Newswire) Investorideas.com, a global news source and investor resource covering actively traded sectors announces it has added new distribution for the Investor Ideas Newswire with a new site hosted on the Grid https://thegrid.io/, a newly launched artificial website building company. Investor Ideas was one of the founding members and beta testers of the personal AI web developer. The Grid has finalized beta testing and recently went live, add new features and tools. "The site is still a work in progress for us as we get to wrap our heads and hands around the artificial intelligence that it provides but we felt that we wanted to test first- hand how this new technology works " said founder D. Zant of Investor Ideas. This is not another do-it-yourself website builder.

Autonomous robots can perform actions or complete tasks with a high degree of autonomy, which makes them ideal for applications such as space exploration or cleaning your living room carpet. Mobile robots are capable of moving from place to place. Researchers say a wearable tattoo can deliver accurate blood-alcohol level readouts to its wearer's smartphone. Put these capabilities together and you got a powerful machine that can handle lots of tasks in industrial environments such as factories, as well as in hospitals, hotels, and other areas. And, in fact, one of the more prominent trends in robotics today is the growing popularity of autonomous mobile robots (AMRs), with new vendors jumping into the market and sales on the rise.

An IPO legitimize TPaaS (Telco Platform as a Service.) Huge firms seek to corner "Big Data in the Cloud." Start-ups take command of "The Internet of Things." These highly-ambiguous terms have replaced "Mobile", "Social" and "Collaboration" in the word clouds of the Digital Age. They are shiny objects with great growth potential and transformative power.

A future chart-topping song may soon come from an algorithm. Sony Computer Science Laboratory (CSL) in Paris is developing a system of algorithms which can create songs that cater to the user's taste, based on styles adapted from existing music. The starting point of the song creation is a database of sheet music of more than 13,000 existing songs, from which the user can choose any number of titles with a sound or feel they would like the new song to incorporate. The algorithm analyses the songs' characteristics, and statistical properties related to rhythm, pitch and harmony. It will learn, for instance, which notes "go well" with a given chord, what chord is probable after a given chord, or which notes usually follow after a given note.

Most amputees use purely aesthetic prostheses. They find it difficult to accept a robotic limb that is not only by and large complicated to use but also has somewhat unnatural motion. Most of the models on the market today can only execute a few simple gestures, for example opening and closing the fist, and often in a very jarring way. Furthermore, users can't always properly control the magnitude of the movement, which adds a safety risk to the mixture. Scientists are therefore striving to bring prosthetic movements closer to those of the human body by using machine learning, a technique also used in artificial intelligence.

Major technology firms are racing to infuse smartphones and other internet-linked devices with software smarts that help them think like people. The effort is seen as an evolution in computing that allows users to interact with machines in natural conversation style, telling devices to tend to tasks such as ordering goods, checking traffic, making restaurant reservations or searching for information. Google is making a high-profile push into AI, with the internet titan's chief referring to it as a force for change as powerful as powerful as smartphones. Google Assistant software is being built into new Pixel handsets - aiming to outdo Apple's Siri - enabling users to organize and use information on the devices and in the cloud - to check emails, stay up to date on calendar appointments, news or ask for traffic and weather data. Google also offers AI through its Allo messaging application which can be installed on smartphones, and its Google Home hub, a stand-alone device similar to Amazon's Echo which responds to voice commands to manage tasks and fetch information where people live.

Aritifical intelligence is rapidly becoming one of the most prevalent topics in technology and today's titans are not ignoring the trend. All of the major companies, it seems, are now investing in machine learning one way or another. Who will win the AI arms race? Impossible to say this early, but consumers stand to benefit regardless. The permeation of AI through daily services and products will simply mean a superior experience for end users.

The AI 100 recognizes the teams and technologies that are successfully using AI to solve big challenges. The award winners will be announced on January 10th at The Innovation Summit being hosted at the Bacara Resort in Santa Barbara, CA. Companies will be selected on the basis of their Mosaic scores and their responses to interviews/questions posed by CB Insights' industry analysts. Companies can be located anywhere and must be privately-held. There is no cost to nominate a company or win the AI 100.

An artificial intelligence chatbot designed by a 19-year-old Stanford student appealed over 4,000,000 in parking fines in just twenty-one months, The Guardian reported. The AI is at the heart of a free service called DoNotPay that was designed by London native Joshua Browder to help users contest parking fines. After racking up 30 parking tickets in and around London when he was 18, the self-taught coder decided to help his fellow parking-challenged motorists with a program that would help them navigate the ticket appeals process. "I think the people getting parking tickets are the most vulnerable in society," Browder told The Guardian. "These people aren't looking to break the law. I think they're being exploited as a revenue source by the local government."

New research provides a Rosetta Stone that translates the language of reinforcement learning to the quantum realm. It tackles sticky questions like what it means for a quantum agent to learn and how the history of a quantum agent's interaction with its environment can be captured in a meaningful way. It also shows how a standard algorithm in the quantum toolkit can help agents learn faster in settings where an early stroke of luck can make a big difference--like when learning how to navigate a maze. Future research could investigate whether a quantum computer, with the added help of a quantum agent, could learn about its own noisy environment fast enough to change the way it reacts to errors. The work may also shed light on one of the deepest questions in physics: How does the everyday world arise from interactions that are, at the microscopic level, described by quantum mechanics?