Twitter's stock price jumped more than 4% Tuesday after billionaire investor Mark Cuban confirmed he acquired shares in the social media company. Mark Cuban, chairman of AXS TV and owner of the Dallas Mavericks, listens to testimony during a Senate Judiciary Subcommittee hearing Dec. 7, 2016 in Washington, DC. (Photo: Mark Wilson, Getty Images) According to CNBC, Cuban said he is buying shares in companies focused on tech such as artificial intelligence, deep learning and machine learning. "I started buying Twitter recently because I think they finally got their act together with artificial intelligence," during an interview on CNBC show Squawk Alley. During its quarterly earnings call last week, Twitter cited advances in machine learning on its platform to draw people back to the app when they have been away for a period of time, or to battle abuse and fight against spam accounts. Twitter also reported a boost in users in the first quarter, saying increased interest in news and politics was bringing both new and resurrected users to the platform.

When science fiction author Isaac Asimov devised his Three Laws of Robotics he was thinking about androids. He envisioned a world where these human-like robots would act like servants and would need a set of programming rules to prevent them from causing harm. But in the 75 years since the publication of the first story to feature his ethical guidelines, there have been significant technological advancements. We now have a very different conception of what robots can look like and how we will interact with them. The highly-evolved field of robotics is producing a huge range of devices, from autonomous vacuum cleaners to military drones to entire factory production lines.

Artificial intelligence can predict Supreme Court decisions better than some experts. "See you in the Supreme Court!" President Donald Trump tweeted last week, responding to lower court holds on his national security policies. But is taking cases all the way to the highest court in the land a good idea? Artificial intelligence may soon have the answer. A new study shows that computers can do a better job than legal scholars at predicting Supreme Court decisions, even with less information.

Samsung was granted permission by South Korea's Ministry of Land, Infrastructure and Transport to test run self-driving cars, Yonhap News reported. Samsung's autonomous vehicle is apparently under development and based on deep-learning technology, the report said. The approval Monday by officials will allow the company to test the self-driving vehicle on the roads. Samsung wants to develop top-of-the-line sensors and computer modules backed by artificial intelligence and deep-learning technologies. That technology would improve vehicles' self-driving capabilities, even in bad weather conditions, the report said.

The remarks by Cuban came six days after Twitter reported better-than-expected first-quarter earnings. The social media company has used algorithms to combat user harassment, vowing to prevent abusive behavior and block repeat offenders from the site. Twitter said in its first-quarter earnings release, it "continued to use other machine learning techniques to improve the relevance of notifications, which increased engagement and brought people back to Twitter." In March, Chief Executive Jack Dorsey said the impact of AI on society would be "positive," but he appeared unsure if the U.S. government is ready to deal with the impact. I think so, I hope so.

This course shows you how to accomplish some common NLP (natural language processing) tasks using Python, an easy to understand, general programming language, in conjunction with the Python NLP libraries, NLTK, spaCy, gensim, and scikit-learn. The course is designed for basic level programmers with or without Python experience. Jonathan Mugan is CEO and co-founder of DeepGrammar, a natural language processing company. Jonathan has a PhD in computer science from the University of Texas, and has been working in AI and machine learning since 2003. He describes his research focus as "making the squishy reality of our everyday world available to computation."

Mobvoi, a Chinese voice recognition startup, signed a strategic partnership to build a 50/50 joint venture targeting the automotive market with Volkswagen. The deal involved VW investing $180 million in a Mobvoi series D funding. Modvoi has developed an advanced Chinese speech recognition system, Chinese/English translation, semantic analysis and integrated vertical and proactive search, all adapted for and connected with a smart rear-view mirror that provides navigation, messaging and information through voice input. Prof. Dr. Heizmann, President and CEO of Volkswagen Group China said: "This partnership is a particular example of Volkswagen's determination to work with groundbreaking Chinese tech companies like Mobvoi to create new forms of people-oriented mobility technology. We are impressed by Mobvoi's innovative approach of AI technologies, and we are pleased to form this joint venture to explore the next generation of smart mobility."

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

There have been many different attempts to create a J.A.R.V.I.S type of AI system to act as a personal assistant, able to interact with you and automate things. These have been from high profile people like Mark Zuckerberg (Facebook) creating a version on J.A.R.V.I.S in his home, voiced by Morgan Freeman. This system has linked simple things like lights, music and toasters which all have IoT devices that you can link together, to more elaborate items such as a t-shirt dispenser, motors to open the curtains and face recognition door system. The brains behind are based on a chat bot and mobile app that the user can integrate with. Other J.A.R.V.I.S examples and developments range from simple lights and desktop interactions, to Amazon Alexa being used to control interactions with apps called J.A.R.V.I.S.

Artificial intelligence (AI), used widely on algorithms and robotic devices, can be racist as well as sexist just like humans, reveals a new study. The study, conducted by the Department of Psychology, University of Washington and published in the journal Science, shows how artificial intelligence that learns from human language is likely to pick up biases the same way as humans do. The biases range from linking women with stereotypical arts and humanities jobs, to associating European and American names with words that describe happiness, to matching pleasant words with white faces. The research was conducted by focusing on a machine learning tool known as "word embedding", which helps computers interpret speech and text. It builds an algorithmic language, in which the meaning of a word is distilled into a series of numbers.