![]() For example, Enlitic company uses deep learning to automatically label digital medical images and takes medical diagnostics to a completely another level. Weak AI can help diagnose patients with greater accuracy, improving overall patient health. Weak AI is used extensively in healthcare. So while Deep Blue’s accomplishments in 1997 of being the first program to beat a grandmaster in chess are impressive, no one would ever confuse Deep Blue for a human. Some examples of weak AI include image and voice recognition algorithms, and chess programs. And this task computer performs better than humans. Weak AI is when a computer is good only at a particular task. AI is generally divided into 3 different categories based on its capabilities. So instead of artificial intelligence, I think we’ll augment our intelligence.” -Ginni Rometty, former president of IBMĪrtificial Intelligence (AI) was launched in the early 1960s as a means of empowering computers to think and act more like humans. ![]() “Some people call this artificial intelligence, but the reality is this technology will enhance us.As leaders, it is incumbent on all of us to make sure we are building a world in which every individual has an opportunity to thrive.” – Andrew Ng, co-founder of Google Brain Yet the biggest harm that AI is likely to do to individuals in the short term is job displacement, as the amount of work we can automate with AI is vastly bigger than before. ![]() For example, we have seen AI providing conversation and comfort to the lonely we have also seen AI engaging in racial discrimination. “Much has been written about AI’s potential to reflect both the best and the worst of humanity.With the right controls in place, it is more likely that the technology will help us grow and advance to new levels. Jobs around the world are bound to be affected in the years ahead, but this does not have to be a bad thing. Undoubtedly, Artificial Intelligence, Machine Learning, and Deep Learning will have an impact on society and automation. “A year spent in artificial intelligence is enough to make one believe in God.” – Alan Perlis, a pioneer in programming languages.However, we can get incrementally closer to that, and that is basically what we work on.” – Larry Page, co-founder of Google It would understand exactly what you wanted, and it would give you the right thing. The ultimate search engine that would understand everything on the web. “Artificial intelligence would be the ultimate version of Google.Some quotes point to its future impact and clearly indicate the benefits of gaining knowledge in the discipline: Many industry veterans and business tycoons have varying views of Artificial Intelligence and its step-children, Machine Learning and Deep Learning. The Perception of AI, ML, and Deep Learning While there is some overlap between AI, Machine Learning, and Deep Learning, the words themselves are not interchangeable. Data Learning performs multi-layered processing of data to receive more complex information about it. It mimics the human brain best of all, as it uses an artificial neural network that resembles a biological neural network. Deep Learning is a subset of Machine Learning.Machine Learning uses algorithms that gain experience from received data and make predictions based on it. Machine Learning is a subset of AI where scientists work on the ability of computers to learn autonomously. ![]() AI scientists attempt to create a computer that will be able to replicate a human mind, the concern is that the exact model of how our brain works still hasn’t been discovered.
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