Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial. Whether such an outcome would spell defeat for the strong AI thesis that human-level artificial intelligence is possible would depend on whether whatever else it might take for general human-level intelligence – besides computation – is artificially replicable.
The platform consists of tools for every step in the modern machine learning lifecycle—from developing machine-learning models to building intelligent applications to integrating machine learning outputs into business intelligence and visualization tools—so it’s accessible by business teams.
Artificial intelligence has been the subject of breathtaking optimism, has suffered stunning setbacks and, today, has become an essential part of the technology industry, providing the heavy lifting for many of the most difficult problems in computer science.
However, the long-term goal of many researchers is to create general AI (AGI or strong AI) While narrow AI may outperform humans at whatever its specific task is, like playing chess or solving equations, AGI would outperform humans at nearly every cognitive task.
Can Artificial Intelligence Be Smarter Than A Person?
A branch of Computer Science named Artificial Intelligence pursues creating the computers or machines as intelligent as human beings. While Hollywood movies and science fiction novels depict AI as human-like robots that take over the world, the current evolution of AI technologies isn’t that scary – or quite that smart. Things can get confusing because neural nets tend to be particularly good at machine learning, so those two terms are sometimes conflated.
While such efforts added some values and helped different teams to have the first experience in using AI capabilities to solve some business problems, it resulted in scattered ML algorithms on the loose across organizations. Of course, before the day when general human-level intelligent machine behavior comes – if it ever does – we’ll have to know more.
An AI technology that enables systems to learn without being programmed, machine learning is pushing the innovation boundaries across all industries, from healthcare to financial services. This is driving an overwhelming wave of demands and investments across industries to apply AI technologies to solve real-world problems and create smarter machines and new businesses.
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Artificial intelligence has the potential to transform manufacturing tasks like visual inspection, predictive maintenance, and even assembly. There are a vast number of emerging applications for narrow AI: interpreting video feeds from drones carrying out visual inspections of infrastructure such as oil pipelines, organizing personal and business calendars, responding to simple customer-service queries, co-ordinating with other intelligent systems to carry out tasks like booking a hotel at a suitable time and location, helping radiologists to spot potential tumors in X-rays, flagging inappropriate content online, detecting wear and tear in elevators from data gathered by IoT devices, the list goes on and on.
Some of them are hackers, members of powerful gangs who …
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