We all know how the Internet of Things has made it possible to turn everyday devices into sources of raw data for analysis in order to generate business insight. These are brain-inspired networks of interconnected layers of algorithms, called neurons, that feed data into each other, and which can be trained to carry out specific tasks by modifying the importance attributed to input data as it passes between the layers.
Besides, whatever the other intellectual abilities a thing might manifest (or seem to), at however high a level, without learning capacity, it would still seem to be sadly lacking something crucial to human-level intelligence and perhaps intelligence of any sort.
Both owners and E&C firms can explore nontraditional partnerships with organizations outside the industry to pool advanced R&D efforts that have multiple applications across industries (for example, start-ups, universities, or even major players in other sectors where AI is more evolved).
Indeed, adjacent industries, such as transportation and manufacturing, are already in the process of breaking down the barriers between one another and operating more as ecosystems (for example, solutions, tools, and algorithms that were industry-specific are more likely to become effective having impact across industries)â€”increasing the threat of competition from market entrants that have not traditionally been capital project players.
Artificial Intelligence Is A Must, Not A Need
Dramatic success in machine learning has led to a torrent of Artificial Intelligence (AI) applications. At the same time, the cancer center’s IT group was experimenting with using cognitive technologies to do much less ambitious jobs, such as making hotel and restaurant recommendations for patients’ families, determining which patients needed help paying bills, and addressing staff IT problems.
Artifacts whose intelligent doings would instance human-level comprehensiveness, attachment, and integration – such as Lt. Commander Data (ofÂ Star Trek the Next Generation) and HAL (ofÂ 2001 a Space Odyssey) – remain the stuff of science fiction, and will almost certainly continue to remain so for the foreseeable future.
If this AI’s goals do not reflect humanity’sâ€”one example is an AI told to compute as many digits of pi as possibleâ€”it might harm humanity in order to acquire more resources or prevent itself from being shut down, ultimately to better achieve its goal.
Association For The Advancement Of Artificial Intelligence
The University of Georgia has always viewed Cognitive Science and Artificial Intelligence as interdisciplinary fields where computer science meets philosophy , psychology , linguistics , engineering and other disciplines. Human-inspired AI has elements from cognitive as well as emotional intelligence , understanding, in addition to cognitive elements, also human emotions considering them in their decision making Humanized AI shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), able to be self-conscious and self-aware in interactions with others.
41 Faster computers , algorithmic improvements, and access to large amounts of data enabled advances in machine learning and perception; data-hungry deep learning methods started to dominate accuracy benchmarks around 2012 42 The Kinect , which provides a 3D body-motion interface for … Read More..