Apple’s Knowledge Navigator Development in the Internet Age
This week the first transistor in Bell Labs and the two parc-linking the technology development milestones at Xerox’s Palo Alto pc to this year’s 30th anniversary knowledge Navigation, the computer was used as an incentive by Apple CEO John Sculley. Sculley told me earlier this year that he wanted to inspire people to believe that we were not the end of computer creativity, but only at the very beginning of the journey. According to Moore’s law, Sculley says they are confident that after 1987 they will be able to do multimedia, build communications with computers, simulate them, and develop computers that can act as intelligent assistants. The problem is “how to present it to people so that they believe it will happen” and the answer is “concept video.”
70 years ago this week, December 23, 1947, has proved to be a fundamental innovation in Moore’s law. Under the command of Walter H. Brattain and John A. Bardeen, B.sockley discovered the transistor effect and developed and demonstrated a point-contact germanium transistor. This leads directly to the development of solid-state devices that revolutionize the electronics industry and change the way people live, learn, work, and play around the world.
Over the next few years, many inventions were based on the ingenuity of engineers who figured out how to plug more and more transistors into integrated circuits, a process that allows computing devices to continue to be miniaturized while providing more power to perform more tasks.
The Austrian extension, inspired by Doug Engelbart (Doug Engelbart) ‘s “Mother of All demos” (Mother all Demos) (or all of the concept videos/demos about computing the future), inspired Steve For the first time in December 1979, Jobs saw the Parc on Xerox. The Alto graphical user interface (GUI) is used in Apple’s Lisa and Macintosh PCs. “It’s like taking a veil out of my eyes and I can see what the future of computing is,” Jobs told Isaacson Walter Isaacson.
In the 1986, Jobs was no longer with Apple and was busy using next computers to explore the future of computing. Sculley said Apple was “rising”. But Apple researcher Allen Kei said, “We won’t have Xeorx next time.” Through this Kay may mean that they miss Steve Jobs’s talents, recognize the emerging technologies and their potential to become successful products and his talents to create a compelling vision based on his insights. Sculley said: “I believe it is important to let people know that Apple is still creative after Steve leaves.”
Sculley, who visited universities and research laboratories to investigate emerging technologies and ideas, and discussed with Apple engineers, culminated in the Knowledge Navigation video, which he described as a vision of an interactive multimedia communications world in which computing is only a commodity enabler, Knowledge applications will be accessed by intelligent agents on a network that is connected to a large number of digitized information. Sculley predicts that by 2025 “This technology will be useful, indispensable, and will be done on the job” and the medical and educational redesign.
With his belief in the future, Sculley has invested or participated in the application of large data analysis and artificial intelligence to recreate work and health care, which include Zeta Global,rxadvance and arranges ticker. They no longer live in linear time
The knowledge navigation helps attract and retain talent, according to Sculley, it inspires a number of projects and products, QuickTime, desktop multimedia demo software for the Macintosh; Hypercard, the first real interactive scripting software can be used without programming knowledge; Newton, then known as the first hand-held computing device or personal digital assistant (PDA), was the product category. Newton itself was not successful, but it contained the ARM processor (the type of smartphones) that Apple has developed together. The company later sold arm licences at a price of 800 million dollars.
When we talking about “knowledge navigation” or smart assistants-Amazon’s Alexa, Google Now ans Apple’s Siri, Microsoft’s Cortana has finally become a reality, but they are far from demonstrating versatility and understanding (ie, intelligence) of visionary knowledge navigation.
It is also possible that we have never lived a linear time, which makes predictions, especially about the future, become difficult. As Peter Denning wrote in the ACM Newsletter (September 2012): “Unpredictability is not due to lack of information about system operating rules, due to insufficient processing capacity or limited storage.” This is because the results of the system depend on unpredictable events and human statements (social support for the adoption of specific technologies). Don’t be stupid enough to think that smart experts or powerful machines can overcome this possibility. Or as Metcalfe (Bob Metcalfe) wrote in the Internet crash (Internet collapses): “It’s relatively easy to predict the future. It’s hard to make accurate predictions. When the time is right, it is the hardest.
However, no matter how many predictions have been made, or because so many predictions have gone wrong, we are still looking for and creating signposts, potential choices, inspiring visions. In a series of papers edited in 1997, Ning and Metcalfe wrote that they wanted the book to be not about prophecy, but to propose “possibilities, questions, and choices that we would face about how information technology affects our future.”