Kurzweil as if invites you to participate in the intellectual game and collect the puzzle – picture of the future of his old and new predictions.
2020 – Personal computers reach the computing power comparable to human brain.
2025 – The Emergence of mass market gadgets-implants.
2030 – The Flowering of nanotechnology in industry that will lead to a signicant reduction in the cost of production of all products.
2035 – Space technology will be sufficiently developed to ensure the protection of the Earth from the threat of asteroid impacts.
2040 – The Search engines will be the basis for gadgets that will be implanted in the human body. The search will be carried out not only through language, but through thoughts, and the search results will be displayed on the screen the same lenses or glasses.
2045 – The onset of the technological singularity. The earth will turn into one giant computer.
2099 – The Process of technological singularity extends to the entire Universe.
If we want to avoid becoming redundant with the artificial intelligence that is slowly surrounding us, we must merge with machines to stay relevant. That’s one of the messages that Tesla CEO Elon Musk shared at the World Government Summit in Dubai.
What Musk is referring is often called “transhumanism,” or an enhancement of humanity’s capabilities through science and technology. To a certain degree, transhumanism is a daily reality for many people. We keep iPhones, tablets, and laptops on our persons now in a way that was rare a decade ago.
So, too, do brain-computer interfaces assist individuals with disabilities, like enabling communication for persons with traumatic brain injuries or elevating motor control for patients with paralysis. In these cases, the brain via implanted electrodes signals and translates a motion command for a robot or cursor.
Musk adheres to the idea that humans need to harness and integrate that processing power, rather than keep it exterior. He analogized how we type as a way to communicate at the rate of 10 bits per second in comparison to a computer’s trillion bits per second. “Some high bandwidth interface to the brain will be something that helps achieve a symbiosis between human and machine intelligence and maybe solves the control problem and the usefulness problem,” Musk continued. These problems of “control” and “usefulness” can alleviate a future scenario in which, as artificial intelligence becomes more sophisticated, it could lead to mass unemployment. Suggesting that the categories of jobs that a robot can’t do better than humans will become fewer and fewer, Musk insisted that, to add value to the economy, we must augment our capabilities through this combination of biological and machine intelligence.
A small quantum computer is able to run a number of algorithms
Superposition in Quibit
Computer scientists have created a small programmable quantum computer that can run a number of quantum algorithms.
Quantum computers have the potential to be much faster than conventional computers but due to the physics underlying their creation they are difficult to program and reconfigure.
Now, a new, small, quantum computer has been built by a research team at the University of Maryland. It is one of the first significant steps towards scaling up the devices.
Using laser pulses, which can be turned on and off, the academics were able to implement the quantum algorithms.
The device is made up of five pieces of quantum information – known as qubits. Traditionally bits can only ever be in the state of 0 or 1, but a qubit can be a supposition of both.
In reality this means a large-scale quantum computer (which has not yet been achieved) would be made of many qubits that can answer multiple questions at once. Such a device would be much faster than any computer that exists today and would be able to process multiple things at once.
Now the Maryland researchers plan to start working on exactly this. “The next step is to miniaturise the system; to come up with a compact version,” Debnath explains. “This means improving the ion trap, improving the way you deliver the lasers and all your controls into the system. Also, to scale it up and have more qubits in the processor.”
The theory behind this has yet to be completely proved but the latest work does allow for the scaling to be started.