This previous-generation machine still chugs along, and you'll save a bunch of cash. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. If you need a lightweight laptop with some gaming chops, last year's model of the Asus TUF Gaming A14 (8/10, WIRED Recommends) is currently marked down to just $900 at Walmart . This budget-friendly laptop was already a good choice at its original price, and is even more appealing when it's discounted to under $1,000.

The Nanit baby monitor uses a high-tech camera and software to track an infant's sleep habits. It is like a $249 AI parent who stays up all night logging rollovers and breathing patterns, and doesn't need coffee the next morning. So imagine shoppers' surprise when they type a question into the Nanit website and get a response from a real person instead of a chatbot.

EposAI.com is a short, clear and memorable premium domain on the world's #1 extension .com. It sounds artsy, ancient & mystical, and it's highly relevant to text & art generative AI. Many startups are now developing AIs capable of writing a whole EPOS and generating audiovisual art for it to produce artistic experience appealing to all senses. However, only one AI startup in the world can own the exclusive right to use the premium domain EposAI.com. We are now experiencing growing buyer interest in EposAI.com in our business network, however, the domain is still available for sale at the current price.

The news: US startup Agility Robotics has just made its two-legged robot Digit available to buy for the first time. The first customer is car giant Ford, which has been testing the robot for vehicle-to-door delivery since May 2019. Digit's digits: It's similar in size to a small adult, able to carry items weighing up to 40 pounds (18 kilograms), and can navigate semi-autonomously, using cameras and lidar sensors. The robot is able to pick boxes up and put them down without guidance, but tasks like avoiding obstacles still require help from humans via a teleoperation system. You can see a video of Digit in action here.

The news: US startup Agility Robotics has just made its two-legged robot Digit available to buy for the first time. The first customer is car giant Ford, which has been testing the robot for vehicle-to-door delivery since May 2019. Digit's digits: It's similar in size to a small adult, able to carry items weighing up to 40 pounds (18 kilograms), and can navigate semi-autonomously, using cameras and lidar sensors. The robot is able to pick boxes up and put them down without guidance, but tasks like avoiding obstacles still require help from humans via a teleoperation system. You can see a video of Digit in action here.

I have been involved in this process since 1975, when the Artificial Intelligence Corporation began to develop ROBOT, the prototype of INTELLECT, a commercially viable natural language interface to data base systems which has been on the market since 1981. In this article, I will discuss AI technology transfer with particular reference to my experiences with the commercialization of INTELLECT. Next, I will describe my interpretation of the present market structure for AI products and some specific marketing perspectives. I will then briefly describe the product INTELLECT and its capabilities as an example of a stateof-the-art commercial system. Next, I will describe some of the experiences, which I think are typical, that my company has encountered in commercializing INTELLECT Finally, I will summarize my main points and give some advice to AI researchers who are planning to commercialize their systems.

About this course: Welcome to Course 3 - Models & Frameworks to Support Sales Planning – In this course, you'll go through a conceptual approach to selling models and frameworks. As a primary learning outcome of this course, we emphasize the improvement in the analytical competencies and skills to develop sales planning and management. And the learning process goes through the application of the models and frameworks that contribute to supporting these processes. This course is aimed at professionals who seek improvement in conceptual support to the sales planning process, especially with an emphasis on applying selling models and frameworks methodology. At this point of the Strategic Sales Management specialization, you have an excellent understanding of the integration of sales planning to the strategy of the company.

Data mining isn't a new invention that came with the digital age. The concept has been around for over a century, but came into greater public focus in the 1930s. According to Hacker Bits, one of the first modern moments of data mining occurred in 1936, when Alan Turing introduced the idea of a universal machine that could perform computations similar to those of modern-day computers. Forbes also reported on Turing's development of the "Turing Test" in 1950 to determine if a computer has real intelligence or not. To pass his test, a computer needed to fool a human into believing it was also human.

Learning the fundamentals behind computer programming and robotics doesn't have to be a mind-numbing slog through dense lines of code--or at least that's the philosophy behind the Raspberry Pi microcomputer and its suite of educational tools. Whether you're a programming savant or a complete novice, you can master the essentials behind building robust programs and robots with the Raspberry Pi Mastery Bundle, and it's on sale for over 90 percent off. Boasting 8 comprehensive courses, this collection utilizes project-based training to help you develop a working knowledge of robotics and computer programming. Starting with the essentials, you'll learn how to use Raspberry Pi as a computer and code with Python to create a simple number guessing game. Then, once you're comfortable with the basics, you'll use your coding know-how to create your own hardware projects, like a walkie talkie that runs off Linux and a light detector mechanism powered via Python.

While most of the attention for how artificial intelligence (AI), machine learning and big data can impact companies is focused on the business to consumer (B2C) space, business to business (B2B) companies need to pay attention or they risk their future success. Customers have the same expectations for a simple and easy buying experience whether it's a B2C or B2B interaction. So, if you're in the B2B space, I hope your organization is beginning to explore and plan for, if not already implemented, big data and machine learning to your operations. Since the buying cycle for B2B is usually significantly longer and more complex than B2C (Gartner found there is an average of 5.4 people on corporate buying teams), I would argue that it's even more important for B2Bs to use machines in any way possible to quickly get to know customers and respond to decision-makers with the objective of closing sales as efficiently as possible. According to Salesforce's 2016 Connected Customer report, by 2020, 57% of business buyers will depend on companies to anticipate their needs and if they don't, business buyers will have no problem switching brands.