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- 2032 - Computers - the future is here. - Computers are reaching new capabilities that are going to significantly change our daily lives. Computers are joining embedded sensors and internet connectivity that will have appliances responding to voice commands. There will be a pervasive inclusion of sensors in millions of common devices.
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------------------------------- - 2032 - Computers - the future is here.
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- Computers are reaching new capabilities that are going to significantly change our daily lives. Computers are joining embedded sensors and internet connectivity that will have appliances responding to voice commands. Not just your TV but many of your appliances will contain machine learning that can take over mundane tasks. Appliances will have more computational capability that is easily affordable.
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- The laws of physics have taken us to the limit of the miniaturization of transistors. At the same time these new computer intensive applications require exponentially more computer capability. More real-time information and faster response. To do this it can not be in the cloud. It needs to be closer to the user. High performance computer capability must be local. In your car , in your home, in your cell tower, yet, still connected to the cloud.
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- There will be a pervasive inclusion of sensors in millions of devices. This will create a data explosion needing real-time processing and analysis. New processing will allow overlays of information. The power needs to enable lifelike imaging and graphics of a real world view.
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- With this capability surgeons will perform operations with more accuracy and even perform them remotely.
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- These type of technological changes cause disruptions in industry after industry. To get this technology we will need to put chip technology together in new and different ways. We will need processors and specialized accelerators feeding more advanced memories. Software applications ecosystems will make it easy to use advanced machine learning.
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- We will most certainly be using extreme ultraviolet lithography leading to ever smaller transistors. All this will cause an insatiable demand for more memory. This in turn will create new non-volatile memory and stacked memory chip designs. New techniques will connect multiple dies on to organic packaging. There will be 3D die stacking of the CPU. Laser technology will bring optical interconnectivity right to the die.
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- To accomplish this technology turnover we will need to use co-engineering and the cooperative approaches across the semiconductor industry. They will need to be working with academia and using open standards in order to have the innovative environment necessary.
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- Engineers are confident they can continue the technology disruption needed for future progress in innovations. Stay in school there is a lot more new stuff to learn. If you can’t keep up, take notes.
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OTHER REVIEWS AVIABLE:
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- 1847. - Computer evolution. Computer power remains on an exponential growth path. An example of exponential growth. A cold virus can grow from 1 virus to 10 billion viruses in just 5 generations. Smart pills will contain TV cameras to help the doctor complete her diagnosis. “Intel Inside” has whole new meaning.
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- 1958. - Computer designs and applications in the medical field. Magnetic Resonance Imaging uses a very strong magnetic field to orient atoms in the tissues. Sound waves are used to break up kidney stones. Doctors must now learn physics to do their best treatments.
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- 1420. - Supercomputers in the hands of engineers. Designing airplanes, forecasting weather, simulating cancer radiation therapy, and more.
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- 1373. - How computers will get faster. Computers are being designed for cognitive computing. Comparing supercomputers with the human brain in memory, speed, and power consumption.
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- 1130. - What will continue to make computers smaller, faster, and cheaper? Provides seven separate avenues that innovation is approaching this goal.
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------------------------- Monday, March 5, 2018 --------------------------------
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