians, is only as smart as the humans who program it, and often just as biased. "Language is part of your heritage and identity, and if you're using a tool that is constantly telling you, 'You're wrong,' that is not a good thing," said Paulo Blikstein, associate professor of communications, media and learning technology design at Columbia University Teachers College. "There is not one mythical, monolithical (English) … And every time we have tried to curtail the evolution of a language, it has never gone well." In the era of spellcheck and auto-correct, does it matter that my son can't spell?