If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
In the 1960's, a variety of television shows delighted and entertained their audiences with exotic technological devices and fanciful futuristic automated assistants that helped humans at work, at home, and at play. We knew that the things we saw on science fiction and deep space adventure shows were fiction, not magic. But I suspect that if – in the sixties – we had encountered any of those technologies in real life, we almost certainly would have said it was some sort of magic trick – or filmmaker's special effect. What kinds of things are we talking about? Well, the list would include flying cars, robots delivering goods autonomously to anywhere, house-cleaning robots, food replicators, dynamically changing shapeshifters, handheld communication devices, touchless medical diagnostic assessment recorders, question-answering computers, computers playing chess (and other difficult games), and mysterious real-time "black box" universal translators.
The robots are killing Tesla. In a rare win for humans over robots in the battle for labor efficiency, Wall Street analysts have laid down a compelling argument that over-automation is to blame for problems at the billionaire Elon Musk's electric-car company. That is to say, the very innovation and competitive advantage that Musk says he's bringing to the car industry -- his nearly fully automated plant in Fremont, California -- is the reason Tesla is unable to scale quickly. According to the Bernstein analysts Max Warburton and Toni Sacconaghi, it's the robots that can't pump out Tesla's highly anticipated Model 3s fast enough. The whole process is too ambitious, risky, and complicated.
In humans, common sense is relatively easy to identify, albeit a bit difficult to define. Get in line at the end of it? Grab the red-hot end of a metal poker that was in the fire moments before? How do we teach something as nebulous as common sense to artificial intelligence (AI)? Many researchers have tried to do so and failed.
AI Incorporated, Canada's pioneering robotics and artificial intelligence research company, is working on a design for an autonomous refuse receptacle robot. A new application for mobile robotics, the new AI enhanced robotic system allows for a continuous cycle of mobile robotic devices to work in order to provide the end user with unending service. With this new application in mobile robotics, the company plans to use its Simultaneous Localization and Mapping (SLAM) technology combined with deep learning and to pioneer in a new generation of robots. The autonomous refuse receptacle robot is an application for the company's Versatile Self Localizing Autonomous Platforms (VSLAP). This new robot proprietary software called the Quantum Slam Operating System helps companies mobilize any given machine.
The Financial Times reported earlier this year that one of the largest clothing manufacturers, Hong Kong-based Crystal Group, proclaimed robotics could not compete with the cost and quality of manual labor. Crystal's Chief Executive, Andrew Lo, emphatically declared, "The handling of soft materials is really hard for robots." Lo did leave the door open for future consideration by acknowledging such budding technologies as "interesting."
Tesla racked up a $619 million loss in the third quarter, its biggest-ever, driving its shares sharply lower as the electric-car maker spends to speed up production of its more affordable Model 3 sedan. The company, led by Silicon Valley star Elon Musk, also confirmed it had missed its Model 3 production goal for the third quarter, producing only 260 vehicles compared to an earlier estimate of 1,500. Its shares fell 5.4 percent in after hours trading. The company said it had $3.53 billion in cash and cash-equivalents as of Sept. 30, compared to $3.04 billion at the end of the second quarter. Tesla said last month it delivered 26,150 vehicles in the third quarter, a 4.5 percent rise on the same period of 2016, but added that "production bottlenecks" had left the company behind its planned ramp-up for the $35,000 Model 3. On Wednesday it said it now hoped to achieve a production rate of 5,000 per month by the end of the first quarter of next year, pushed back from the end of this year.
Research analysts are the most likely employees on Wall Street to find themselves working with--or being replaced by--robots, according to a survey by Greenwich Associates. By next year, some 75% of banks and financial firms will either explore or implement artificial intelligence technologies, harnessing a variety of digital services to extract insights from mountains of data. While AI is probably near the peak of its hype cycle, several factors have helped it gain traction in recent years, according to Greenwich. Billions of images and documents are now available online for training computers to spot patterns and other high-level tasks. Advances in graphical processing units, which are adept at the kind of data crunching required by AI, are making sifting through daunting datasets much easier.
Sony shares rose more than 11% on Wednesday to a nine-year-high. The new Aibo features improved artificial intelligence software and enhanced motors and sensors that help the robot better resemble a real dog. The company said each device will develop unique behavior patterns depending on owner interactions and can work with other internet-connected electronics. The Aibo will be released first in Japan and cost ¥198,000 (about $1,700). New owners will also need to pay about $25 a month for cloud services to provide their devices with remote updates for things like teaching the robot new tricks.