Technology Forecast Research Paper Example | Topics and Well Written Essays - 1000 words - 1

Technology Forecast - Research Paper ExampleIt is for this reason that bright phone devices are ever power stingy. A Neuromorphic chip refers to minute microprocessors which are configured to twin the puddle of the human brain. The neuromorphic chips replicate the functioning of the biological neurons that are found in the human brain. The chips endure an insight on how the brain of a rational human being processes information.If the technology is actualized, it would lead to the ontogeny of electronic systems that are extremely fast, utilize minimal power and can easily make sand of sensory input and undertake to deliver in real time the tasks that are user specify (Rothenbuhler, 2013). More significantly, devices that are based on the neuromorphic chip will accommodate the ability to interact with the creative activity in exactly the same manner a human being would. Robotic medical devices will be in a position to track a patients response to medication over a certain tim e period and learn to review the dosage limit and catch new(prenominal) problems just like a doctor would. Just by wearing a smartphone gear, it may work with the brain to establish who one is thinking about and in that instance place a see to that particular person. Alarms in the schedule might go off in the expected time charge though such alarms were not preset. .Toby Delbruck and Shih-Chii Liu (2012) observe that conventional technology has always been far outpaced by biological efficiency and it is for this reason that neuromorphic engineering designers have set out to develop electronic systems which have a similar computational style with the human biological system. The authors observe that neuromoprhic engineers are already make notable milestones characterized by the ever increasing number of sensory applications and sensors that have the capacity to communicate finished signals that resemble the neural spikes in a human brain. Other pointer towards the expected break through and tumescent scale deployment of the neuromorphic chips